Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic Trust Management for Mobile Networks and Its Applications.

Trust management in mobile networks is challenging due to dynamically changing network environments and the lack of a centralized trusted authority. In this dissertation research, we design and validate a class of dynamic trust management protocols for mobile networks, and demonstrate the utility of dynamic trust management with trust-based applications. Unlike existing work, we consider social trust derived from social networks in addition to traditional quality-ofservice (QoS) trust derived from communication networks to obtain a composite trust metric as a basis for evaluating trust of nodes in mobile network applications. Untreated in the literature, we design and validate trust composition, aggregation, propagation, and formation protocols for dynamic trust management that can learn from past experiences and adapt to changing environment conditions to maximize application performance and enhance operation agility. Furthermore, we propose, explore and validate the design concept of applicationlevel trust optimization in response to changing conditions to maximize application performance or best satisfy application requirements. We provide formal proof for the convergence, accuracy, and resiliency properties of our trust management protocols. To achieve the goals of identifying the best trust protocol setting and optimizing the use of trust for trust-based applications, we develop a novel model-based analysis methodology with simulation validation for analyzing and validating our dynamic trust management protocol design. The dissertation research provides new understanding of dynamic trust management for mobile wireless networks. We gain insight on the best trust composition and trust formation out of social and QoS trust components, as well as the best trust aggregation and propagation protocols for optimizing application performance. We gain insight on how a modeling and analysis tool can be built, allowing trust composition, aggregation, propagation, and formation designs to be incorporated, tested and validated. We demonstrate the utility of dynamic trust management protocol for mobile networks including mobile ad-hoc networks, delay tolerant networks, wireless sensor networks, and Internet of things systems with practical applications including misbehaving node detection, trust-based survivability management, trust-based secure routing, and trust-based service composition. Through model-based analysis with simulation validation, we show that our dynamic trust management based protocols outperform non-trustbased and Bayesian trust-based protocols in the presence of malicious, erroneous, partly trusted, uncertain and incomplete information, and are resilient to trust related attacks.
Unveiling Penile Rhabdomyosarcoma

Stated purpose: Rhabdomyosarcomas are a heterogeneous group of malignant tumors representing the most common soft tissue sarcoma in lower genitourinary tract mostly occurs in infants and children in the first 2 decades of life. It is a rare and potentially deadly malignant mesenchymal neoplasia mainly originating from immature striated muscle. Rhabdomyosarcoma cells tend to appear rod-shaped, having an identifiable striated muscular differentiation with rhabdomyoblasts cells. Clinical guidelines and treatment of these tumors are very difficult because rhabdomyosarcomas behave extremely different and requires an early diagnosis and therapeutic modalities involving surgery, chemotherapy and radiation therapy. Material & Methods: In the present study, the authors report a rare case of Grade-II Penile Rhabdomyosarcoma diagnosed in a 2-year male child and have explored the histopathological literature and treatment options for this rare entity. Conclusion: We summarized the results from the available data to the published findings which have recently reported for the proven case of grade-II rhabdomyosarcoma of the penis with treatment options for this rare entity. Considering the limited number of cases reported till now, the conclusions about treatment and prognosis are equivocal. Finally the authors concluded that penile sarcomas are rare tumors with poor prognosis when they involve deep-seated lesions.
Establishing Goals and Maintaining Coherence in Multiparty Computer-Mediated Communication

Communicating via text-only computer-mediated communication (CMC) channels is associated with a number of issues that would impair users in achieving dialogue coherence and goals. It has been suggested that humans have devised novel adaptive strategies to deal with those issues. However, it could be that humans rely on “classic” coherence devices too. In this study, we investigate whether relevancy markers, a subset of discourse markers, are relied on to assess dialogue coherence and goals. The results of two experiments showed that participants oriented systematically on the relevancy markers and that substitution of the original markers for other (dis)similar words affected eye movements and task performance. It appears that, despite the loosely connected dialogue contributions, the multiple concurrent dialogues, and the multiparty nature of text-only CMC dialogues, humans are able still to locate coherence- and goal-related information by relying on the presence of the relevancy markers.
Two-Handed Image Navigation in Fran

The idea of image navigation is to allow a user to explore a complex image such as a map, moving smoothly between different locations, scales, and orientations. Single-handed input (e.g., with a single mouse) requires the user to change “input modes”, interrupting the flow of the user’s main task. Two-handed input eliminates the need for conscious mode changes, freeing the user to concentrate on the navigation task. The implementation described in this paper is written in Haskell, using the Fran interactive animation library. While the C++ program that inspired this exercise is quite long and complex, the Fran version is short, modular and we feel captures the essence of the behavior being modeled.
R, G, B acquisition interface with line-locked clock generator for flat panel display

This paper presents the analysis, design, and experimental results of a triple 8-bit, 80 Msamples/s analog-to-digital acquisition channel with gain and clamp controls, together with a sample clock regenerator. While today's liquid crystal display (LCD) driver systems require some ten analog integrated circuits, this single chip offers three 7.4 effective bit 300 MHz bandwidth acquisition channels, sampled by a 250 ps rms long-term jitter regenerated clock. This new level of integration and performances is reached through the implementation of a new clock regenerator architecture. The integrated circuit, available in a 100-pin plastic package, is realized in a 13 GHz, 1 /spl mu/m BiCMOS process and measures 25 mm/sup 2/. It dissipates 1 W from 5 V supplies.
Reconfigurable flight control via multiple model adaptive control methods

A multiple model adaptive control (MMAC) algorithm with seven elemental command generator tracker proportional-plus-integral Kalman filter controllers (designed for an aircraft functioning correctly, for one of three failed sensors, or for one of three failed actuators) demonstrates consistently effective reconfiguration capabilities when subjected to hard and soft failures of sensors or actuators. Performance can be enhanced considerably by use of maximum a posteriori versus Bayesian form of the MMAC (or a modified combination of both), alternate commutation of the MMAC hypothesis probabilities, and reduction of identification ambiguities through scalar residual monitoring. This latter additional voting technique provides unequivocal declarations that a particular sensor has or has not failed, and it may be used to supplant the MMAC methodology for sensor failures. <<ETX>>
Shapley Value Based Attribute Selection for Configurators

Configurators have been generally accepted as important tools to interact with customers and elicit their requirements in the form of tangible product specification. These interactions, commonly called product configuring process, aim to find the best match between customers’ requirements and company’s offerings. Therefore an efficient configurator should take both product structure and customers’ preferences into consideration. In this paper, we present a novel iterative method of attributes selection for product configuring procedure. The algorithm is based on Shapley value, a concept used in game theory to estimate the usefulness of certain entities. It iteratively selects the most relevant attribute from the remaining attributes pool and proposes it for customers to configure. Thus it obtains customers’ specification in an adaptive manner in the sense that different customers may have different query sequences. Information content is used as the measure of usefulness. As a result, the most uncertainty can be eliminated and product development team has a better understanding of what customers want in a fix time horizon. Maximum a posteriori criterion is also exploited to give product recommendation based on the partially configured product configuration. Thus the customized 1-to-1 configuring procedure is presented and the recommendation can converge to a customer’s target with fewer interactions between the customers and designers. We also use a case of PC configurator to exemplify and test the viability of the presented method.Copyright © 2009 by ASME
Study on Similar Case Determination of Personalized Recommendation System

The quality of the recommended results will depend on the determination policy of the case similarity, case retrieval policy and personalized recommended policy based on case reasoning. The case similarity determination strategy is one of the important link to design the personalized recommendation system. This paper studies the case similarity determination method of the personalized recommendation system based-CBR . And the similar determination method based on similar case characteristic vector are discussed and the relevant algorithm is given.
Directions in multiprocessor verification

IBM server products, mainframes and RISC engines, have witnessed an evolution in verification techniques. Costly special-purpose engines and blunt attempts to force operating system initial program load's (IPL's) in simulation have given way to the idea of more complete, lower level simulation with smart testcase generation algorithms. The idea is to explore the state space of the smaller piece of logic more fully before integrating if into its larger residence. This form of divide and conquer is being used in IBM's Austin facility. Shared-Memory Multiprocessor (SMP) verification represents a special case of verification for an entire computer system. Many of its constraints are common with other parts of the system. This paper examines verification from a historical perspective, explores some of the ways of using existing hardware resources without additional capital investment and highlights how IBM's Austin facility addresses SMP simulation. <<ETX>>
Distributed multiple target tracking and data association in ad hoc sensor networks

W e introduce an eficient distributed algorithm for tracking multiple targets in an ad hoc sensor network. The key idea is to explicitly model an intermediate representation, which we refer to as individual track contributions, so that the effect of measurements observed by a node of the sensor network can be incorporated locally. f irthermore, since targets affect the observations of a local neighborhood of sensor nodes, communications are limited to local regions around currently known targets. A particularly important problem in multiple target tracking is the problem of data association. Since a sensor network is capable of measuring heterogeneous data, we divide the possible resolutions of ambiguity in data association into three categories. Discriminatory infomation is: (1) immediately available to resolve the ambiguity in data association, (2) delayed to resolve the ambiguity, and (3) unavailable. In this paper, we demonstrate the incorporation of target identity information when discriminatory information is available and a factored representation of tracks when discriminatory information is unavailable. W e build eficiency into the tracking algorithm by triggering the extraction of discriminatory information and triggering the use of such information during tracking only when it is deemed necessary.
Application research of the synthetic image segmentation algorithm on the multi-lens video logging

Current video logging system adopts a method by placing camera on the bottom of well to acquire the clear bottom hole image, but which can not obtain the clear image because the lens is placed along the hole axis direction.The Multi-lens video logging system which presented by the paper authors obtains image by means of placing multi grin lens along the radius, and only one along the axial. This paper presents an integerated image segmentation algorithm, which can extract useful image information of curtain angle and well depth, and make prepareation for forming the video well logging information fusion map, and supply evidence for logging data interpretation. First, to obtain the approximate boundaries of the image for processing, analysis begins with the image using edge detection algorithms and Canny operator; then aiming at the specification of the image on the bottom hole is primarily a circular region, meanwhile the margin of it is so long, then search the circle edge ;dilation operation is applied to convert it to continuous data, and connect the data together, fill up the edge slot. The edge search function is used to obtain characteristic parameters of extracting image. Finally, using least squares fitting algorithm obtain the circle center and radius, and take the maximum one as the image radius.The standard net mesh is used to calibrate the image, which is acquired through the len of axial direction on the analog well logging device, the integrated image processing method described above is used to process the acquired image of oil well.
An ISAR imaging algorithm for multiple targets of different radial velocity

Inverse Synthetic Aperture Radar (ISAR) is a well-known technique for acquiring images of a moving target by using the synthetic aperture method. This radar improves the angle resolution based on the Doppler effect accompanying the relative motion with respect to the target, estimates the target motion from the echoes, and must compensate for the range migration during the observation and the fluctuations in the Doppler frequency. However, the problem faced when multiple targets, such as a formation of airplanes, are simultaneously observed is that the echoes of targets having slightly different motions interfere and degrade the estimation of the motion and the image resolution. Here, we propose an algorithm capable of separating the echo of each target, estimating the motion of each target, and compensating for the unwanted motion of each target based on the motion estimates even when multiple targets are simultaneously observed by utilizing the two-dimensional discrete Fourier transform. We conducted computer simulations and demonstrated the ability to generate the images from two target echoes and confirmed the effectiveness of the proposed method. © 2003 Wiley Periodicals, Inc. Electron Comm Jpn Pt 1, 86(7): 1–10, 2003; Published online in Wiley InterScience (www.interscience.wiley. com). DOI 10.1002/ecja.10090
Performance Models for Legacy System Migration and Multi-core Computers - an MVA Approach

Computer system architecture and design have witnessed continual change, with resulting challenges for performance modeling. In this thesis, we explore performance evaluation and modeling using queueing networks and Mean Value Analysis (MVA) approaches. We first investigate scenarios where legacy systems are migrated to newer platforms. We apply a novel MVA-based method PELE to address performance evaluation for the migrations. We extend the applicability of PELE with several case studies. Through the experiments, we demonstrate that the MVA algorithm is an efficient technique for computer system performance modeling. However, we find that it fails to address some features of multi-core platforms. To solve those problems, we present another MVA-based method APEM. In APEM, we propose an approximation to estimate service demands, and use a flow-equivalent aggregation technique to approximate non-product-form networks. To validate the application of our method, we investigate three case studies of a closed, an open and a semi-open system, respectively. We show that our method achieves better accuracy compared with other commonly used MVA algorithms. In addition, we propose an approximate MVA algorithm SMVA to address the numerical instability of MVA that we encountered in previous case studies. Future research may use SMVA as a starting point to continue improvement of numerically stable MVA algorithms. iv
Channel modeling of nondirected wireless infrared indoor diffuse link

This paper discusses the modeling and broadband design of an indoor infrared wireless communication channel consisting of a nondirected diffusion system. The property of the nondirected diffuse link is analyzed by the ray tracing technique and the modified Monte Carlo method. The physical parameters are directly related to the impulse response of the link and are modeled by a gamma probability density function. The impulse response model and a simulation indicate that it is effective for the broadband link to narrow the radiation angle of the optical source and to expand the receiver field of view to match the ceiling area of the room. © 2007 Wiley Periodicals, Inc. Electron Comm Jpn Pt 1, 90(6): 9–19, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ecja.20352
Study on the Multi-Tag Identification Anti-Collision Algorithm of RFID in Automobile Assembly Line

With the mass production and use of car, the social are also increasing the requirements the automotive industry development. More and more automobile manufacturers are hoping to establish an efficient identification system, so that management would be enhanced to improve the efficiency and reduce the error rate. What’s more, motor-dom has been the important application field of RFID technique. In this paper, the paper is to carry out a detailed analysis of technology and research for RFID anti-collision system to guide manufacturers to improve the efficiency of RFID systems in the automotive assembly line and to solve the problem of collision multi-tag identification.
EXTRACTING SEMANTIC CLUSTERS FROM MRDs FOR AN ONOMASIOLOGICAL SEARCH DICTIONARY

The ideal onomasiological dictionary should allow users to search for a word by introducing the knowledge they already have about a concept. Such an onomasiological search relies crucially on indexed information about lexical paradigms or clusters in order to expand the query in the search for the word.This paper describes a semantic clustering method applied to machine-readable dictionaries (MRDs) in order to construct an onomasiological dictionary to find terms from concepts. We first assess related approaches based on ontologies and statistics, before introducing our analogy-based approach that allows us to extract semantic clusters by aligning definitions from two dictionaries. Evaluation of the final set of clusters for a small set of definitions demonstrates the effectiveness of our approach
Design of human-interface for situation awareness

We discuss how a human-interface of a large complex system affects situation awareness. Through some experiments for controlling a simulated fluid circulation plant, we show that poor situation awareness is due to various factors, such as automation, mental models on the system, workload, human-interface design. We also show how we can improve the human-interface for aiding situation awareness.
Move3D: A generic platform for path planning

Reports on Move3D, a software platform dedicated to collision-free path planning. The algorithms are based on probabilistic approaches and take advantage of the progress of computer performance. The generality comes from a dedicated software architecture allowing a rapid design of path planners. The paper focuses on results obtained in logistics for industrial installations, in graphics animation and in mobile robotics as well.
Acquisition of Functional Categories in Early Spanish: Evidence for the Strong Continuity Hypothesis

This study examines empirical data from three monolingual Spanish-children and argues in favor of the strong continuity hypothesis and that the following functional categories are available in early Spanish grammar: agreement phrase (AgrP), tense phrase (TP), negation phrase (NegP), and complementizer phrase (CP). The distribution of the agreement paradigm suggests that the children in this study have knowledge of inflection very early in life, as they produce singular forms followed by plural forms. The data also reveal that children make present-past tense contrasts in early stages and pre-verbal negation is appropriately placed in early child utterances. Finally, the data provide empirical evidence that CP is available in early grammar, as seen in the movement of wh-elements and the production of true imperatives. The results from the Spanish data are discussed in light of other studies and support the view that functional structure is available throughout the course of first language acquisition.
Application of the Infrared Self-Learned Remote Controller in Smart Home

Based on the currently most wide-used ARM and ZIGBEE-based intelligent application control system, a infrared self-learned remote controller was designed. This paper introduces the software structure and hardware structure of Infrared self-learned remote controller design scheme and extraordinarily expands the main interface design of Infrared self-learned remote controller and the long-distance control approach based on WEBKIT technology. According to the test result, the Infrared self-learned remote controller designed in this paper is capable to achieve both network remote and centralized control of applications equipped with remote controllers.
Calibration method for an omnidirectional multicamera system

Telepresence systems using an omnidirectional image sensor enable us to experience remote site. A omnidirectional multi-camera system is more useful to acquire outdoor scenes than a monocular camera system, because the multi-camera system can easily capture high-resolution omnidirectional images. However, exact calibration of the camera system is necessary to virtualize the real world accurately. In this paper, we describe a geometric and photometric camera calibration and a panorama movie generation method for the omnidirectional multi-camera system. In the geometric calibration, intrinsic and extrinsic parameters of each camera are estimated using a calibration board and a laser measurement system called total station. In the photometric calibration, the limb darkening and color balances among the cameras are corrected. The result of the calibration is used in the panorama movie generation. In experiments, we have actually calibrated the multi-camera system and have generated spherical panorama movies by using the estimated camera parameters. A telepresence system was prototyped in order to confirm that the panorama movie can be used for telepresence well. In addition, we have evaluated the discontinuity in generated panoramic images.