Miracle-dz/UniFAR-FTUs huggingface dataset:
Implicit Simulation for Three-Dimensional Spatial Morphology of Geological Body Based on Marching Cubes Algorithm

Due to the discrete and incomplete sample data for the geological body in geological investigation, it is difficult to construct the three-dimensional model of geological body. Therefore, based on data interpolation, we propose a method to implement the three-dimensional implicit simulation for the geological body by programming with marching cubes algorithm. Firstly, the spatial interpolation method is used to predict the distribution trend of geological body and the three-dimensional spatial regular data field for the geological body is established. Secondly, the three-dimensional isosurface of geological body is extracted from discrete points by the marching cubes algorithm. Finally, combining with three-dimensional visualization technology of OpenGL, three-dimensional spatial morphology of geological body is simulated by tiny triangle approximation in computer graphics. Taken the borehole data in exploration engineering as example, this method is applied to develop the three-dimensional implicit simulation for ore body. The result of implicit simulation is close to the delineation of explicit simulation by human-computer interaction in three-dimensional geological modeling software. It shows that this method is feasible and efficient for the three-dimensional simulation of geological body.
User Model Clustering

User model which is the representation of information about user is the heart of adaptive systems. It helps adaptive systems to perform adaptation tasks. There are two kinds of adaptations: 1) Individual adaptation regarding to each user; 2) Group adaptation focusing on group of users. To support group adaptation, the basic problem which needs to be solved is how to create user groups. This relates to clustering techniques so as to cluster user models because a group is considered as a cluster of similar user models. In this paper we discuss two clustering algorithms: k-means and k-medoids and also propose dissimilarity measures and similarity measures which are applied into different structures (forms) of user models like vector, overlay, and Bayesian network.
Discovery Mechanism of PDP for PBNM in Mobile Ad hoc Networks

Policy-based Network Management (PBNM) in the Mobile Ad-hoc Networks (MANETs) requires additional reliable and efficient mechanism over PBNM in wired networks. Thus, it is important that the management system in MANETs should cluster the moving nodes and manage their movements in an effective manner. In this paper, we propose a mechanism for the policybased management in ad hoc networks in which we discuss methods to discover the Policy Decision Point (PDP), set the management area, and manage the movements of nodes in the PBNM system. Moreover, COPS-PR is extended for the mechanism. Finally, we discuss the results through simulations.
With Lexical Integrity

Muller and Wechsler (MW) contrast lexical (lexicalist) and phrasal (constructional) approaches and conclude that a lexical approach is to be preferred. They present a careful review of the arguments that have been presented for both positions, and they also introduce several new arguments for the lexicalist position. The target article is commendable in many respects, including its thoroughness. However, their representation of our position on Lexical Integrity and constructions is not accurate (Asudeh, Dalrymple, and Toivonen 2008, 2013),1 and they use too broad a brush in painting their picture of Germanic motion constructions; sections 2 and 3 below deal respectively with these issues.
Novel Sensitive Information Preserving Mining (SIPM) algorithm for association rule mining in centralized database

The recent advancement in data mining technology to analyze vast amount of data has played an important role in several areas of Business processing. Data mining also opens new threats to privacy and information security if not done or used properly. The main problem is that from non-sensitive data, one is able to infer sensitive information, including personal information, fact or even patterns which are generated by any algorithm of data mining. In order to focusing on privacy preserving association rule mining, the simplistic solution to address the problem of privacy is presented. The solution is to survey different aspects which are discussed in the several research papers and after analyzing those research papers conclude a new solution which is best in efficiency and performance. In this paper we propose a novel algorithm named Sensitive Information Preserving Mining (SIPM). The entire system architecture consists of three phases: 1) Check for Authentication. 2) Reading the database. 3) Perform Pruning. Our algorithm is a good way to apply data mining techniques with security that hides our logical instances from others.
The Mothra tool set (software testing)

Mothra is a software test environment that supports mutation-based testing of software systems. Mutation analysis is a powerful software testing technique that evaluates the adequacy of test data based on its ability to differentiate between the program under test and its mutants, where mutants are constructed by inserting single, simple errors into the program under test. This evaluation process also provides guidance in the creation of new test cases to provide more adequate testing. Mothra consists of a collection of individual tools, each of which implements a separate, independent function for the testing system. The initial Mothra tool set, for the most part, duplicates functionality existing in previous mutation analysis systems. Current efforts are concentrated on extending this basic tool set to include capabilities previously unavailable to the software testing community. The authors describe Mothra tool set and extensions planned for the future. <<ETX>>
A beautiful house built on sand. what makes e-communication Projects Succeed – and why are they still so rare?

Abstract Case studies of email and video conferencing projects between partners in educational institutions in England and France are presented as a means of identifying the key issues that lead to the success of such activities. The writers, all of whom have a long history of being involved in such projects with schoolchildren and teachers, then consider the continuing failure of most educational institutions to make appropriate use of such technologies and practices despite the growing evidence for their efficacy. They suggest that key issues to be addressed include access to technology, support for teachers, understanding of pedagogical potential and the structuring of projects.
Research on High-Level Semantic Image Retrieval

This paper presented the key problems to shorten “semantic gap” between low-level visual features and high-level semantic features to implement high-level semantic image retrieval. First, introduced ontology based semantic image description and semantic extraction methods based on machine learning. Then, illustrated image grammar on the high-level semantic image understanding and retrieval, and-or graph and context based methods of semantic image. Finally, we discussed the development directions and research emphases in this field.
Longitudinal and lateral adaptive flight control design for an unmanned helicopter with coaxial rotor and ducted fan

In this paper, Lyapunov-based adaptive attitude control and adaptive longitudinal displacement control methods are designed and implemented for a prototype unmanned helicopter with coaxial rotor and ducted fan configuration. The prototype has longitudinal and lateral symmetry with strong coupling between longitudinal and lateral channels and weak coupling between altitude-heading and longitudinal-lateral channels. Attitude and longitudinal reference models are designed with longitudinal and lateral channel properly decoupled. Real time near-ground flight test results show that longitudinal displacement tracking error is minimum, and the prototype achieves good performance in adaptive decoupling and tracking control as flight speed changes smoothly.
Using Velocity Control to Navigate 3D Graphical Environments: A Comarison of three Interfaces

Three velocity control interfaces to three dimensional virtual environments are compared. The interface devices are: a six degree of freedom position sensor, a six degree of freedom isometric joystick, and a conventional mouse in conjunction with a soft control panel displayed on the monitor. In each interface the devices are used to control velocity, and all make use of a quadratic function to map the input to the viewpoint velocity. We use two structured exploration tasks to assess the usability of the different interfaces. In the first task an interviewing technique is used in conjunction with an exploration task which involved examining widely spaced details of the 3D scene. The second task is designed to reveal how well users can interact at different scales using the different devices. Subjects are required to navigate through a tube which varies over four orders of magnitude in size. The results show that subject's behavior is highly constrained by the local size of the tube: they maintained a constant velocity relative to the local size of the tube. They also showed differences in the effectiveness of the different devices in determining traversal rate that the positioning device and the control panel were about equally effective for fast navigation, and both are better than the isometric joystick.
EFFECT OF XANTHAN GUM AND SODIUM CARBOXYMETYLCELLULOSE ON THE RHEOLOGICAL PROPERTIES AND ZETA POTENTIAL OF BENTONITE SUSPENSIONS

The use of anionic polyelectrolytes to control the stability and flocculation behavior of colloidal suspensions is of great technological importance. They are widely used in various industrial products, such as paints, coatings, ceramics, pesticides, pharmaceuticals, cosmetics, and drilling fluids, to modify the rheology and control the stability of systems. Experimental flow measurements, obtained by coaxial cylinder viscometer covering a wide range of shear rate (0 to 700 s -1 ), were used to highlight the effect of two anionic polyelectrolytes such as, xanthan gum and sodium carboxymethylcellulose (Na-CMC) on the rheological properties of the bentonite suspension. The rheological measurements of bentonite suspension, polyelectrolytes aqueous solutions, and mixture bentonitepolyelectrolytes are extensively investigated. Firstly, Herschel-Bulkley law was used for fitting flow curves of various samples of bentonite suspension whose the concentration in solid varies between 3-6 %, the regression coefficient > 0.997 for all studied system. The obtained results showed that the yield stress and the consistency index increase with increasing bentonite concentration, on the other hand, the flow index values decrease. To asses the influence of polyelectrolytes on bentonite suspension, the rheological tests have been carried out on the polyelectrolytes solutions in absence of bentonite. The rheological behavior of xanthan solutions is shear-thinning non-Newtonian viscosity with yield stress. The flow curves are also modeled by Herschel-Bulkley law, all flow curves have been fitted with a correlation coefficient > 0.99. We note that the yield stress (1.048-5.264 Pa) and the consistency index (0.06-0,67) rise with the increase in polymer concentration, By cons, the flow index (0,68-0,45) decreases slightly. It has been shown that the presence of carboxymethylcellulose in the bentonite suspension has helped to remove the yield stress and to increase the viscosity of the mixture. On the other hand, the xanthan induced an increase in the yield stress and a high increase in viscosity of the bentonitepolymer mixtures. The electrokinetic measurements show an increase of the zeta potential of CMC and xanthan dispersions when the concentration of polymer in solution increases. The values of zeta potential of mixture bentonite-polyelectrolyte are affected by the nature of polyelectrolyte. Keys words: CMC, Xanthan, rheology, zeta potential 23 ème Congrès Français de Mécanique Lille, 28 Août au 1 er Septembre 2017
A vehicular-mounted vertical space diversity antenna for a land mobile radio

A vertical space-diversity antenna has been developed in order to achieve a diversity scheme while maintaining the simple appearance of a trunk-lid antenna. It is shown that small correlation coefficients can be achieved by a separation of approximately 0.5 wavelengths. Differences in the upper and lower antenna radiation patterns are clarified as being caused by mutual coupling of these antennas, and an incoming wave spread of more than 20 degrees is the main reason for reduction of the correlation coefficients. Field tests in the Tokyo metropolitan area have indicated that adequate correlation coefficients and an adequate received signal level can be achieved. Moreover, calculation estimations are confirmed by the experimental results. >
Robust fragments-based tracking with adaptive feature selection

Representing an object with multiple image fragments or patches for target tracking in a video has proved to be able to maintain the spatial information. The major challenges in visual tracking are effectiveness and robustness. We propose a robust fragments-based tracking algorithm with adaptive feature selection. The best discriminate feature is used for tracking, which can improve tracking effectiveness. A set of likelihood images corresponding to the most discriminative features are fused to divide the object into some fragments, which can maintain the spatial information. By weighting the fragment and background colors, more robust target and candidate models are built. Given these advantages, the novel tracking algorithm can provide more accurate performance and can be directly extended to a multiple object-tracking system.
Malware Behavior Analysis Technique Based on Approach to Sensitive Behavior Functions

Currently, the malware behavior analysis technique spends a lot of time to generate test data. To improve it, this paper proposes a method of malware behavior analysis based on approach to sensitive behavior function. And the techniques of sensitive behavior function identification, sensitive path search and approaching sensitive behavior function are discussed in this paper. This method detects and analyzes the malware behavior by combining the concrete execution and symbolic execution together. It shows that this method can improve the efficiency of malware behavior detection by comparing it with fuzz and full path traversing technique.
Efficient Moving Target Tracking Algorithm: Design and Implementation of the Sand-Table Tracking Algorithm

Working on the design of a new algorithm :sand_table algorithm.The algorithm could work well in recognizing and tracking an single moving target shot by camera or in a video . The algorithm works simple with low operation cost.May used in tracking different object of many kinds.The algorithm imitate the the process of falling sands to Greatly enhance the tracking ability and tracking accuracy.
Enhanced Approaches for Processing Window Queries in Dynamic Wireless Sensor Networks

Due to the proliferation of low cost wireless sensors, there is growing research interest in their applications, for example, in home healthcare and location tracking. However, due to sensors’ energy resource constraint, some possible applications of sensors have been restricted. In particular, in applications concerning deployment of mobile sensors in dynamic environments, high amounts of energy are consumed by sensors to maintain routing tables. Although existing methods have been proposed to query data from sensors without the use of any routing tables, these methods typically require redundant data to be sent back to the sink and not all of the aggregation functions could be executed precisely. In this paper, we modify an existing method to provide more accurate query answers and extend the lifetime of a wireless sensor network (WSN). According to our simulation, this method outperforms the existing method our approach modifies.
Effect of biochar and zeolite on the ammonia production of poultry litter.

High amount of chicken manure (11.600 t/year) is produced in the five chicken farm of examined company (Gastor Baromfi Ltd.) because of deep litter breeding technology of broiler chicken. The triticale straw is the main bedding material. Presently the manure is composted, but it is required store in a larger storage place by a project of capacity-building. Otherwise the retention time of the process is cannot be guaranteed and high ammonium content is measured under the process in closed system compost pile and in the storage place area. The aim of the research was to reduce ammonia emission during pre-treatment process of chicken litter in open and closed conditions by added zeolite and biochar as additives. The main aim was to determine the effectiveness of the different type and amount of additives on the reduction of ammonia emission. The experiments were set up in pilot plant scale in the composting area of Institute of Waterand Environmental Management. Under the pre-treatment process we examined the dry-, organic material content, temperature, particle size, pH value, NaCl-content, electric conductivity, gas components, nutrientand toxic element content of chicken litter. Based on our results that the additives (zeolite/biochar) mixing of stored manure has significantly reduced the amount of produced ammonia and the applying in larger ratio (5, 10%) increased the ammonia reduction and the degradation rate of organic materials.
Search for effective document security by inventioneering

This paper deals with the creative search for security devices that thwart criminals, in particular forgers, that attack banking instruments. Because this activity requires an innovative mind, knowledge of engineering and a sense of pioneering, it is coined 'inventioneering. ' Some fully new solutions and practical examples are discussed: carbon-based ink number in cheques, perforated number in cards and cheques, diffractive personalization of OVDs, protecting the toner of laser printers against alteration, and micro laser engraving.
BW-FILERAID: A Kind of File Based Distributed RAID System and Optimization

In the ever-increasing development of network storage technology, distributed RAID has been a hot topic for data reliability and availability. To solve the problem of distributed RAID technology, such as: parallel access difficulty, long rebuild time, small write update and strip alignment problem, we design and implement file level distributed RAID system (BW-FILERAID) based on Blue Whale File System (BWFS). Also we do the research on resource allocation strategy, page cache management with parity data, consistence maintenance, online extension of RAID group, error detect and rebuild and small write optimization in BW-FILERAID. According to the testing results, the writing performance of BW-FILERAID is better than Linux soft RAID about 5%~50%, and the reading performance is equivalent to the RAID0. And it also has excellent extensibility.
Multiscale simulation of soft matter systems – from the atomistic to the coarse-grained level and back

Many physical phenomena and properties of soft matter systems such as synthetic or biological materials are governed by interactions and processes on a wide range of length- and time-scales. Computer simulation approaches that are targeted at questions in these systems require models which cover these scales and the respective levels of resolution. Multiscale simulation methods combine and systematically link several simulation hierarchies so that they can address phenomena at multiple levels of resolution. In order to reach the mesoscopic time- and length-scales important for many material properties, methods that bridge from the atomistic (microscopic) to a coarser (mesocopic) level are developed. Here, we review coarse-grained simulation models that are linked to a higher resolution atomistic description. In particular, we focus on structure-based coarse-graining methods which are used for a variety of soft matter problems – ranging from structure-formation in amorphous polymers to biomolecular aggregation. It is shown that by coarse-grained simulation in combination with an efficient backmapping methodology one can obtain well-equilibrated long time- and large length-scale atomistic structures of polymeric melts or biomolecular aggregates which can be used for comparison to experimental data. Methodological aspects are addressed such as the question of the time-scales and dynamics in the different simulation hierarchies and an outlook to future challenges in the area of resolution exchange approaches and adaptive resolution models is presented.
A Self Motion and Rotation Video Nodes Coverage Algorithm

This paper presents a self motion and rotation video nodes coverage algorithm. Through software simulation and calculation, building hardware experiment platform, the block field and the overlapped field avoid experiments, It shows that the algorithm can makes the node identify and avoid the block field itself, avoid block and towards the angle of rotation, and reduce the neighbor node area of the overlapped field, and obtain better coverage rate and monitoring results. It enhanced the underlying control techniques for the wireless sensor networks and self-organizing ability, so as to make the wireless sensor network more suitable for the battlefield environment.
Influence of Pattern Acquisition Way on Individual’s Pattern Recognition in Solving Different Kinds of Mathematical Problems

The factors (Pattern Acquisition Way, Problem Type and Pattern Quality) in solving different kinds of mathematical problems were studied. It was found that acquisition way and problem type significantly influence pattern recognition, and their interaction influences pattern recognition significantly. Acquisition way significantly influences pattern quality, which significantly influences pattern recognition. Keywords-Pattern Acquisition Way; Pattern Recognition; Problem Types
Energy Efficient Fitness Based Routing Protocol for Underwater Sensor Network

Underwater sensor network is one of the potential research arenas that opens the window of pleasing a lot of researcher in studying the field. Network layer of the underwater sensor networks must be one of the most attractive fields to build up anew protocol. In this paper, we proposed a underwater sensor network routing protocol named Energy Efficient Fitness based routing protocol for under water sensor networks (EEF) that promises the best use of total energy consumptions. The proposed routing protocol takes into account residual energy, depth and distance from the forwarding node to the sink node to guide a packet from source to the destination node. The prominent advantages of the proposed protocol are to confirm higher network life time and less end to end delay. The proposed protocol does not use control packet that causes much energy consumption and end to end delay. Simulation has been performed to certify the better result of the proposed routing protocol.