Miracle-dz/UniFAR-FTUs huggingface dataset:
Project No.: 141803-LLP-2008-AT-GRUNDTVIG-GMP Project Acronym: NEW VIEW Project Title: Changing Methods in Teaching Migrants

This document contains refined descriptions of the HIDENETS test-bed implementations, which are used to show the feasibility of selected parts of the HIDENETS solutions when implemented on COTS components and to assess their impact on dependability and performance in an experimental laboratory environment. In order to focus on selected essential HIDENETS functionalities and to show their benefits when applied to specific applications and scenarios, four focus areas have been identified which lead to the definition of the following four test-beds:  A complex resilient application developed on top of the HIDENETS solutions using modelbased development methods. It involves both the infrastructure and the ad-hoc domain. Moreover, it illustrates the feasibility of using HIDENETS concepts, methods and middleware for high availability applications, like SAForum [1] Application Interface Specification does over the fixed infrastructure. The interoperability of the ad-hoc and fixed infrastructure is illustrated as well.  A platooning application that is used as a proof-of-concept for the ability to detect and react to timing faults, to assure safety and to handle certain malicious intrusions.  A distributed black-box application with the crucial middleware functionality that provides major dependability benefits in this application setting.  Resilient communication protocols for ad-hoc (car-to-car) networks and their impact on higher-layers. These four test-beds together represent a collection of integrated components and cover all relevant HIDENETS aspects and may also be used to show additional benefits from various combinations of HIDENETS middleware blocks. This document concludes the individual evaluation process of these set-ups; the demo scenarios, the experiments and measurements, as well as introducing the characteristics of the Topology Emulation Tool that serves for reproducing dynamic topologies. Keyword list: HIDENETS, dependability, communication systems, ad-hoc networks, wireless, middleware solutions, car-to-car communication, applications, COTS components, test-beds, evaluation. Page 3 of 60 IST-FP6-STREP-26979 / HIDENETS Restricted
Prolonged seasonal drought events over northern China and their possible causes

The features and possible causes of prolonged seasonal drought (PSD) events over northern China (NC) during 1960–2012 are explored in this study using the multi‐scale standardized precipitation evapotranspiration index (SPEI). The results show that PSD events (i.e., drought events with a timescale of 9 months or less) have had a relatively high probability of occurrence from spring to autumn during the past five decades. The results of the empirical orthogonal function (EOF) analysis show that the leading mode of the SPEI09 in autumn reflects a broad pattern of drought in NC, which confirms the existence of the PSD events. Furthermore, we conclude that two factors, teleconnection patterns in the mid‐latitudes of Eurasia and transitions from La Niña to El Niño, are mainly responsible for the PSD events. On the one hand, the associated teleconnection patterns in the upper‐level troposphere show an Eurasian (EU)‐like pattern in spring, the Silk Road (SR) pattern or the circumglobal teleconnection (CGT) pattern in summer, and a Scandinavia (SCA)‐like pattern in autumn, respectively. Associated with these teleconnection patterns, descending anomalies are detected in the whole atmosphere over NC in all seasons. On the other hand, the transition from La Niña (winter) to El Niño (the following autumn) also exerts effects on the PSD through modulating the Walker circulation and the meridional vertical circulation along the coast of East Asia. However, this process is more effective in spring relative to summer and autumn. In addition, physical connections likely exist among these factors, and their combined effects, together with the insufficient moisture supply, regulate the PSD events over NC.
Low Jitter ADPLL based Clock Generator for High Speed SoC Applications

Phase Locked Loop (ADPLL) suitable for high speed SoC applications is presented in this paper. The ADPLL is designed using standard cells and described by Hardware Description Language (HDL). The ADPLL implemented in a 90 nm CMOS process can operate from 10 to 200 MHz and achieve worst case frequency acquisition in 14 reference clock cycles. The simulation result shows that PLL has cycle to cycle jitter of 164 ps and period jitter of 100 ps at 100MHz. Since the digitally controlled oscillator (DCO) can achieve both high resolution and wide frequency range, it can meet the demands of system-level integration. The proposed ADPLL can easily be ported to different processes in a short time. Thus, it can reduce the design time and design complexity of the ADPLL, making it very suitable for System-on-Chip (SoC) applications.
Performance of Naïve Bayes Classifier – Multinomial Model on Different Categories of Documents

Automatic sorting of documents is progressively becoming vital because manual handling and organization of documents is not a feasible solution as it can be very time consuming given the number of documents. One of the machine learning applications – text classification which is employed for document classification is explored in this paper. Generative learning algorithm – Naïve Bayes classifier is discussed in this paper. Documents from the 20 Newsgroups dataset are distributed in two groups. Group 1 consists of relatively unrelated two categories of documents and group 2 consists of relatively similar two categories of documents. Naïve Bayes classifier Multinomial model is implemented to perform classification on both groups and it is observed that Accuracy can be improved with increasing the training set size for both the groups and Classification accuracy is higher for category of documents with lower similarity.
Deterministic (Δ + 1)-Coloring in Sublinear (in Δ) Time in Static, Dynamic, and Faulty Networks

We study the distributed (Δ + 1)-vertex-coloring and (2Δ − 1)-edge-coloring problems. These problems are among the most important and intensively studied problems in distributed computing. Despite very intensive research in the last 30 years, no deterministic algorithms for these problems with sublinear (in Δ) time have been known so far. Moreover, for more restricted scenarios and some related problems there are lower bounds of Ω(Δ) [Göös et al. 2014; Hirvonen and Suomela 2012; Kuhn and Wattenhofer 2006; Szegedy and Vishwanathan 1993]. The question of the possibility to devise algorithms that overcome this challenging barrier is one of the most fundamental questions in distributed symmetry breaking [Barenboim and Elkin 2009, 2011; Göös et al. 2014; Hirvonen and Suomela 2012; Kuhn 2009; Panconesi and Rizzi 2001]. In this article, we settle this question for (Δ + 1)-vertex-coloring and (2Δ − 1)-edge-coloring by devising deterministic algorithms that require O(Δ3/4log Δ + log*n) time in the static, dynamic, and faulty settings. (The term log*n is unavoidable in view of the lower bound of Linial [1987].) Moreover, for (1 + o(1))Δ-vertex-coloring and (2 + o(1))Δ-edge-coloring we devise algorithms with Õ(√Δ + log* n) deterministic time. This is roughly a quadratic improvement comparing to the state-of-the-art that requires O(Δ + log*n) time [Barenboim and Elkin 2009; Kuhn 2009; Panconesi and Rizzi 2001]. Our results are actually more general than that since they apply also to a variant of the list-coloring problem that generalizes ordinary coloring. Our results are obtained using a novel technique for coloring partially colored graphs (also known as fixing). We partition the uncolored parts into a small number of subgraphs with certain helpful properties. Then we color these subgraphs gradually using a technique that employs constructions of polynomials in a novel way. Our construction is inspired by the algorithm of Linial [1987] for ordinary O(Δ2)-coloring. However, it is a more sophisticated construction that differs from that of Linial [1987] in several important respects. These new insights in using systems of polynomials allow us to significantly speed up the O(Δ)-coloring algorithms. Moreover, they allow us to devise algorithms with the same running time also in the more complicated settings of dynamic and faulty networks.
Polyphase adaptive filter banks for fingerprint image compression

Perfect reconstruction adaptive polyphase filter banks: We propose an adaptive subband decomposition structure for compressing fingerprint images [1]. The filter bank is a polyphase structure [2, 3] in which one of the subband components is adaptively predicted from the other subband component. The resulting subsignals are then quantised using embedded zerotree type coders [4, 5]. The adaptive prediction concept is combined with the lifting idea [2] and the resulting adaptive filter bank structure is shown in Fig. 1. In this Figure, signal x2(n) is predicted from x1(n). Since the polyphase components x1(n) and x2(n) are highly correlated, the prediction is very effective at removing the redundant information in x2(n). In our experiments, we use an LMS-type algorithm for updating the coefficients of the prediction filter which adapts its coefficients to minimise the variance of x2(n).
International Journal of Advanced Research in Computer Science and Software Engineering

: Recommender systems play an important role in filtering and customizing the desired information. Recommender system are divided into 3 categories i.e collaborative filtering , content-based filtering, and hybrid filtering and they are the most adopted techniques being utilized in recommender systems. In this paper describes about various limitations of current recommendation methods such as cold-start problem ,Gray-sheep problem and discuss possible extensions that can improve recommendation capabilities in range of applications extensions such as, improvement of understanding of users and items incorporation of the contextual information into the recommendation process, support for multi-criteria ratings. The paper consist the survey of various hybrid filtering to overcome the drawbacks and extensions of a forementioned techniques .
20 IJAEMS-SEP-2016-18

Text Mining is the technique that helps users to find out useful information from a large amount of text documents on the web or database. Most popular text mining and classification methods have adopted termbased approaches. The term based approaches and the pattern-based method describing user preferences. This review paper analyse how the text mining work on the three level i.e sentence level, document level and feature level. In this paper we review the related work which is previously done. This paper also demonstrated that what are the problems arise while doing text mining done at the feature level. This paper presents the technique to text mining for the compound sentences. Keywords—Text Mining, Sentiment Analysis, Sentiment level, Compound Sentences, Feature Analysis.
AIS Electronic Library (AISeL)

This study is based on the proposition that successful design of online discussion support systems (ODSS) to facilitate the education process is contingent upon several factors. These include amongst others factors related to ability to support common goal achievement, effective teamwork, orientation towards problem solving capability and the ability to promote a sense of group identity or belonging amongst the participants of such systems. The utilization of ODSS is relevant to both the corporate and academic worlds alike. This study uses the example of a Wiki (a group collaboration tool, built on server software technology) to understand the factors that need to be given consideration in designing ODSS to support the goals of the knowledge management course at our institution. The findings of this study indicates that ODSS that are designed to support the need for collaborative learning coupled with sufficient level of social presence within the system, enhances the end user perception of such systems in terms of its usefulness.
Multi-Objective Omega-Regular Reinforcement Learning

The expanding role of reinforcement learning (RL) in safety-critical system design has promoted �-automata as a way to express learning requirementsÐoften non-MarkovianÐwith greater ease of expression and interpretation than scalar reward signals. However, real-world sequential decision making situations often involve multiple, potentially conlicting, objectives. Two dominant approaches to express relative preferences over multiple objectives are: 1) weighted preference, where the decision maker provides scalar weights for various objectives, and 2) lexicographic preference, where the decision maker provides an order over the objectives such that any amount of satisfaction of a higher-ordered objective is preferable to any amount of a lower-ordered one. In this paper we study and develop RL algorithms to compute optimal strategies in Markov decision processes against multiple �-regular objectives under weighted and lexicographic preferences. We provide a translation from multiple �-regular objectives to a scalar reward signal that is both faithful (maximising reward means maximising probability of achieving the objectives under the corresponding preference) and efective (RL quickly converges to optimal strategies). We have implemented the translations in a formal reinforcement learning toolMungojerrie and we present an experimental evaluation of our technique on benchmark learning problems.
Magneto-optical spectroscopy of epitaxial graphene

In this thesis we experimentally study the infrared magneto-optical properties of single and multilayer epitaxial graphene grown on a SiC substrate. Which is a promising material due to the scalability of the production method. However, graphene grown on SiC is also very complex, due to grain boundaries, wrinkles and in the case of multilayer graphene a twisted stacking. The optical experiments reveal a giant Faraday rotation in highly doped single layer graphene of several degrees. The spectra also show clear evidence for plasmonic and magnetoplasmonic excitations. From the transmission and Faraday rotation spectra the optical conductivity and a.c. Hall conductivity – the optical analogue of the d.c. Hall conductivity – are obtained, respectively.
AIR-BORNE MICROORGANISM POPULATIONS IN FOOD PACKAGING AREAS1,2

Summary A slit air-sampler was used to ascertain the numbers of air-borne bacteria, yeasts and molds in dairy product packaging areas. The mean air-borne bacteria count for all food packaging areas investigated was below 6 per ft3. The highest mean count for a daily sampling period was just over 10 per ft3. The mean count for air-borne yeasts was 2 per ft3 for all samples collected. About 17% of all counts were less than 1 yeast per 5 ft3. The mean air-borne mold count for all samples was over 12 per ft3 with nearly 10% of the counts over 20 per ft3. A mean count in cottage cheese packaging was over 22 mold per ft3 while mean counts for individual sampling days revealed populations as high as 67 mold per ft3. There were significant day to day variations in all areas and standard deviations of daily sampling periods indicated significant variations within 4-hr test periods. Some degree of correlation between worker activity and air-borne counts was indicated by the results. However, it is evident that othe.
Fundamentação teórica dos sistemas de amostragem de solo de acordo com a variabilidade de características químicas.

Due to high variability of chemical characteristics, soil sampling is one of the major sources of error in a correction and fertilization program. This critical review aimed to analyze the theoretical foundations that define the soil sampling types used for different cropping systems, assessing the degree of influence of variations in chemical characteristics conferred by each situation. Confronting information from the studies reviewed, we determined that the range of spatial dependence of soil chemical properties is dependent on the distance between previous sampling points. Land stratification in sampling units reduces the occurrence of spatial dependence caused by environmental factors associated with long-distance variations (macro-dependence), but does not prevent the occurrence of spatial dependence at short distances in positions within the stratum itself (meso-dependence). The option to use composite sample analysis from homogeneous field (average fertility) or the soil fertility maps for recommendation of lime and fertilizer, is primarily due to economic issues. The collection of single samples of small volume to calculate local averages, or the formation of composite samples from these “single samples” tends to increase the effectiveness and reliability of fertility maps.
Semi-Supervised Discriminant Analysis via Spectral Transduction

Linear Discriminant Analysis (LDA) is a popular method for dimensionality reduction and classification. In real-world applications when there is no sufficient labeled data, LDA suffers from serious performance drop or even fails to work. In this paper, we propose a novel method called Spectral Transduction Semi-Supervised Discriminant Analysis (STSDA), which can alleviate such problem by utilizing both labeled and unlabeled data. Our method takes into consideration both label augmenting and local structure preserving. First, we formulate label transduction with labeled and unlabeled data as a constrained convex optimization problem and solve it efficiently with a closed-form solution by using orthogonal projector matrices. Then, unlabeled data with reliable class estimations are selected with a balanced strategy to augment the original labeled data set. At last, LDA with manifold regularization is performed. Experimental results on face recognition demonstrate the effectiveness of our proposed method.
Wish Branches: Enabling Adaptive and Aggressive Predicated Execution

We propose a mechanism in which the compiler generates code that can be executed either as predicated code or nonpredicated code. The compiler-generated code is the same as predicated code, except the predicated conditional branches are not removed - they are left intact in the program code. These conditional branches are called wish branches. The goal of wish branches is to use predicated execution for hard-to-predict dynamic branches, and branch prediction for easy-to-predict dynamic branches, thereby obtaining the best of both worlds. Wish loops, one class of wish branches, use predication to reduce the misprediction penalty for hard-to-predict backward (loop) branches
Peramalan Curah Hujan Dengan Pendekatan Seasonal Autoregressive Integrated Moving Average (Sarima)

Kota Ambon merupakan ibukota Provinsi Maluku yang berada di kawasan timur Indonesia. Kota Ambon memiliki intensitas curah hujan yang relatif tinggi dan cenderung berubah-ubah setiap tahun. Informasi tentang curah hujan sangat penting bagi masyarakat Kota Ambon untuk merencanakan kehidupan mereka dan deteksi dini terhadap bencana yang diakibatkan oleh curah hujan ekstrim. Tujuan penelitian ini adalah menentukan model terbaik untuk curah hujan bulanan di Kota Ambon dan meramalkan curah hujan untuk beberapa periode ke depan. Data yang digunakan adalah data curah hujan bulanan di kota Ambon pada periode Januari 2005 – Desember 2013 yang berasal dari hasil pengamatan Stasiun Geofisika – BMKG Ambon. Penelitian ini menggunakan analisis time series yakni metode Box-Jenkins untuk pemodelan SARIMA. Hasil yang diperoleh adalah model ( )( ) ( ) yang memiliki nilai SSR, AIC, SBC/BIC, dan terkecil.
Makara Estuary monitoring: Effects-based monitoring within a degraded, yet dynamic, coastal environment

Makara Estuary is the southernmost estuary on the north-western coast of Wellington, New Zealand. The steep catchment surrounding Makara Estuary is predominantly utilised for farming and forestry. Monitoring of the benthic ecology, sedimentation rates and identifying regions of erosion within the Makara Estuary has been undertaken over the last 3 years, as part of resource consent condition monitoring for Meridian Energy's Mill Creek wind farm development. Baseline pre-construction surveys at 3 sampling locations within the estuary revealed a degraded estuary characterised by anoxic surficial sediments, together with low diversity and abundance of infanual and epifaunal organisms. Various sites of active erosion both within and upstream of the estuary proper were also apparent, making effects-based assessments difficult. Subsequent monitoring of the estuary has revealed a suite of stressors that are negatively impacting the ecological integrity and functioning of the estuary. Many of these are associated with poor land-use practices; although, natural disturbance events associated with large-scale macroalgal deposition also impacts the estuary. The rate of sedimentation has been estimated to be around 14 mm/yr, which while relatively high, is in line with estuaries that have forestry production in their catchment. While infaunal community composition and the abundance of several polychaete species changed (increased and decreased) over the course of monitoring and differences between pre-construction and construction-phase surveys were apparent, there was no completing evidence that wind turbine construction has significantly altered benthic community composition or accelerated rates of sedimentation within the estuary. In this paper we present results from biological and physical monitoring, discuss the difficulties of undertaking effects-based monitoring in a degraded, yet dynamic, estuarine environment and outline ways in which the impacts to the estuary could be reduced with focused initiatives. Outside of the context of resource consent monitoring, it is anticipated that results of benthic and physical sampling will provide important information on the on-going state of the Makara Estuary to regulatory authorities and the wider Makara community.
Variability in Contrail Ice Nucleation and Its Dependence on Soot Number Emissions

Contrail ice nucleation is mainly controlled by aircraft emissions and the atmospheric state. The nucleation rate can have a strong impact on microphysical processes, optical properties, lifetime, and, therefore, on the climate impact of contrail cirrus. We study contrail ice crystal formation offline for specified atmospheric conditions and its spatial variability in a global climate model. Assuming the standard atmosphere, above around 270 hPa (10 km) contrail ice nucleation is mainly controlled by aircraft soot number emissions and below additionally by atmospheric temperature. Parameterizing contrail ice nucleation in a global climate model, we find that in the northern extratropics contrails form frequently far away from their formation threshold. For current soot number emissions and in case of contrail formation, 90% of emitted soot particles form on average ice crystals around the cruise level and more than 70% between cruise altitudes and 300 hPa. The number of nucleated ice crystals in the extratropics decreases nearly at the same rate as soot number emissions. In contrast, in the tropics around cruise altitudes approximately 60% of contrails develop close to their formation threshold so that on average only about 50% of emitted soot particles can form ice crystals. Below, contrail formation occurs rarely and ice nucleation is reduced more strongly. Of the main air traffic areas, contrail ice nucleation is significantly limited by the atmospheric state over eastern Asia and over the southeastern United States. This limitation is enhanced during the summer months.