Miracle-dz/UniFAR-FTUs huggingface dataset:
Fast, interactive water wave simulation in gpu for games

This thesis report presents the concept of an algorithm and the development of a framework for interactive water wave simulation mainly based on the height field approach. Dynamic user inputs can interact with the simulated water to create and propagate waves accordingly. This interaction can provide immersive feeling to video game players. The most important feature of the algorithm is the very short computational time it takes. The algorithm is targeting the modern video games with a highdefinition (HD) standard resolution. It can be run at 720p or even io8op resolution to achieve a frame rate suitable for the video games. The algorithm is well implemented on the GPU architecture for acceleration purpose. A water simulation platform is also designed in this research which is able to combine various types of water wave effects such as ocean wave, ripples and even breaking waves together. This architecture is good for making the result more realistic. i ATTENTION: The Singapore Copyright Act applies to the use of this document. Nanyang Technological University Library
Recent Developments of Biobased Plasticizers and Their Effect on Mechanical and Thermal Properties of Poly(vinyl chloride): A Review

Plasticized poly(vinyl chloride) (PVC) has been extensively utilized globally, with various applications in construction, piping, wiring and cable, installation, flooring, nonfood packing, windows, doors, and more. Phthalates have been the most commonly employed plasticizers for PVC, but some of these plasticizers demonstrate many toxic effects on the environment and human beings, which consequently limits the use of phthalate plasticizers. Growing awareness of the effects of plasticizers on the environment and the depletion of petroleum-based resources has made the development of an alternative biobased plasticizer for PVC formulation necessary. Recently, there has been an increased consciousness of the use of natural resource-based plasticizers instead of phthalates in PVC production, because they are eco-friendly in nature. This review paper covers the utilization of traditional and biobased plasticizers for PVC plasticization, and their effect on environmental, mechanical, and thermal properties has b.
Study on Cooperation Stimulation Mechanism in Route Discovery of Ad hoc Networks

How to stimulate selfish nodes which belong to different utility-maximizing entities to cooperate is a hot topic in Ad hoc network research community.Current mechanisms proposed so far focus mainly on detecting selfish behavior and stimulating cooperation in data forwarding stage.They are not applicable in route discovery stage.Based on statistics relationship of route request packets relayed and generated by a neighbor node,this paper proposed an algorithm to detect and punish the selfishness in route discovery stage for on-demand routing protocols.The algorithm was modeled with the tool of game theory as the repeated prisoner dilemma in noisy environment,and its effectiveness to stimulate cooperation was analyzed with the model.Theoretic analysis and simulation results showed that our scheme could punish the selfishness in route discovery effectively and thus stimulate nodes to cooperate.
Alleviating The Complexity Of TheCombinatorial Neural Model Using ACommittee Machine

Knowledge Discovery from Databases (KDD) can be seen as a set of computer-aided knowledge discovery techniques scaled up to very large databases. By this way, the old process of discovery has experienced amazing improvements by: (a) allowing well-known Machine Learning and Statistical algorithms run for larger data sets with good performance; and (b) making easier tasks like data gathering and cleansing, parameter and model selection, and so on. In this paper we take the Combinatorial Neural Model (CNM), proposed by Machado and Rocha ([6], [7], and [8]), and explore the adoption of a committee machine to cope with the complexity problem present in this model. In our proposal, a static committee machine is built on a certain number of CNMs. The committee machine takes the discrete outputs from the individual models, and proceeds by choosing the most accurate output using a voting process. Many works has been presented to alleviate the complexity problem in CNM and this one represents an alternative that can be combined with other solutions. The results from the experiments point out that, by means of a committee machine, one can reach a better trade-off between predictive accuracy and complexity. To evaluate the effectiveness of the technique, we apply it to some well-known data sets from the UCI repository [2]. Finally, it is suggested some extensions to improve the committee machine in order to obtain a better generalization performance, towards a universal approximator.
Faculty Pub Night at the William H. Hannon Library: Highlighting Faculty Works Through Creative Programming

Column description. The Marketing column features essays about a variety of creative and innovative marketing strategies used to highlight collections or promote services in all types of libraries. Its purpose is to provide real examples of how libraries are using marketing and outreach techniques in interesting ways. The column offers practical insight from libraries engaged with marketing. In addition to marketing, the column also features essays on successful programs and events that promote the library. Readers are invited to suggest topics or projects by contacting the column editor, Katy Kelly.
Cross layer scheduling and resource allocation algorithms for cellular wireless networks

This thesis considers the problem of cross layer scheduling and radio resource allocation of multiple users in the downlink of time-slotted and frequency-slotted cellular data networks. For these networks, opportunistic scheduling algorithms improve system performance by exploiting time variations of the radio channel. Within the broader framework of opportunistic scheduling, this thesis solves three distinct problems and proposes efficient and scalable solutions for them. First, we present novel optimal and approximate opportunistic scheduling algorithms that combine channel fluctuation and user mobility information in their decision rules. The algorithms propose the use of dynamic fairness constraints. These fairness constraints adapt according to the user mobility. The optimal algorithm is an off-line algorithm that precomputes constraint values according to a known mobility model. The approximate algorithm is an on-line algorithm that relies on the future prediction of the user mobility locations in time. We show that the use of mobility information increases channel capacity. We also provide analytical bounds on the performance of the approximate algorithm. Second, this thesis presents a new opportunistic scheduling solution that maximizes the aggregate user performance subject to certain minimum and maximum performance constraints. By constraining the performance experienced by individual users, who share a common radio downlink, to some upper bounds, it is possible to provide the system operator with a better control of radio resource allocations and service differentiation among different classes of users. The proposed solution offers better performance than existing solution under practical channel conditions. Finally, we present a dynamic subcarrier allocation solution for fractional frequency reuse in multicell orthogonal
RDA and the Music Student: A Domain Analytic Approach to Catalog Needs

This study uses the framework of domain analysis to suggest a model by which modern studies of catalog use might be approached. Future studies using this model may provide a tool for evaluating and developing cataloging codes based on empirically-assessed user needs. A survey of music students at a small liberal arts college was followed by interviews and a focus group from the same population. Content analysis of the data was used to determine the elements of bibliographic information needed by this particular domain of users, and those needs were then compared to the elements of bibliographic information provided by Resource Description & Access (RDA) cataloging. The questions to be explored included: What attributes of information should be represented in a library catalog to serve the needs of music students at a small liberal arts college? To what extent do catalog records created according to RDA include sufficient representation of those needed attributes? And what changes, if any, would need to be made to RDA to accommodate the needs of users in this particular domain? Maurine W. McCourry August 8, 2014 RDA AND THE MUSIC STUDENT vi Table of
Feature Selection on MR Images Using Genetic Algorithm with SVM and Naive Bayes Classifiers

Dementias are termed as neuropsychiatric disorders. Brain images of dementia patients can be obtained through magnetic resonance imaging systems. The relevant disease can be diagnosed by examining critical regions of those images. Certain brain characteristics such as the cortical volume, the thickness, and the surface area may vary among dementia types. These attributes can be expressed as numerical values using image processing techniques. In this study, the dataset involves T1 medical image sets of 63 samples. Each particular sample is labeled with one of the three dementia types: Alzheimer's disease, frontotemporal dementia, and vascular dementia. The image sets are processed to create different feature groups. These are cortical volumes, gray volumes, surface areas, and thickness averages. The main objective is seeking brain sections more effective in establishing the clinical diagnosis. In other words, searching an optimal feature subset process is carried out for each feature group. To that end, a wrapper feature selection technique namely genetic algorithm is used with Naive Bayes classifier and support vector machines. The test phase is performed by using 10-fold cross validation. Consequently, accuracy results up to 93.7% with different classifiers and feature selection parameters are shown.
Social Networks VGI: Twitter Sentiment Analysis of Social Hotspots

The enormous amount of data generated on social media provides vast quantities of geo-referenced data. Volunteered Geographic Information (VGI) originating from social networks has produced new challenges for research and has opened opportunities for a wide range of use cases. Smartphones with built-in GPS sensors enabled users to easily share their location and with the growing number of such devices available, VGI data is expanding at a rapid rate. Twitter is one of the most popular microblogging services. It’s a social network that enables access to the data that is being created on the platform. It also allows for real-time retrieval of data from a given geographic area. In this paper we give an overview of a system for detecting and identifying social hotspots from Twitter stream data and applying sentiment analysis on the data. Utilizing the Twitter Streaming Application Programming Interface (API), we collected a significant number of Tweets from New York and we evaluated the quality of the retrieved data. In this paper, we outline advantages and disadvantages of using various clustering algorithms over the data for this purpose, namely hierarchical agglomerative clustering and DBSCAN. We also elaborate on techniques for
The Computational Hoverfly; a Study in Computational Neuroethology

Studies in computer vision have only recently realised the advantage of adding a behavioural component to vision systems, enabling them to make programmed ‘eye movements’. Such an animate vision capability allows the system to employ a nonuniform or foveal sampling strategy, with gaze-control mechanisms repositioning the limited high-resolution area of the visual field. The hoverfly Syritta pipiens is an insect that exhibits foveal animate vision behaviour highly similar to the corresponding activity in humans. This paper discusses a simulation model of Syritta created for studying the neural processes underlying such visually guided behaviour. The approach differs from standard “neural network” modeling techniques in that the simulated Syritta exists within a elosed simulated environment, i.e. there is no need for human intervention: such an approach is an example of computational neuroethology.
Coordinated adaptive power management CAPM technique for sensor network nodes

Small size of wireless sensor nodes limit the size of the battery supported on it which directly limits the capacity of the battery and lifetime of the sensor nodes. Though energy scavenging is one of the solutions, it is not always reliable due to the unavailability of energy to be scavenged (solar, wind, vibrations etc) all the time. Wireless Sensor Networks (WSN) are required to work over longer period as they have been deployed to detect or monitor some rare events or objects. It creates the need for stringent power optimization at all the layers of sensor network. In order to have a WSN alive sufficient number of sensor node needs to be alive covering the sensing field and providing a route to the sink. Aim of this research is to increase the life time of battery powered wireless sensor nodes along with the Quality of Service (QoS) ensured. QoS parameter considered is data loss due to buffer overflow. Each sensor node can individually and independently make decisions about its operating state depending on the current workload. QoS parameter is kept at utmost priority along with the power optimization. Increasing the lifetime of sensor nodes means decreasing the time averaged power consumption of processing and transmission units. This research creates the need for a dynamically reconfigurable sensor node in which computational as well as communication tasks can be carried out with different speeds and power as per the requirement. DVFS (Dynamic Voltage Frequency Scaling) and DMS (Dynamic Modulation Scaling) techniques help to increase the power efficiency of communication unit and radio unit respectively. In this thesis we are focusing not only
EFFECTS OF TRAINING IN THE USE OF TOULMIN’S MODEL ON ESL STUDENTS’ ARGUMENTATIVE WRITING AND CRITICAL THINKING ABILITY

A persistent concern in many Asian schools today is the quality of students’ thought processes. Critical-thinking skills are important to meet the present global expectations and challenges. Often, students find it difficult to think critically and need a great deal of structured guidance when completing tasks which require higher-order thinking skills, such as argumentative writing. Though important, argumentative writing is a challenging mode of discourse not only for L2 students, but also for a large majority of L1 students, because they too, think critically and reason logically. This paper presents and discusses an approach that uses the Toulmin’s model of logical reasoning, which incorporates questioning techniques to provide scaffolding for students’ argumentative writing and critical-thinking ability. This paper illustrates how students with low language ability were able to learn how to think constructively and develop appropriate critical-thinking skills for argumentative writing. Pedagogical considerations for enhancing the teaching and learning of argumentative writing for teachers and ESL practitioners alike are suggested.
FORMAL: A SEQUENTIAL ATPG-BASED BOUNDED MODEL CHECKING SYSTEM FOR VLSI CIRCUITS

Bounded Model Checking (BMC) is a formal method of verifying Very Large Scale Integrated (VLSI) circuits. It shows violation of a given circuit property by finding a counter-example to the property along bounded state paths of the circuit. The BMC problem is inherently NP-complete and is traditionally formulated to a boolean SATisfiability (SAT) problem, which is subsequently solved by a SAT solver. Automatic Test Pattern Generation (ATPG), as an alternative to SAT, has already been shown an effective solution to NP-complete problems in many computer-aided design areas. In the field of BMC, ATPG has already achieved promising results for simple properties; its effectiveness for more complicated nested properties, however, remains unknown. This thesis presents the first systematic framework of ATPG-based BMC capable of checking properties in all nested forms on gate level. The negation counterpart to a property is mapped into a structural monitor, which is tailored to a flattened model of the input circuit. A target fault is then injected at the monitor output, and a modified ATPG-based state justification algorithm is used to search a test for this fault. Finding such a test corresponds to formally establishing the property. The framework can easily incorporate any existing ATPG tool with little modification. The proposed framework has been implemented in a computer program
lntegrated GPS/lnertial Fault Detection Availability

Different techniques have been proposed for combining GPS and inertial sensor information, and recent published findings seem to indicate that primary-means integrity availability is achievable with standard 2 nmi/h (95 percent) inertial sensor performance. This paper investigates and quantifies the different inertial effects that contribute to enhanced integrity of the integrated GPS/inertial system, such as coasting or Schuler feedback. A Kalman filter-based integration scheme that preserves the integrity information in an optimal fashion is presented and used to quantify integrity performance. This paper also proposes an approximate model, incorporating the main inertial effects contributing to integrity, that can be used to calculate the achievable horizontal protection level (HPL) at any geographical location and time. This model is used to estimate the availability of fault detection for an integrated GPS/inertial system. In addition, the paper compares the availability of fault detection for the GPS/inertial system with that for other augmentations to provide trade-off information.
Highly efficient synthesis of β(1, 4)-oligo- and polysaccharides using a mutant cellulase

This report describes an efficient chemoenzymatic synthesis of a variety of regioselectively modified β(1→4)-oligo- and -polysaccharides. This successful approach was based on: (i) the use of a “glycosynthase” which is a Glu-197-Ala nucleophile mutant of the retaining cellulase endoglucanase I (Cel7B) from Humicola insolens and (ii) the rational design of modified acceptor and donor molecules through a careful examination of information given by the X-ray structures of wild type and mutated enzymes. The mutant was able to catalyze, in high yield, the regio- and stereoselective glycosylation of α-glycobiosyl fluorides both unsubstituted and modified with various mono- and disaccharide acceptors, as well as the polymerization of these donors through a single-step inverting mechanism.
Conversation Analysis of Coalition Communication in Network Centric Operations

Current major military deployment almost always involves collaborations among multiple nations with groups and team members from diverse backgrounds (Pierce 2002a, 2002b; Chiarelli and Michaelis 2005). The success of coalition operations requires highly effective and efficient communication between teams and team members. In a network centric environment in this Information Age, human communication constitutes an important dimension of the human networks, interacting with other types of networks such as communication networks and information networks. The degree of effectiveness of aBstraCt
Hybrid Low Complex near Optimal Detector for Spatial Modulation

In our previous work maximum throughput in multi stream MIMO is analyzed by overcoming the inter antenna interference. To mitigate the Inter antenna interference spatial modulation can be used. Spatial Modulation(SM) aided MIMO systems are the emerging MIMO systems which are low complex and energy efficient. These systems additionally use spatial dimensions for transmitting information. In this paper a low complex detector based on matched filter is proposed for spatial modulation to achieve near maximum likelihood performance while avoiding exhaustive ML search since MF based detector exhibits a considerable reduced complexity since activated transmitting antenna and modulated amplitude phase modulation constellation are estimated separately. Simulation results show the performance of the proposed method with optimal ML detector, MRC and conventional matched filter methods.
A hybrid approach for the automation of functional decomposition in conceptual design

ABSTRACT Multidisciplinary complex mechatronic systems span disciplines such as mechanics, electronics, control and software. Increasing complexity makes the implementation of automated design for complex mechatronics highly challenging. An effective method for decomposing an overall function to obtain the function structure and principle solution is needed for efficient creative design. A hybrid approach is proposed to automate the process of functional decomposition which contains three main steps. First, an overall function is decomposed to several functional effects automatically based on qualitative processing reasoning. Then the physical effect decomposition is conducted for each functional effect based on the support functions. For the functions for which a suitable physical effect cannot be found, a backward search decomposition is proposed to find a multichain function network for it. The decomposition process is implemented with SysML, and illustrated through an automobile engine example. An analysis is given to show the performance of the proposed method.
Excited-state properties of the indole chromophore: electronic transition moment directions from linear dichroism measurements: effect of methyl and methoxy substituents

From measurements of UV and IR linear dichroism on molecules partially oriented in stretched polyethylene host the transition moment directions for the first four pi-pi* transitions of indole and some indole derivatives were determined. Relative to the pseudosymmetry long axis of indole, the transitions were normally found to be polarized at (angles counted away from the ring nitrogen): +42 +/- 50-degrees (1A1 --> 1L(by) at 287 nm), -46 +/- 5-degrees (1A1 --> 1L(a) at 265 nm), 0 +/- 15-degrees (1A1 --> 1B(by) at 220 nm), and for the 1A1 --> 1B(a) transition occurring around 200 nm, at least at +/- 30-degrees away from this axis. In addition, indication for a weak, essentially short axis polarized transition was found at 235 nm, possibly due to the 1A1 --> 1C transition. An ambiguity problem regarding the sign of the angles was resolved by exploiting the change of orientation properties upon introduction of substituents. Orientation parameters (including diagonalizing angle) were determined by consideration of a large number of in-plane as well as out-of-plane polarized vibrational transitions. The question regarding effects on the excited states by the presence of methyl and methoxy substituents, at varied positions in the indole chromophore, was addressed in terms of the perturbations they caused on the transition moments. Whereas none of the four transitions was found to be very sensitive in this respect to methyl or methoxy groups introduced in 2-, 3-, 5-, or 7-position of indole, the directions of the weak 1A1 --> 1L(by) but also the strong 1A1 --> 1B(by) transition were found to become significantly altered by a methoxy group in 4- as well as 6-position. The conclusions are consistent with recent fluorescence anisotropy data and semiempirical calculations.