Miracle-dz/UniFAR-FTUs huggingface dataset:
Large Flow Use Cases for I2RS PBR and QoS

This draft discusses two use cases to help identify the requirements for policy-based routing in I2RS. Both of the use cases involve identification of certain flows and then using I2RS to program routers with special handling for those flows. The first use case deals with improving bandwidth efficiency. Demands on networking bandwidth are growing exponentially due to applications such as large file transfers and those with rich media. Link Aggregation Group (LAG) and Equal Cost Multipath (ECMP) are extensively deployed in networks to scale the bandwidth. However, the static hash-based load balancing techniques used today make inefficient use of the bandwidth in the presence of long-lived large flows. We discuss how I2RS can be used for achieving better load balancing. The second use case is for recognizing and mitigating Layer 3-4 based DDoS attacks. Behavioral security threats such as Distributed Denial of Service (DDoS) attacks are an ongoing problem in today's networks. DDoS attacks can be Layer 3-4 based or Layer 7 based. We discuss how such attacks can be recognized and how I2RS can be used for mitigating their effects.
Membership Protocols for the iTrust Network

The iTrust system is a decentralized and distributed system for information publication, search and retrieval over the Internet, which is designed to make it difficult to censor or filter information. In this paper, we present four membership protocols for the iTrust network, namely, the non-adaptive, retry, adaptive and combined adaptive membership protocols. We compare the performance of these membership protocols, with respect to four performance metrics, namely, membership accuracy, match probability, response time and message cost, for various parameter values when the membership churn is high and when the membership is stable.
Aspect Programming with a Security Example

New emerging developments to build robust software, such as generative programming, domain specific languages, meta-programming and so on are drastically modifying the way in which software is perceived and dealt with. Aspect programming is a new way of programming that allows the inclusion of crosscutting concerns into system design and implementation not captured when building software systems under object oriented models. This paper gives a quick overview of aspects and aspect oriented programming and gives an example of how this new technique could be used to address security concerns. Because aspects are a valuable tool in building robust, secure and efficient software, it is worth exploring this innovative technology.
On green and energy-aware GPU computing for scientific applications

Recently, modern graphics processing unit (GPU) has gained the reputation of computational accelerator that can achieve a significant increase in performance by reducing execution time for the different type of scientific application that demand high performance computing. While modern GPUs reduce the execution time of a parallel application as compared to the CPU implementation, but this performance is sometimes achieved at an expense of considerable power and energy consumption. This paper seeks to characterize and explore the impression of high power consumption in a GPU. We examine this notion by reviewing techniques used by researchers to analyze the performance, power, and energy characteristics of GPUs that are utilized for scientific computing. These studies consider applications that run on a traditional CPU setup, and the transformed parallel applications, running on hybrid CPU+GPU environment. These studies indicated that the heterogeneous CPU+GPU environment delivers an energy-aware and sustainable product that is much better than a traditional CPU application.
Interaction techniques for large scale display by using facial motion with speech assist March 2013

In recent years, large scale display which over 50 inches has been widely used in many information sharing facilities such as hospital, university, or company. Large scale display provides user with high definition and contents sharing with a group of people. Large scale display has many advantages, but existing device or gesture based unimodal interaction approaches are insufficient and lack of feedback. It is particularly difficult to take multi-task concurrently. To solve interaction problem and provide user with an intuitive interaction approach, we have proposed a facial motion with speech assist (FMWSA) method, which utilized marker-less face tracking and voice recognition techniques to improve operability with large scale display. Our multimodal method enables user to perform manipulations in the large scale display with the combination of slight facial movement and pre-defined voice commands. Also, user can obtain intuitional feedback by both acoustic and optic way. Furthermore, we implemented a “location and selection” based gallery exhibition interface and a “navigation” based video player interface to identify the applicability of proposed interaction method. Finally, to evaluate our system, we conducted a multi-task experiment and got feedback and comments from users.
A Systematic Approach for Generate Test Cases Using UML Activity Diagrams

Model-based test case generation is gaining acceptance to the software practitioners. Advantages of this are the early detection of faults, reducing software development time etc. In recent times, researchers have considered different UML diagrams for generating test cases. Few works on the test case generation using activity diagrams is reported in literatures. However, the existing work considers activity diagrams in method scope and mainly follows UML 1.x for modeling. In this paper, we present an approach of generating test cases from activity diagrams using UML 2.0 syntax and with use case scope. We consider a test coverage criterion, called activity path coverage criterion. The test cases generated using our approach is capable of detecting more faults like synchronization faults, loop faults unlike the existing approaches. Keywords-Test cases, Activity Diagram, Activity Graph,
An information theory interpretation of relativistic phenomena

It is well recognized that two of the foundational theories of modern physics, relativity and quantum mechanics, are inconsistent. Efforts to overcome this through intensive pursuit of unifying theoretical frameworks or improvements in experimental precision as pursued by Robertson-Mansouri-Sexl and Standard-Model-Extension test theory protocols, have so far proven unsuccessful. Nonetheless, empirical evidence deriving from investigations inspired by the twentieth-century “EPR” polemic, can now claim to have identified ‘locality’ and ‘separability’ as notions integral to special relativity theory inconsistent with quantum mechanics and experimental evidence supporting it. Following intimations of J.S. Bell, L. Smolin, Maudlin and others, the history and philosophy of science are engaged as research tools to uncover the origins of the assumptions underlying such incompatibility. In particular, known but prevalent fallacies and the deprecation of processes as described by Whitehead, together with recent insights into the functional distinctions between representative models and explanatory theories, are engaged. Analysis of the evolution of optical and electromagnetic theorizing is then suggested to demonstrate that the choice of a mechanically compatible model of electromagnetic radiation, as has conventionally underwritten development of the light-speed postulate of special relativity, is inappropriate. Pursuing options made available within a multiple models idealization of optical and electromagnetic phenomena, replacement of the sponsoring model by a nonlocal and non-separable wavefront process of radiation of the form advanced by Fresnel and Kirchhoff on the basis of Huygens’ principle, suggests the possibility of reformulation of relativity theory without incurring such conflicts. However, choice of a wavefront electrodynamic model including the extinction theorem of Ewald and Oseen, equally suggests possible theory reformulation without necessitating a four-dimensional construct of space and time or postulating an absolute constancy of light-speed in vacuum. Such a constancy can in turn be considered as demonstrating an innate limitation on empirical observation resulting from the loss of relative velocity information during electromagnetic transmission due to the memorylessness of the Markov propagation process of refraction together with information flow discontinuity resulting from dielectric boundary extinction events. Such characteristics are shown to be applicable to electromagnetic radiation of all frequencies. Further, from a wavefront reformulated hypothesis of inertial relative motion, it appears possible to demonstrate that the Galilean principle of relativity can be preserved. However, Lorentz invariance would then require reinterpretation wherein the Lorentz transform group would be deemed to quantify the degree of information distortion inherently experienced by any empirical enquiry into electrodynamics involving relative motion.
[우수논문] A Cooperative - Efficient - Reliable MAC for VANETs

Vehicular Ad hoc Networks (VANETs) should provide the vehicles with reliable safety message broadcasts and efficient non-safety message transmissions. In this paper, we propose a Cooperative Efficient Reliable multi-channel MAC for VANETs, named CER-MAC, which supports both TDMA and CSMA in accessing the control channel (CCH) and provides the cooperation in broadcasting the safety messages. The CER-MAC allows vehicle nodes to send safety messages in the reserved time slot on the CCH and to utilize the service channel (SCH) resources during the CCH Interval (CCHI). Key word: Cooperative, VANETs, Multi-channel MAC, TDMA, CSMA.
Micro-expression detection using integral projections

Automatic detection of micro-expression from a video is the first step in the micro-expression analysis. In this paper, we present a method addressing the micro-expression detection problem based on the differences in the Integral Projection (IP) of sequential frames. The method can detect the temporal location of the micro-expression. It involves an observation of the Chi-squared distance of the IP to measure the difference between frames. The main advantage of using IP for micro-expression detection is its low computation cost, which brings an important merit in real-time application. To evaluate our method, experiments are completed on two micro-expression databases namely CASME and CASME II. Results on these two datasets show that the proposed method obtains positive promising results with much less computation time against state-of-the-art methods. © 2017, Vaclav Skala Union Agency. All rights reserved.
Providing regular assessments and earlier feedback on Moodle in an introductory computer science course : a user study

Formal feedback on assessments is given to students half way through the semester for a lot of tertiary level courses. For some students, it can be too late to change their study habits and they might not have realised that they were struggling before getting the feedback. Receiving late feedback can also result in lowering learner’s motivation as well. The aim of this study is to determine the effect of providing regular feedback on students’ academic achievement. The sample group included 92 students from semester 2 2016 and 57 students from semester 1 2017. They were the first-year Bachelor Computer Science students at UNITEC Institute of Technology, New Zealand, doing an introductory database course. The course had three assessments in 2016 including two computers based tests and a final exam on paper. Weekly quizzes were introduced in 2017 with the aim of providing early regular feedback to students. Preliminary results show that providing this feedback early on did not significantly improve the results of their first formal assessment. More studies are needed to examine the effectiveness of weekly quizzes on students’ performance throughout the semester. Subjective evaluation showed that majority of students liked getting regular feedback in form of quizzes and found it valuable for their learning.
Optical parameters variations in an active visual estimator

This paper describes research work on the integration of optical parameters in the selection of a strategy of measurements for the vision system. The approach is based on the feedback interconnection between two dynamical systems: First, a state estimator where the observation equation is a nonlinear map between the state variables of the object and the position in the image plane. This mapping depends on external variables and internal or optical parameters of the sensor. Second, a controller of the vision system with the objective of minimizing some function of the covariance of the state estimation error. A detailed description of this active estimator is presented in the case of a receding horizon observation interval.
Challenges on Developing and Operating Trustworthy and Resilient Service Software Systems

Emerging large-scale, dynamic and open heterogeneous service computing environments applied to realize critical services, call for solutions that guarantee high trustworthiness and resilience. In practice, the current situation, as well as the expected evolution of complex service provisioning systems and infrastructures, shows a clear trend towards dominant characteristics such as extreme complexity, heterogeneity, mobility, scalability, dynamicity, and a very large scale of composable components and services.
Combined CDGPS and vision-based control of a small autonomous helicopter

Recent results in merging carrier-phase differential GPS (CDGPS) sensing with vision-based sensing to control a small autonomous helicopter are presented. The helicopter is a heavily modified yet low-cost kit helicopter that includes a full on-board CDGPS system, stereo video cameras, and sufficient computational capabilities to perform fully autonomous missions. The demonstration mission presented here is a search of a field to find an object followed by the tracking of that object (using the vision system) as it moves around the field. The helicopter system is described and the performance in accomplishing the task is presented.
Performance of high-speed data transfer using an fec method in a multimedia network environment

In the ATM system, all multimedia information, such as voice, picture and data, is divided into packets with the fixed length of 53 bytes, called cells, and the cells are transferred. Intensive studies have been made on the performance of the system, where such multimedia information is multiplexed in the network switch. In the ATM network, the cell loss is not compensated, and it is necessary that the end-user should recover from the errors in order to realize highly reliable data transfer among computers. As one such approach, the error-correcting code (FEC) has been considered interesting. From such a viewpoint, this paper evaluates analytically the data transfer performance when FEC is used. When FEC is used, the redundant cell produces an overhead, which may enhance congestion when the traffic in the network is high and deteriorate the performance. Also, from this viewpoint, this paper considers the priority control, where the redundant cells are discarded positively when the network is congested. The effectiveness of the approach is examined, as in the data transfer performance for the case where the video and the data exist together in the traffic, and it is demonstrated that the control parameters in the priority control are especially important in that case.
Virtual 3D Learning Environments Using Avatars

Heated debates involving reforms in the educational system are becoming more and more frequent in recent years. This is due to the increasingly evident shortcomings in the educational system and its difficulties to evolve at the same pace as technological development. The aim of this work is to present an analysis of the current engineering educational context and propose an interactive content authoring system as well as a virtual professor in an attempt to make learning experience richer and more motivating to students.
A review of applications of data mining techniques for prediction of students’ performance in higher education

Abstract This paper brings in an insight of the number of ways the students’ performance can be predicted. The performance of a student plays a vital role in any institution. It is the measure for assessing the academic excellence of any esteemed educational body. Not only the institute but the academic performance matters to the student as well. There is a tough competition in the field of academics. Students spend their sleepless nights turning up the pages of their books. Well, amidst of this, a student tussle with many hardships. At present, there are various methodologies to predict the student's performance and Data mining provides the most scientific and dependable method for predicting the same. Educational data mining is the process behind the evaluation of useful patterns out of huge education databases. These patterns help the educators in predicting the performance of the student. In a way it also helps in advancing effective teaching. Data mining techniques can be useful in culling out the data concerted to specific needs. This paper presents the study to find out the gap in the existing performance prediction methodologies.
From Amodal to Grounded to Hybrid Accounts of Knowledge: New Evidence from the Investigation of the Modality-Switch Effect

My dissertation sets out to contribute to the ongoing theoretical debate on the format of conceptual representation from both a theoretic (Part 1) and an experimental point of view (Part 2). From a theoretic point of view, it is attempted to show that the amodal and grounded views do not bear incompatible claims. On the contrary, grounded cognitition has complemented traditional approaches taking into account the modalities, the body, and the environment’s influence on cognitive mechanisms. From an experimental point of view, this dissertation is committed to testing predictions coming from grounded accounts of knowledge. Specifically, it is aimed at verifying the assumption that modality-specific representations underlie concepts and conceptual processing through the investigation of the Modality-Switch Effect, a cost for performance in terms of speed and accuracy occurring when two different sensory modality properties for concepts alternate compared to when the same sensory modality property is presented. Four experiments were conducted. Experiments 1 & 2 (Study 1) allowed the author to demonstrate that the Modality-Switch Effect is an automatic robust effect arising during both reading and speech processing. Experiments 3 & 4 (Study 2) assessed the impact of the mode of presentation of stimuli (i.e., visual: through the monitor, aural: through a pair of headphones) on the conceptual Modality-Switch Effect. It is shown that the mode of presentation effect weakens the conceptual Modality-Switch Effect in both a property verification and a lexical decision priming paradigms. In sum, the extensive analysis of amodal and grounded views taken together with the innovative findings reported in this dissertation led the author to suggest that hybrid approaches, that combine aspects of both views, should be preferred over the amodal-only and grounded-only accounts.
A comparison of US Government standard voice coders

The new US Government standard 4800-b/s code-excited linear predictive (CELP) coder is compared with the 2400-b/s linear prediction (LPC-10e) and 16000-b/s continuously variable slope delta modulation (CVSD) Federal Standard voice coders. This comparison includes speech quality and intelligibility in quiet and noisy environments/channels, speaker recognition, analog and digital implementation requirements, tandem coding, and coding delay. CELP is shown to offer dramatic improvements in speech quality relative to LPC-10e and CVSD. Although CELP requires significantly more computation than CVSD or LPC-10e, a version can be implemented on a single, new-generation, digital-signal-processing (DSP) chip. CELP provides interoperability among various computationally complex implementations, and CELP's robust performance tolerates a wide range of speaker variation, background noise conditions, analog impairments (i.e. nonflat microphones and channels), tandems, and errors. These features make CELP ideal for many speech applications. <<ETX>>
On using popular culture to enhance learning for Engineering undergraduates

This paper reports on an investigation into the effectiveness of popular culture for engaging university students in the learning process. A framework was set up for the investigation involving two competitions, namely ‘Design Idol’ and ‘The Biggest Loser’. Design Idol was embedded into a 3rd year electronic circuit design unit at QUT, while The Biggest Loser was incorporated into a 1st year electrical circuits unit at the same university. Assessment results showed that after these competitions were introduced there were improved learning outcomes.
Soil information in hydrologic models: hard data, soft data, and the dialog between experimentalists and modelers

For understanding and predicting rainfall–runoff processes in watersheds, soils and their hydraulic properties play a central role. Experimentalists observe and document hydric soil indicators in detail for more and more sites in various catchments. Modelers, on the other hand, try to break down natural process complexity into models that are based on simplified process descriptions. The challenge for both is to identify first-order controls of catchment hydrologic behavior, which helps to better understand the nonlinearity of natural systems. This chapter describes how both, experimentalists and modelers, can work together toward a better understanding and quantification of subsurface runoff processes. Specifically, this chapter addresses the following questions: (1) How are subsurface runoff processes represented in models of different complexity, ranging from simple conceptual ones to more complex physically based ones? (2) How can catch- ment-scale models be parametrized using point-scale measurements and existing model approaches originally developed for small scales (e.g. a soil column)? (3) Which information can be gained from soil surveying methods, including mapping approaches of hydric soil indicators? (4) Can decision schemes be useful to indicate dominant runoff processes in an objective way? Finally we describe the soft data concept as a possible way forward to enhance the dialog between experimentalists and modelers. Soft data refer to all kinds of qualitative or semi-quantitative information on pedologic and hydrologic processes and properties. These data can be made useful for modeling by applying fuzzy-logic-based functions to evaluate the degree of acceptance of model simulation outputs compared to experimentalists’ field experience.