Miracle-dz/UniFAR-FTUs huggingface dataset:
Automatic Threat Assessment of Malware Based on Behavior Analysis

Automatic analysis of malware is a hot topic in recent years. While many methods were proposed it was still a challenge for automatic identification of malware. For example, scoring was commonly used to indicate threat scale of samples, but this metric was given by manual processing in most case. In this paper, a method to automatically generate the score of analyzed sample was proposed. Combine this method and practical problem, we tested up to 639 samples and got a correctness of 97.3%. Experimental result showed that this method could correctly indicate the threat scale of samples. The results of this paper can also offer some tips for manual analysis.
A Web Page Summarization for Mobile Phones

Recently, web pages for mobile devices are widely spread on the Internet and a lot of people can access web pages through search engines by mobile devices as well as personal computers. A summary of a retrieved web page is important because the people judge whether or not the page would be relevant to their information need according to the summary. In particular, the summary must be not only compact but also grammatical and meaningful when the users retrieve information using a mobile phone with a small screen. Most search engines seem to produce a snippet based on the keyword-in-context (KWIC) method. However, this simple method could not generate a refined summary suitable for mobile phones because of low grammaticality and content overlap with the page title. We propose a more suitable method to generate a snippet for mobile devices using sentence extraction and sentence compression methods. First, sentences are biased based on whether they include the query terms from the users or words that are relevant to the queries, as well as whether they do not overlap with the page title based on maximal marginal relevance (MMR). Second, the selected sentences are compressed based on their phrase coverage, which is measured by the scores of words, and their phrase connection probability measured based on the language model, according to the dependency structure converted from the sentence. The experimental results reveal the proposed method outperformed the KWIC method in terms of relevance judgment, grammaticality, non-redundancy and content coverage.
Reverse Engineering of Pilot Wheel Vane

The pilot wheel vane is one of important parts of hydraulic transmission. Its construction, processing precision and assembly can influence the function of the transmission directly. Since the shape of pilot wheel vane is very complicated, its modeling, processing and measure are the difficult points of engineering aspect. In this paper, the vane points were measured to become the point clouds using three coordinates measurer. Then, according to the procedure of point, curve, face and solid body, the curve face imitation of the vane was made using CAD software. And the 3D modeling of pilot wheel was made. Keywords-vane; reverse engineering; pilot wheel; surface reconstruction
Pattern Recognition Application of Improved SURF Algorithm in Mobile Phone

Directed at the defects of time-consuming feature points extracting and out-of-sync between matching feature points and processing video frames in the original SURF (Speeded Up Robust Features) algorithm in mobile pattern recognition applications. For these shortcomings, this paper proposes an improved SURF algorithm. The algorithm uses buffer mechanism. An adaptation threshold is used when extracting feature points. Experimental results show that using the improved SURF algorithm in mobile applications has achieved the purpose of real-time processing. It has certain values in both theory and practice.
Analysis of Malicious Traffic and Its Impact to QoS Metric LRD and Energy Invariant

The Internet is evolving from a single best effort service to a multi-services network. The success of the Internet has increased its vulnerability to misuse and performance problems. The existence of network anomaly packets inside normal traffic can decrease QoS performance substantially. These anomalous events can provoke some changes in the QoS perceived by all users of the network, and then break the service level agreement (SLA) at the Internet service. It is hard to detect and distinguish malicious packet and legitimate packets in the traffic. The reason is behavior of Internet traffic is very far from being regular, and presents large variations in its throughput at all scales due to self-similarity, multi- fractality and long-range dependence (LRD). The aim of this paper is to analysis the impact of malicious network attacks (host and network attacks) on network second order QoS metric. The dynamic traffic behavior is characterized by LRD and Energy Invariant change. These changes in the LRD function and Energy Invariant therefore can give direction of developing more robust network anomaly detection. We use benchmark DARPA for our data testing. From the experiments we categorize the QoS impact into three categories: increase LRD, imitate LRD and decrease LRD.
Increasing the Noticeability of Warnings: Effects of Pictorial, Color, Signal Icon and Border

Because of the importance of noticeability on subsequent comprehension and compliance to warnings, guidelines suggest increasing the salience or conspicuity of warnings. Surprisingly, only a small amount of research has examined different methods of increasing the noticeability of warnings. Therefore, the current research orthogonally manipulated four salience variables (pictorial, color, signal icon and border) to determine their effect on noticeability of warning information. Subjects viewed 96 simulated alcohol labels on a computer, half with a warning and half without. Subjects indicated whether or not a warning was on the label and response latencies were recorded. The results showed that warnings containing a pictorial, color or an icon had significantly faster response times than warnings without them. However, the addition of a border did not improve response times. More detailed analyses showed interactions between the four salience manipulations. These results demonstrate that pictorials, color and icons can enhance the noticeability of warning information. Moreover, it is clear that these salience manipulations interact with each other and that they should not be used indiscriminately without adequate knowledge of these interactions.
Data registration and integration of three-dimensional sensors

Based on a vertical scanning system with a line-structured light source, data registration of several 3-D sensors is performed by a calibration process using a linear partition method. Data integration is fulfilled by using a relatively simple but efficient technique called the average coordinates method. The principle and solution procedure of each method is deduced in detail. Two 3-D sensors, a round filament target and an object with certain edge length, are used to verify the theory, and experimental results show that the mean relative error is less than 1%. With no requirement for solving nonlinear equations and other camera parameters, the method proposed is easy to adopt, runs fast, and still is high in precision, which meets the demands of 3-D measurement of a relatively big object.
BP neural network optimization based on an improved genetic algorithm

An improved genetic algorithm based on evolutionarily stable strategy is proposed to optimize the initial weights of backpropagation (BP) network in this paper. The improvement of GA lies in the introducing of a new mutation operator under control of a stable factor, which is found to be a very simple and effective searching operator. The experimental results in BP neural network optimization show that this algorithm can effectively avoid BP network converging to local optimum. It is found by comparison that the improved, genetic algorithm can almost avoid the trap of local optimum and effectively improve the convergent speed.
Precision direction finding antennas

A compact and precise direction finding antenna was designed by combining a monopole and a loop antenna. A cardioid radiation pattern was achieved and, in particular, a sharp null is obtained. The antenna is useful for tracking and locating the target when the operator is within a couple of hundred meters of the target. The construction of this antenna is extremely simple and there is no need for a matching network. As a result, the manufacturing cost is very low. >
Vision restoration of dangerous head light glare affected scenario

Vehicle's head light glare is very dangerous problem of driving at night. It instantly reduces driver sight to obstruction on road. The high luminance in glare distorts a driver's vision in large area and very difficult to restore with single frame image processing. In this paper, we present a vision restoration for glare affected scenes by using previous frames information regarding to motion vector (MV) that are derived from video decoder. We adopt three-dimensional recursive search (3DRS) motion estimation method to re-estimate new motion vectors (MV1) to select effective information from the previous non-glare affected frames. Then MV1 are extrapolated and refined. The defected area is restored using motion compensation. The results show that our proposed solutions can restore vision from glare area and increase significant driver's obstruction detection.
A 2-dB noise figure 900-MHz differential CMOS LNA

This paper proposes a new circuit topology for RF CMOS low noise amplifier (LNA). Since pMOS devices are approaching the performances of nMOS devices in scaled technologies, the idea is to realize the input stage shunting an inductively degenerated nMOS stage with a pMOS one. In this way, due to the inherent current reuse, the performances can be improved using the same power consumption. Since the devices of an inductively degenerated input stage are working in moderate inversion (at least at moderate power dissipation), prior to the stage optimization an appropriate moderate inversion model is introduced. A fully differential 900-MHz 0.35-/spl mu/m CMOS LNA (plus output buffer) prototype achieves the following performances: 2-dB noise figure (NF), 17.5-dB power gain, -6-dBm IIP3 with 8-mA current consumption from a 2.7-V voltage supply. To the author's knowledge, this is the lowest reported NF for a fully differential CMOS LNA operating at this power consumption level. As an additional feature, this LNA has a programmable gain.
Throughput performance of memory ARQ schemes

We present a throughput analysis for the memory automatic repeat request (ARQ) schemes with self-decodable frame retransmissions, taking into account frame header and frame acknowledgment failure probability. A lower bound on the throughput is obtained for a very general class of schemes which encompasses many of those proposed in the literature. Numerical results are given for several example systems, and suitable header and acknowledgment forward error correction (FEC) encodings are determined.
Blocking in a Shared Resource Environment

In recent years, considerable effort has focused on evaluating the blocking experienced by "customers" in contending for a commonly shared "resource. " The customers and resource in question have typically been messages and storage space in message storage applications or data streams and bandwidth in data multiplexing applications. The model employed in these studies, a multidimensional generalization of the classical Erlang loss model, has been limited to exponentially distributed storage (or data transmission) times, questions concerning efficient computational schemes have largely been ignored, and the class of resource sharing policies considered has been unnecessarily restricted. The contribution of this paper is threefold. We first show that the state distribution (obtained by previous authors) is valid for the large class of residency time distributions which have rational Laplace transforms. Second, we show that, for the important and commonly implemented policy of complete sharing, a simple one-dimensional recursion can be developed which eliminates all difficulty in computing quantities of interest-regardless of both the size and dimensionality of the underlying model. Third, we show that the state distribution holds for completely arbitrary resource sharing policies.
Modeling of Tacit Knowledge and Its Application Case Study: Web Page Layout Design

: A method for modeling a tacit knowledge has been developed. Tacit knowledge is a type of knowledge that is difficult to describe with words or symbols such as sports techniques, design skills, etc. It is difficult for us to obtain and share this type of knowledge. In this paper, we discuss a new method to create a model of tacit knowledge by showing an example of web site designing. Usually, capable designers can express their intensions precisely through their works. This is to say, appearances of their works reflect their intention. Thus, it is expected that capable designers’ tacit knowledge can be extracted from their works. Knowledge of the design was extracted from actual web pages on the Internet. Then, knowledge models were created by utilizing a Bayesian network. The created models were verified by LOOCV technique. The result shows that one of the created models illustrates part of a designers’ knowledge accurately.
Scientific data dissemination a data catalogue to assist research organizations

The constant scientific production in the universities and in the research centers makes these organizations produce and acquire a great amount of data in a short period of time. Due to the big quantity of data, the research organizations become potentially vulnerable to the impacts on information booms that may cause a chaos as far as information management is concerned. In this context, the development of data catalogues comes up as one possible solution to the problems such as (I) the organization and (II) the data management. In the scientific scope, the data catalogues are implemented with the standard for digital and geospatial metadata and are broadly utilized in the process of producing a catalogue of scientific information. The aim of this work is to present the characteristics of access and storage of metadata in databank systems in order to improve the description and dissemination of scientific data. Relevant aspects will be considered and they should be analyzed during the stage of planning, once they can determine the success of implementation. The use of data catalogues by research organizations may be a way to promote and facilitate the dissemination of scientific data, avoid the repetition of efforts while being executed, as well as incentivate the use of collected, processed an also stored.
Properties of column spacers on a flexible color filter using a roll‐to‐roll process

Abstract— Column spacers were manufactured by a roll‐to‐roll process for a flexible plastic substrate and an LCD prototype was demonstrated for the first time. The purpose of this paper is to obtain a stable cell gap for plastic LCDs by designing the column spacers. The optimum condition was derived for the properties of the column spacers parameters, such as the cross section, density, and hardness. As a result, we could determine the optimum elastic modulus of the column spacers needed in order to precisely maintain the cell gap of the LCD as well as that of conventional glass plates, resulting in a uniform display luminance.
The effects of scene content parameters, compression, and frame rate on the performance of analytics systems

In this investigation we study the effects of compression and frame rate reduction on the performance of four video analytics (VA) systems utilizing a low complexity scenario, such as the Sterile Zone (SZ). Additionally, we identify the most influential scene parameters affecting the performance of these systems. The SZ scenario is a scene consisting of a fence, not to be trespassed, and an area with grass. The VA system needs to alarm when there is an intruder (attack) entering the scene. The work includes testing of the systems with uncompressed and compressed (using H.264/MPEG-4 AVC at 25 and 5 frames per second) footage, consisting of quantified scene parameters. The scene parameters include descriptions of scene contrast, camera to subject distance, and attack portrayal. Additional footage, including only distractions (no attacks) is also investigated. Results have shown that every system has performed differently for each compression/frame rate level, whilst overall, compression has not adversely affected the performance of the systems. Frame rate reduction has decreased performance and scene parameters have influenced the behavior of the systems differently. Most false alarms were triggered with a distraction clip, including abrupt shadows through the fence. Findings could contribute to the improvement of VA systems.
SLIDER: Software for LongItudinal Data Exploration with R

This paper introduces an interactive web platform called “SLIDER” to explore longitudinal data and an original graphical display called “slide plot” which is conceived to visualize aggregated trajectories. The paper begins with a short state of the art of existing graphical displays used to analyze longitudinal data. Then, it presents the main characteristics of the proposed slide plot visualization. At last, it gives a technical description of the web application and the graphical display, both implemented using the R software and the shiny R package.
Development of the real-time stereoscopic error corrector and convergence controller

The geometric differences between left and right images are known as a main factor of eye fatigue in the stereoscopic system. We developed a real-time stereoscopic error corrector which can adjust the vertical errors, the disparity, and the size (field of view) errors of HD moving pictures in VCR tape. The main idea of this system is to extract and use only the common area of both images by cropping the left and right images independently. For this system, we developed a realtime HD scaling hardware and stereoscopic error correcting software. We tested the system with the video streams taken by our HD stereoscopic camera. As a result, we confirmed that the developed system could reduce the efforts and time for correcting the stereoscopic errors compared to the other methods. We also developed a real-time zoom-convergence interlocked controller for HD parallel-axis stereoscopic camera using the same hardware. Because it doesn't need motors for parallax move, we could control the convergence more smoothly while locking it with zoom.
Dragons in the stacks: an introduction to role‐playing games and their value to libraries

Purpose – The purpose of this paper is to introduce the genre of tabletop fantasy role‐playing games and provide guidance in building an initial collection.Design/methodology/approach – The first part of the paper is designed to present the development of tabletop fantasy role‐playing games in a historiographic model, tracing the history of these games from the 1970s to 2006. The second portion is a bibliographic essay and critique of several noteworthy fantasy role‐playing games, including analysis of the settings and systems of each game.Findings – The paper provides a history of the development of fantasy role‐playing games and provides guidance on how to start a collection. The study recognizes a lack of academic research on the topic and seeks to provide a brief introduction.Practical implications – The paper provides a clear concise history of role‐playing game development and balanced advice for librarians who wish to begin collecting role‐playing games.Originality/value – This paper begins to fill.
Traffic-responsive signal timing for system-wide traffic control

Due to the many complex aspects of a traffic system, it has been difficult to determine the optimal signal timing. Much of this difficulty has stemmed from the need to build extremely complex models of the traffic dynamics as a component of the control strategy. This paper presents a fundamentally different approach for optimal signal timing that eliminates the need for such complex models. The approach is based on a neural network serving as the basis for the control law, with the weight estimation occurring in closed-loop mode via the simultaneous perturbation stochastic approximation (SPSA) algorithm. Since the SPSA algorithm requires only loss function measurements, there is no system-wide model required for the weight estimation.
An Application of Particle Swarm Optimization to Bilevel Facility Location Problems with Quality of Facilities

This paper proposes a new model of bilevel facility location problems (BFLPs). Drezner considered a BFLP on a plane, which is an optimal location problem for the situations that there are two types of decision makers (DMs), an upper DM and a lower DM, and they locate some competitive facilities, e.g. shops and stores. An optimal location for BFLP is generally represented as Stackelberg solution. In Drezner's BFLPs, customers choose their using facility by considering only the distance between them and the facilities. This paper considers a BFLP with quality of facilities, e.g. scale of facilities, good service, and variety of goods. In order to solve the formulated BFLP efficiently, a solving method for the BFLP based upon particle swarm optimization (PSO) methods is proposed. The efficiency of the proposed solving method is shown by applying to some examples of the BFLPs.
Loop Eigenvalue Elasticity Analysis: Three Case Studies

The paper explores the application of loop eigenvalue elasticity analysis (LEEA) to three models in order to reveal the potential of the method for generating insights about model behavior and to uncover issues in developing the method further. The results indicate that the utility of the method depends upon the character of the model and dynamics involved. In models where the transient behavior is of interest, the method yields insights on par with the pathway participation method, though better tools to link the method to time paths of particular variables is needed. In models involving near-equilibrium oscillation, the LEEA is clearly the most powerful, though more efficient computer programs are needed to handle large-scale models. The analysis reveals a number of technical issues to be resolved relating both to repeated eigenvalues and to interpreting a large number of loop elasticities. In highly non-linear models exhibiting deterministic chaos, LEEA, being based upon linear concepts, does not appear to yield any insight because the eigenvalues may change substantially even when the mode of behavior (expanding oscillations) appears constant. The paper also describes the set of tools and processes that we have developed to date and the design for a web-based toolbox to make the methods readily available to a wider audience in the hope that others will join the efforts to develop analytical methods for interpreting model behavior.
MTDP: A Model for Teaching Writing

Writing requires mastery on its basic components to make it an effective piece of discourse. It can be taught so easily that the students keep on improving and getting motivation to write much more if we follow the proper approach of teaching writing. This article attempts to highlight the basic literacy about the components and approaches of developing writing, and focuses on the model text deconstruction process (MTDP) of teaching writing. The experiment made during the competency based training laid foundation for this article. Key words: Model Text Deconstruction Process (MTDP); academic writing; analyzing writing DOI: 10.3126/nelta.v14i1. 3086 Journal of NELTA Vol.14, No 1&2, 2009 December Page: 14-20