Miracle-dz/UniFAR-FTUs huggingface dataset:
Oceanic Eddy Identification Using an AI Scheme

Oceanic eddies play an important role in global energy and material transport, and contribute greatly to nutrient and phytoplankton distribution. Deep learning is employed to identify oceanic eddies from sea surface height anomalies data. In order to adapt to segmentation problems for multi-scale oceanic eddies, the pyramid scene parsing network (PSPNet), which is able to satisfy the fusion of semantics and details, is applied as the core algorithm in the eddy detection methods. The results of eddies identified from this artificial intelligence (AI) method are well compared with those from a traditional vector geometry-based (VG) method. More oceanic eddies are detected by the AI algorithm than the VG method, especially for small-scale eddies. Therefore, the present study demonstrates that the AI algorithm is applicable of oceanic eddy detection. It is one of the first few of efforts to bridge AI techniques and oceanography research.
Special issue on action research in information systems: making is research relevant to practice--foreword

There have been frequent calls for IS researchers to make their research more relevant to practice (Zmud 1998), yet it seems IS researchers continue to struggle to make excellent research practically relevant. We believe action research methods provide one potential avenue to improve the prac tical relevance of IS research. Action research has been accepted as a valid research method in other applied fields such as organization development and education, (e.g., Carr and Kemmis 1986; Elden and Chisholm 1993; Van Eynde and Bledsoe 1990). It has been described as "the touchstone of most good organizational develop ment practice" and "remains the primary methodo logy for the practice of organizational develop ment" (Van Eynde and Bledsoe 1990, p. 27). We see no reason why action research should not be accepted in the field of information systems.
Application of the Lattice Boltzmann Method to Issues of Coolant Flows in Nuclear Power Reactors

In the past years, the Lattice Boltzmann Method (LBM) has been widely used by the scientific community as an alternative to the conventional numerical solvers for the Navier-Stokes (NS) equations. The present work in this thesis aims at studying the LBM for fluid dynamics. The main topics are concentrated in three aspects: the description of the model, the validation of this model, and the application of this model to an engineering case. In the first part the model is defined. Therefore, the Boltzmann equation and the Boltzmann distribution are defined. Also, the explanation of the framework where this method works is included. Then, the BGK-Approximation and the discretization of the Boltzmann equation are introduced. The algorithm needed to apply the model will also be explained together with numerical stability issues that one must take into account when it is implemented. An explanation of the different boundary conditions will also be summarized. In chapter 3 the LBM will be applied to different 3D cases to test its accuracy and validate the model. The Poiseuille and Couette flow will be studied and compared analytically. Lid driven cavity and the flow around an obstacle will also be simulated. In chapter 4, after the model has been validated, the LBM is used to simulate a complex situation to simulate the flow pattern in a lower plenum of a PWR reactor core, taking into account several simplifications, to understand the possibilities of the LBM implemented. To be able to perform chapter 3 and 4 an implementation in C++ has been developed.
Characterization & Evaluation of Mobility Metrics for Levy walk using MobiSim

In mobile adhoc networks, mobile node and its movement patterns has significant impact on network protocols & its performance. Therefore, it is required to analyze and understand node mobility specific to scenario such as disaster management, village area network, etc. and or in general. Mobility models are based on setting out different parameters related to node movements. These parameters are the starting location of mobile nodes, their movement direction, velocity range, speed changes over time. Various matrices can be evaluated to the mobility models. This synthetic data can be given as input to suitable network routing protocols for performance analysis. In this paper authors has evaluated performances matrices of various mobility models using MobiSim simulator. Further, levy walk mobility model’s metrics are compared with random families, group & geographic models and social model. Our observation results indicate that the levy walk features are important in characterizing the performance of mobile ad hoc network. General TermsMobility metric, Mobility Model, routing protocol, delay tolerant network (DTN) KeywordsLevy walk, temporal dependency, spatial dependency
Single-chip 622-Mb/s SDH/SONET framer, digital cross-connect and add/drop multiplexer solution

This paper presents a single-chip all-CMOS solution for 4/spl times/OC-3c, OC-12, and OC-12c synchronous digital hierarchy/synchronous optical network (SDH/SONET) framing with integrated serial line interfaces. Outstanding features of this chip are clock and data recovery and fulfillment of ITU-T and Bellcore jitter requirements for SDH/SONET systems, as well as the large range of functions offered. These functions include asynchronous transfer mode (ATM) and point-to-point protocol (PPP) support, as well as built-in native SDH/SONET functions such as digital cross-connect, add/drop multiplexing, and automatic protection switching. In addition, the chip is based on a new scalable modular architecture.
Quantitative measures of respiratory sinus arrhythmia for apnea detection

The authors computed the discrete Wigner distribution (DWD) of the instantaneous heart rate for six male subjects. The power of the ventilation frequency decreased during the segment of the experimental protocol that included no breathing. Parameters extracted from the time-frequency distribution corresponding to respiratory sinus arrhythmia may be useful in conjunction with a typical apnea detection algorithm that is prone to false alarms due to movement artifacts in the ventilation signal. <<ETX>>
Perceptual Perspective Taking and Action Recognition

Robots that operate in social environments need to be able to recognise and understand the actions of other robots, and humans, in order to facilitate learning through imitation and collaboration. The success of the simulation theory approach to action recognition and imitation relies on the ability to take the perspective of other people, so as to generate simulated actions from their point of view. In this paper, simulation of visual perception is used to re-create the visual egocentric sensory space and egocentric behaviour space of an observed agent, and through this increase the accuracy of action recognition. To demonstrate the approach, experiments are performed with a robot attributing perceptions to and recognising the actions of a second robot.
A Community Structure Enhancement-Based Community Detection Algorithm for Complex Networks

Community detection has been recognized as one of the most important tools to discover useful information hidden in complex networks which is usually hard to be obtained by simple observations. Existing community detection algorithms have demonstrated their effectiveness on a variety of complex networks, most of them, however, suffer from the scalability issue on complex networks without a clear community structure due to the challenge in the detection of ambiguous community structure. To address this issue, in this paper, we propose a community structure enhancement method, termed CSE, for community detection in complex networks. In the proposed CSE, the community structure of a network is enhanced by adding links between the nodes possibly belonging to the same community and reducing links between those belonging to different communities, thereby converting an ambiguous community structure into a structure much clearer than the original one. The experimental results show the superior performance of the proposed CSE over five state-of-the-art community detection algorithms on both synthetic benchmark networks and real-world networks, especially for those without a clear community structure.
Design methodology of high performance microprocessor using ultra-low threshold voltage CMOS

A new design methodology of high performance CMOS MPU that applies ultra-low VTH, which is necessary to improve circuit performance with low power supply voltage, is discussed. The multi-V/sub TH/, the IDDQ measurement with back bias control at low temperature and IDDQ technologies are applied in order to speed up, without increasing background leakage, IDDQ test. As a result, operation frequency of 64 bit MPU was successfully improved 340 MHz to 560 MHz without lowering IDDQ quality.
Distributed assignment algorithms for multi-hop packet-radio networks

Distributed dynamic channel assignment algorithms for a multihop packet radio network are introduced. The algorithms ensure conflict-free transmissions by the nodes of the network. The basic idea of the algorithms is to split the shared channel into a control segment and a transmission segment. The control segment is used to avoid conflicts among the nodes and to increase the utilization of the transmission segment. It is shown how these algorithms can be used to determine time-division multiaccess cycles with spatial reuse of the channel. <<ETX>>
MapEff: An Effective Graph Isomorphism Agorithm Based on the Discrete-Time Quantum Walk

Graph isomorphism is to determine whether two graphs have the same topological structure. It plays a significant role in areas of image matching, biochemistry, and information retrieval. Quantum walk, as a novel quantum computation model, has been employed to isomorphic mapping detection to optimize the time complexity compared with a classical computation model. However, these quantum-inspired algorithms do not perform well—and even cease to work—for graphs with inherent symmetry, such as regular graphs. By analyzing the impacts of graphs symmetry on isomorphism detection, we proposed an effective graph isomorphism algorithm (MapEff) based on the discrete-time quantum walk (DTQW) to improve the accuracy of isomorphic mapping detection, especially for regular graphs. With the help of auxiliary edges, this algorithm can distinguish the symmetric nodes efficiently and, thus, deduct the qualified isomorphic mapping by rounds of selections. The experiments tested on 1585 pairs of graphs demonstrated that our algorithm has a better performance compared with other state-of-the-art algorithms.
Sentiment Analysis of Movie Review Comments

This paper presents an empirical study of efficacy of machine learning techniques in classifying text messages by semantic meaning. We use movie review comments from popular social network Digg as our data set and classify text by subjectivity/objectivity and negative/positive attitude. We propose different approaches in extracting text features such as bag-of-words model, using large movie reviews corpus, restricting to adjectives and adverbs, handling negations, bounding word frequencies by a threshold, and using WordNet synonyms knowledge. We evaluate their effect on accuracy of four machine learning methods - Naive Bayes, Decision Trees, Maximum-Entropy, and K-Means clustering. We conclude our study with explanation of observed trends in accuracy rates and providing directions for future work.
Error control codes for digital recording systems

The author considers a concatenated coding scheme for digital recording systems. This concatenated scheme uses an inner code to detect errors during the storage/retrieval process and to erase the corresponding errors. The Reed-Solomon code is used as an outer code to correct the errors (undetected errors) and the erasures (detected errors) generated by the inner code. Several error detecting codes are considered as the inner code, and the corresponding block error probabilities and average net information that can be stored and retrieved without error in a unit time are computed to make performance comparisons. >
Using multi-agent systems to support workflow telecommunications applications

More and more, the organizations' requirements are competition, work process execution costs reduction and development of new products and services. To meet these requirements, workflow technology provides methodologies and software for the processing of activities. Our researches aim at providing a support for parallel workflows applications with new activities representation models and software architectures for performing the desired functionalities. We introduce an ontology for the representation of parallel workflows activities and a software agent architecture which meet the needs of these systems by encapsulating several agents in the same structure.
Analysis of some redundancy removal bandwidth compression techniques

Three redundancy removal bandwidth compression algorithms --the floating-aperture predictor, the zero-order interpolator, and the fan interpolator--are analyzed. Theoretical expressions are found for the mean and mean-square times between output samples of these devices when the input signal is a Markov process. These expressions are evaluated for the case in which the input is a first-order Gaussian Markov process, and the resulting output sampling rates and transmission bandwidths are compared to those required by a PCM system using uniform sampling and optimum linear filter interpolation. It is shown that, given sufficient a priori knowledge of the signal process, there is little to be gained by using these redundancy removal techniques in place of the PCM system. However, if the signal statistics are unknown, the use of these algorithms instead of PCM may provide a considerable bandwidth reduction.
Texture-based segmentation of road images

The extraction of road boundaries is one of the basic requirements for an autonomous navigation system to guide a vehicle on a road. The existent road detection approaches have some difficulties with the roads that have neither marked lanes nor different colors between their surface and the environment. Instead of gray value or color, texture can be an important feature in such images. Taking this as motivation, the authors developed a texture-based road segmentation approach. The textures in road images are usually strongly anisotropic with a dominant orientation. Such oriented textures can be described by their orientation field that consists of orientation and strength of texture anisotropy. The authors describe a new approach for estimating the orientation field of oriented textures based on the covariance matrix of the grey value changes in an image. As an image feature, the strength of texture anisotropy is then used in the unsupervised road segmentation in the initial phase as well as in the supervised road segmentation in subsequent phases. The authors' algorithm has been tested with real road image sequences.
Adaptive multiresolution Hermite-binomial filters for image edge and texture analysis

A new multiresolution image analysis approach using adaptive Hermite-Binomial filters is presented in this paper. According to the local image structural and textural properties, the analysis filter kernels are made adaptive both in their scales and orders. Applications of such an adaptive filtering approach, including image texture resolution analysis, multiscaled image edge curve estimation and adaptive edge-texture-based image compression, are then presented. Simulation results on image texture resolution and edge curve estimation as well as image compression are included.
Ecology of lawbreaking : effects of poaching on legally harvested wolf populations in human-dominated landscapes

Illegal killing of wolves (hereinafter ’wolf poaching’) in human-inhabited areas, where wolves are also legally harvested is a special case of wildlife crime. This doctoral thesis examines wolf poaching in Finland and Sweden from the ecological perspective. In the first paper, we examined the causes of mortality among collared Finnish wolves and the role of estimated poaching rates on population changes. The second paper related the likelihood of being poached to covariates expressing different dimensions of the wolf conflict at two spatial scales (territory and country level) in Finland. Third paper turns the focus to Sweden, where we examined the disappearances of adult wolves in relation to population size, legal harvest and inbreeding. The first two studies were done in collaboration with the Natural Resources Institute Finland (Luke) and the third with the Scandinavian Wolf Research Project SKANDULV. Poaching outnumbered other causes of death. Most poaching cases were unverified. Other causes of death were legal harvest, traffic and natural mortalities. Both populations had a relatively high number of wolves with unknown fates. Inbreeding was not related to the disappearances of adult wolves in Sweden. Remoteness to human inhabitation and the detectability of the wolves from the forest roads (road crossings by wolves) increased the likelihood of poaching in Finland. Adult wolves suffered high risk of poaching in both populations. Risk was highest in early spring in Finland. Larger population size increased and the number of legally harvested wolves decreased poaching in both countries. Poaching seemed to limit the study populations despite the management efforts that used legal hunting as a tool to increase tolerance towards wolves.
Introducing Tlhalosi ya Medi ya Setswana: The Design and Compilation of a Monolingual Setswana Dictionary

This paper presents the design elements of a recently published monolingual Setswana dictionary, Tlhalosi ya Medi ya Setswana (Otlogetswe 2012), the fourth main Setswana monolingual dictionary to appear. The paper situates the dictionary within a recent, but growing Setswana monolingual dic­tionary tradition whose roots may be traced to 1976 when M.L. A. Kgasa's Thanodi ya Setswana ya Dikole was published. However, before this date, the development of Setswana lexicography lies wholly in a bilingual dictionary tradition which dates back to the 1800s. The paper also discusses the different features of Tlhalosi ya Medi ya Setswana demonstrating that it possesses some dictionary features which are not found in previous Setswana dictionaries such as frequency information, phonemic transcription and extensive cross-refer­encing.
A simulation study of excitation coil design in single-sided mpi scanner for human body application

Magnetic particle imaging (MPI), a tomographic imaging method has been introduced for 3D imaging of human body with some potential applications such as magnetic hyperthermia and cancer imaging. It involves three important elements: tracer development using magnetic nanoparticles (MNPs), hardware realization (scanner using excitation and pickup coils), and image reconstruction optimization. Their combination will produce a high quality of image taken from any biological tissue in the human body based on the secondary magnetic field signal from the magnetized MNPs that are injected into human body. A homogeneous and adequate magnetic field strength from an excitation coil is needed to enhance the quality of the secondary signal. However, the complex surface topography of human body and physical properties of an excitation coil influence the strength and the homogeneity of the magnetic field generation at the MNPs. Therefore, this work focused on finding alternative design of excitation coil used in single sided MPI to produce up to 2 mT with high homogeneity of field distribution in the MNPs at the varied depth of 10 to 30 mm under the excitation coil. We proposed several designs with variation in physical properties and coil arrangement based on simulation study carried out by using Ansys Maxwell.
Effect of Different Curing Methods on Tensile bond Strength Soft Acrylic Liner to Heat-Cured Acrylic Resin

Aims: To evaluate the effect of different curing methods on tensile bond strength between soft acrylic liner and heat cured acrylic resin denture base. Materials and methods: Twenty four specimens were prepared form Vertex heat cured acrylic resin and divided into four groups: cured by water bath ,treated by monomer and cured by water bath ,cured by domestic microwave oven and treated by monomer and the last group cured by domestic microwave oven at same setting. Instron tensile testing machine was used for tensile bond strength test . Results: There is a significant differences between tensile bond strength of tested groups (p=0.001) for the different curing methods. Conclusions: The curing of soft acrylic liner by water bath had better tensile bond strength compared to microwave curing.
Topic Modeling-based Semantic Annotation of Place using Personal Behavior and Environmental Features

Understanding the semantics of the places is critical to improve emerging mobile services. In this paper, we present topic modeling-based place characterizing method to solve the problem of Dedicated Task 1 in Nokia Mobile Data Challenge: semantic annotation of place. We applies the principles of topic modeling to leverage the context of smartphone users to infer place categories. In the proposed approach, topics are considered as the semantic category of places (e.g., home, workplace, restaurant), places are modeled as documents, and the personal behavior pattern (e.g., mobility pattern, calling or messaging, phone-silent setting) and environmental features (e.g., number of radio beacons) are discretized into terms that populate each document. Our results show that the proposed method can classify places into 10 categories with an overall accuracy of 68%.
Thermal modeling with PC spreadsheets

It is shown how the structure of personal computer (PC) spreadsheet programs makes them an appropriate vehicle for use in multidimensional thermal modeling. The methodology of implementing spreadsheet solutions is presented, and memory requirements, iteration time, and the structure for parametric studies using PC spreadsheets are discussed. The energy balance approach to deriving the nodal equations in thermal modeling is then given in detail. An example showing how to implement a spreadsheet numerical solution for two-dimensional heat flow through a fin is presented. Heat flux, insulated, and convecting boundaries are illustrated. <<ETX>>
On Global Multicast Networks Using Satellite Unidirectional Links

IP Multicast network deployment is still lagging far behind the Internet. Meanwhile, satellite links have been considered as the links that can deliver multicast traffic efficiently because of their broadcast nature. This paper analyzes the deployment of global multicast networks using satellite unidirectional links assuming that the Internet's backbone networks become the UDL feeds, and regional and stub networks become the receivers. The main objective is to understand how and how much satellite unidirectional links benefit the deployment of global multicast networks. We simulate deployment scenarios on several instances of the Internet topology taken from the RouteViews BGP routing table snapshots, where each scenario consists of UDL feeds and receivers placement strategies. The performance of each deployment scenario is measured using the multicast link count, cumulative multicast out-degree, and the expected number of downstreams per UDL receiver. Our simulations demonstrate that such a deployment gives an advantage over deployment using the existing links on the Internet.