Miracle-dz/UniFAR-FTUs huggingface dataset:
Location estimation using a broadband electromagnetic induction array

A broadband quadrapole electromagnetic induction (EMI) array with one transmitter and three receiver coils is built for detecting buried metallic targets. In this paper, it is shown that the locations of multiple metallic targets including their depth and cross-range position can be estimated accurately with the EMI array using an orthogonal matching pursuit (OMP) approach. Conventional OMP approaches use measurement dictionaries generated for each possible target space point which results in huge dictionaries for the 3D location problem. This paper exploits the inherent shifting properties of the scanning system to reduce the size of the dictionary used in OMP and to lower the computation cost for possibly a real-time EMI location estimation system. The method is tested on both simulated and experimental data collected over metal spheres at different depths and accurate location estimates were obtained. This method allows EMI to be used as a pre-screener and results in valuable location estimates that could be used by a multi-modal GPR or other sensor for enhanced operation.
Growth of Boronic Acid Based Two‐Dimensional Covalent Networks on a Metal Surface under Ultrahigh Vacuum

The formation of atomically precise covalent networks directly on a surface is a promising approach to produce single layers of two-dimensional organic materials (2D polymers). In the emerging field of on-surface synthesis, there is an urgent need for finding a rationale to new reaction pathways taking place directly on the surface. In this feature article we review and put into perspective recent results on the surface polymerisation of boronic acid based systems under ultrahigh vacuum conditions studied by scanning tunnelling microscopy. By presenting several approaches to control the growth of covalent networks, we aim at providing a comprehensive overview of the complex mechanisms involved.
Architecture of stability routing protocols in ad hoc wireless networks

Ad hoc wireless networking is a new approach for wireless communication with its potential applications in very unpredictable and dynamic environments. These networks have no infrastructures for achieving end-to-end routing of packets in the network. The Nodes communicate between each other without the intervention of centralized administration, thus each node acts both as a router and as a host. In this paper, we present a new routing protocol for ad hoc wireless networks based on enhancing the heading direction angle routing protocol in order to provide stability to the network and the guaranteed availability of a selected route path.
Large-scale Research and the Goal of Health: Doable Problem Construction in 'New' Nutrition Science

Abstract Contemporary science can be characterized by large-scale multi-sited interdisciplinary co-operation. This kind of co-operation is thought necessary for solving complex scientific problems and, by doing so, to reach the social and normative goals of science, for instance, the promotion of public health. In this paper, we present an analysis of a large-scale multi-sited scientific practice questioning the latter assumption. Do the strategies to solve scientific problems indeed contribute to the normative goals of large-scale science? To be able to analyse problem solving in multi-sited scientific practice, first we introduce the concept of doability, and we amend this notion to make it suited for multi-sited research practices. Second, we will demonstrate the fruitfulness of this conceptual frame by presenting an analysis of the field of nutrigenomics, in which large-scale research is organized to contribute to 'health for all'. Third and finally, we will show that the strategies to make research problems in the large-scale multi-sited research practice of nutrigenomics doable do not necessarily contribute to a public health aim. In fact, making the study of nutrigenomic problems doable implies that the goal of health has to be fragmented into many distinct norms for health.
Uso de ontologías para la mejora de resultados de motores de búsqueda web

With the increasing number of web sites, the time spent by users reviewing the results also increases. In addition, the nature of web content is semantically heterogeneous and oriented to people who will be able to understand it. Frequently the results from search engines do not correspond to the expected topic. One approach to improve the results is to match the content of the web pages with a formal vocabulary on the topic (ontology) and with the informal vocabulary (common terms of the topic but not in the ontology). This paper describes a web search method that takes advantage of ontologies to reduce the search area of certain topics. With this approach the relevance of search engine results is enhanced by filtering the content through the integration of domain ontologies, the WordNet thesaurus, and a hierarchical similarity measure. Thus, the improvement on the relevance of results reduces the time required to review such results.
Data structure and non-linear effects in adaptive filters

The nonlinear effects that have been observed in adaptive filtering scenarios are explained from the point of view of the structure that underlies the desired data. While the model structure used by the conventional adaptive filter is a linear combination of tapped-delay line signals, that adaptive filter model does not generally correspond to the structure that best describes the desired data one is adapting to. The nonlinear effects in adaptive noise canceling, interference contaminated adaptive equalization, and adaptive linear prediction are explained here as being the result of forcing a filter model onto an essentially different data structure. The tapped delay line model can then only be compatible with the data if the filter weights become time-varying. If the adaptation captures the time-varying weight behavior, the adaptive filter performance can approach that associated with the data structure and thereby exceed the best performance associated with the corresponding conventional Wiener filter.
On-chip wiring design challenges for gigahertz operation

This paper reviews the status of present day on-chip wiring design methodologies and understanding. A brief explanation is given of the fundamental transmission-line properties that should be considered for accurate prediction of crosstalk, common-mode noise and clock skew. The deficiencies of RC-circuit representation are highlighted and design guidelines are given for using modeling and simulation techniques that have been previously used for package interconnections. Such techniques are believed to teach designers how to make better use of available technologies and help them architect systems that operate with many-GHz clock rates.
Association Rule Mining in Drought Data with Special Reference to Bhopal District

Association rule mining was first introduced By Agarwalet al ([1], 1993; [3], 2000) which is the most important and well researched techniques ofdata mining, The Aimsof ARM to extract interesting correlations,repeated patterns, associations among sets of items in the transactiondatabases. Association rules are widely used in variousareas such as market,telecommunication networks,inventorycontrol and risk management etc. this paper leads the implementation of Apriori algorithm under the association rule mining technique of Data mining with using drought data. This algorithm is implemented with the help of Tangra([8], 2005) Data mining software.
Sentiment Prediction Based on Dempster-Shafer Theory of Evidence

Sentiment prediction techniques are often used to assign numerical scores to free-text format reviews written by people in online review websites. In order to exploit the fine-grained structural information of textual content, a review may be considered as a collection of sentences, each with its own sentiment orientation and score. In this manner, a score aggregation method is needed to combine sentence-level scores into an overall review rating. While recent work has concentrated on designing effective sentence-level prediction methods, there remains the problem of finding efficient algorithms for score aggregation. In this study, we investigate different aggregation methods, as well as the cases in which they perform poorly. According to the analysis of existing methods, we propose a new score aggregation method based on the Dempster-Shafer theory of evidence. In the proposed method, we first detect the polarity of reviews using a machine learning approach and then, consider sentence scores as evidence for the overall review rating. The results from two public social web datasets show the higher performance of our method in comparison with existing score aggregation methods and state-of-the-art machine learning approaches.
Pass band and high frequency robustness for PID control

A procedure for fair comparison between different control structures and design parameters is suggested. Low, high and mid-frequency properties are then treated separately in the evaluation of closed loop performance and robustness. By this separation it is possible to investigate, for example, the trade-off between low frequency performance and high frequency robustness, while pass band robustness (stability margins) is kept constant. More specifically we consider tuning of PID controllers, and find as a result of our design and evaluation procedure that low frequency performance and closed loop bandwidth can be improved significantly, without losing high frequency robustness and mid-frequency stability margins. The key is to choose some parameters of a standard PID controller in a somewhat unconventional way.
An Ontology-Based Framework for Ergonomics Knowledge Classification and Representation

Ergonomics applications is now a highlight spot in various fields. To tackle the problem of unsustainable accumulation of ergonomics knowledge, the representation of ergonomics knowledge is of great importance for the ergonomics experts system to be developed. Based on the appropriate ontology technology, the general knowledge of ergonomics is reclassified to the man-machine-environment. By adopting the top-down method and Protégé, an ontology-based ergonomic framework is conducted to the ergonomics knowledge classification and representation.
Estella; a facility for specifying behavioral constraint assertions in real-time rule-based systems

The authors have developed a powerful and efficient analysis methodology for a large class of rule-based EQL programs to determine whether a program in this class has bounded response time. In particular, the authors identified several sets of general behavioral constraint assertions: an EQL program which satisfies all constraints in one of these sets of assertions is guaranteed to have bounded response time. The authors enhance the applicability of this analysis technique by introducing a facility for the rule-based programmer to specify application-specific knowledge in the language Estella to validate the performance of an even wider range of programs. This facility can be viewed as a computer-aided software engineering tool for aiding the rapid prototyping and development of expert systems with guaranteed response time. <<ETX>>
An assignment based distributed resource manager

The goal of this paper is to demonstrate the coordination in real-time of the operation of multiple sensors in such a way that those best-equipped for certain missions should perform those missions for the entire network, while other sensors fill in the gaps with their capabilities. The networked system of sensors must search, detect, track, classify, and engage targets of high value in a timely fashion. The information transmitted should be that which contributes the most toward achieving the performance goals (e.g., track accuracy, track completeness, and a consistent operational picture or single integrated air picture (SIAP)) subject to the network bandwidth constraints and the capabilities of the sensors. We present an overview of an assignment based sensor resource manager, a distributed algorithm for coordinating the assignment problem, and simulation results that validate this approach. While the assignment formulation and algorithms could include both sensor resource and bandwidth constraints with versions for single and multiple time periods, i.e., myopic and non-myopic, the distributed prototype formulation and algorithms developed for these experiments were restricted to the tasking of certain sensors to make measurements and transmit them over the network based on the current air picture. The number of measurements put on the network was controlled by limiting the number of sensors that could transmit measurements on each target. The communication loading was then measured to demonstrate that indeed one can design a distributed sensor resource manager capable of achieving the objectives of significantly reducing the communication loading and maintaining SIAP.
Use of VHDL synthesis in an advanced digital design course

A very-high-speed integrated-circuit hardware description language (VHDL) synthesis tool from Viewlogic is being used in an advanced digital design course. The tool has the capability of synthesizing sequential elements (flip-flops) as well as combinational logic. The tool gives students the capability of practicing a true top-down design methodology. Synthesis implementation targets used were the ITD standard cell library (Oct-tools), the Xilinx field programmable gate array (FPGA), the Actel FPGA, and the Altera FPGA. The addition of the Viewlogic VHDL simulation/synthesis tool and the FPGA mapping software has significantly enhanced the advanced digital design course. It allows students to evaluate tradeoffs between standard cell, Xilinx, Altera, and Actel implementations. <<ETX>>
Performance Analysis of Joint Call Admission Control(JCAC) According to Resource Reservation Rate Changes in LTE-WLAN Heterogeneous Network Environment

In this paper, we analyze and propose the Joint Call Admission Control(JCAC) scheme to combine network selection scheme and radio resource reservation based Call Admission Control(CAC) in LTE-WLAN heterogeneous networks. First, We propose the JCAC system that uses network decision rate to select a network for terminal and radio resource reservation scheme in overlaying LTE-WLAN network environment. And we analyze the performance of a proposed system using markov chain model. The performance is presented in terms of the new call blocking probability, handoff call dropping probability, and channel utilization of each network. As a performance result of the our research, the system using JCAC is better than the system using non-JCAC. We found a suitable resource reservation rate that is 10% in the system using JCAC. Our work may be useful as a guideline of resource reservation rate to introduce JCAC system using resource reservation scheme in overlaying LTE-WLAN network environment.
Some Research on the Fusion of Virtual Scene and Video Image

Fusing three-dimensional virtual scene and video image into a perfect whole, is a key technology in augmented reality, which includes a number of problems need to be resolved. This paper makes some researches on the occlusion and consistent illumination between virtual and real objects. About occlusion, an approach for realizing multilayer occlusion is presented. A special scene graph tree is designed comprised of some special nodes, namely EMO nodes. According to the location of real moving object, different EMO node will be activated in real-time, consequently realizing the multilayer occlusion. About consistent illumination, two spheres with Lambert surface are introduced in the real scene. Through image analysis and analytical geometry of three dimensions, the illumination parameters of the real scene are estimated automatically. These parameters describe a point light source and ambient light. Using the estimated illumination parameters, the synthetic scene is relighted through inserting proper virtual light sources in the scene graph tree. This work explores a post-illumination-processing and image-based approach to rapidly improve illumination consistency in augmented reality.
Infrared image segmentation using HOG feature and kernel extreme learning machine

Image segmentation is an important application in computer vision. Nowadays, image segmentation of infrared image has not gain as much attention as image segmentation of visible light image. But this application is very useful. For example, searching and tracking targets with infrared search and track system (IRST) has been widely used these days due to its special passive mode. So it can be used as a kind of supplementary equipment for radar. Infrared image segmentation can help computers identify backgrounds of the image, and help it automatically adjust the related parameters for the next work, such as targets recognition or targets detection. Our work proposed a new image segmentation method for infrared image using histogram of oriented gradients (HOG) feature and kernel extreme learning machine (kernel ELM). HOG are feature descriptors which can be used in computer vision and image processing for the purpose of object detection. In this paper, we extract HOG feature of infrared image, and use this feature as the basis for classification. After having feature, we use kernel extreme learning machine to do the segmentation. Kernel extreme learning machine has shown many excellent characteristics in classification. By testing our algorithm proposed in our paper, we demonstrated that our algorithm is effective and feasible.
Dual Resource Constrained Job Shop Scheduling Based on Compressed Time Window

To solve the double-objective Dual Resource Constrained Job-Shop Scheduling Problem with heterogeneous workers (DRCJSP-HW), a scheduling strategy based on compressed time window is proposed which compress and move up task time window to optimize global scheduling performance index at the expense of sacrificing scheduling performance of partial tasks. Against the limited ability of searching global optimum solution of Ant Colony algorithm and the slow convergence of genetic algorithm when solving double objective scheduling problem, the PBGA which inherit evolution experience of parent chromosome population with pheromone is designed. At last, simulation results demonstrate not only the satisfying optimization result of the scheduling strategy based on compressed time window but also the validity of the PBGA used for solving DRCJSP-HW.
A common approach to characterizing autostereoscopic and polarization‐based 3‐D displays

Abstract— Autostereoscopic and polarization‐based stereoscopic 3‐D displays recreate 3‐D images by providing different images in the two eyes of an observer. This aim is achieved differently for these two families of 3‐D displays. It is shown that viewing‐angle measurements can be applied to characterize both types of displays. Viewing‐angle luminance measurements are made at different locations on the display surface for each view emitted by the display. For autostereoscopic displays, a Fourier‐optics instrument with an ultra‐high‐angular‐resolution VCMaster3D is used. For polarization‐based displays, a standard Fourier‐optics instrument with additional glass filters is used. Then, what will be seen by an observer in front of the display is computed. Monocular and binocular quality criteria (left‐ and right‐eye contrast, 3‐D contrast) was used to quantify the ability to perceive depth for any observer position. Qualified monocular and binocular viewing spaces (QMVS and QBVS) are deduced. Precise 3‐D characteristics are derived such as maximum 3‐D contrast, optical viewing freedom in each direction, color shifts, and standard contrast. A quantitative comparison between displays of all types becomes possible.
Sliding mode compensation of dry friction

This paper presents a sliding mode position controller for ultra-precision machining. Simulation results show the effectiveness of both continuous and discrete time sliding mode controllers. The friction model is Coulomb friction with a stick-slip effect and it is accurately simulated using a state event handler. The results suggest that this technique will allow ultra-precision machining with positioning errors of 5 percent and motions on the order of micrometers. All parameters that were used in the simulations are based on previously published experimental results.
Examination of the dual‐band microwave wireless access system using radio on fiber technique

The Radio on Fiber (ROF) technique has great potential in wireless communication systems. In this paper, we report on a fundamental examination of microwave wireless access systems based on Radio on Fiber. First, we designed and constructed examination systems by applying dual band (2.4 and 5 GHz) multiservice transmission systems and confirmed that there was sufficient performance through a transmission experiment. Then, application of FP‐LD (Fabry Perot Laser Diode) was considered in order to reduce the system cost, and for the most part degradation of the transmission characteristics was not observed when FP‐LD was used. Finally, a BIDI (bidirectional) module which integrated LD and PD within one package was made to further reduce costs. By measuring the transmission performance, applying the BIDI module to ROF systems was shown to be effective. © 2007 Wiley Periodicals, Inc. Electr Eng Jpn, 160(4): 32–40, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/eej.20471
Performance Comparison of Several Pre-Processing Methods in a Hand Gesture Recognition System based on Nearest Neighbor for Different Background Conditions

This paper presents a performance analysis and comparison of several pre-processing methods used in a hand gesture recognition system. The preprocessing methods are based on the combinations ofseveral image processing operations, namely edge detection, low pass filtering, histogram equalization, thresholding and desaturation. The hand gesture recognition system is designed to classify an input image into one of six possibleclasses. The input images are taken with various background conditions. Our experiments showed that the best result is achieved when the pre-processing method consists of only a desaturation operation, achieving a classification accuracy of up to 83.15%.
5.2.1 Architecting Ontological Systems

Recent emerging technologies such as internetworking and the World Wide Web have significantly expanded the types, availability, and the volume of data accessible to information management systems. In this new world, there is less emphasis on isolated devices and greater emphasis on information exchange. This shift is making knowledge management and application integration key issues in computer technology. In order to stay competitive, a company is held hostage by how it understands, maintains and accesses its data. Data comes from many sources, containing a variety of types and formats. One possible way to tackle this complex data problem is to implement an ontology, a unifying framework that facilitates communication through a shared understanding and vocabulary of a system. It enables communication between systems that are independent of system technologies, information architectures and application domain. This paper describes the importance of ontologies in knowledge management and provides the basis on how to architect such an ontological system.
Distortion analysis of MOSFETS for application in MOSFET-C circuits

The aim of this paper is to provide some guidelines on the design of MOS V-I converters. An explicit formula for the harmonic distortion based on an analytic model of the MOSFET has been derived for any inversion level. Experimental results for the distortion in the MOSFET V-I characteristics as well as biasing and tuning strategies applied to MOSFET-C filters are presented.