Miracle-dz/UniFAR-FTUs huggingface dataset:
On Visualization of Journals Reference Network Based on Force-Directed Layout Algorithms

Visualization of a journal network is to show the topology of journals reference in a graphic way so as to observe their interaction and importance. A reference network was drawn from the force-directed algorithm, and then compared to the degree centrality and betweenness centrality of the network, and analyzed with their compound influencing factor and core index by Pearson correlation coefficients at last. The results show that the force-directed layout algorithm can effectively reflect the referential status and relations of the library and information (LI) journals, and the importance of a journal can be determined from the layout in a visual and direct way.
Using Bounding-Surrounding Boxes Method for Fish Tracking in Real World Underwater Observation

The purpose of this paper is to present a rapid and efficient fish tracking method suitable for real world automatic underwater fish observation. Based on fish tracking, biologists are able to observe fish and their ecological environment. A distributed real-time underwater video stream system has been developed in Taiwan for large-scale, long-term ecological observation. In addition, not only does the system archive video data, but also incorporates data analysis. However, it is difficult to discriminate moving fish from drift water plants due to the severe drift of water plants caused by the water flow in real world underwater environments. Thus, fish tracking is complicated in unconstrained water. In order to overcome this problem, we propose a bounding-surrounding boxes method, which enables integration with state-of-the-art tracking methods for fish tracking in this paper. According to the method, fixing cameras must be used so that the moving fish are classified as foreground objects and are tracked, whereas the drifting water plants are classified as the background objects and are removed from the tracked objects. It enables the efficient, rapid removal of irrelevant information (non-fish objects) from large-scale fish video data. Experimental results show that the proposed method is able to achieve high accuracy.
Integration of human knowledge and machine knowledge by using fuzzy post adjustment: its performance in stock market timing prediction

: This paper proposes a fuzzy post adjustment (FPA) mechanism so that human knowledge and machine knowledge can be integrated more synergistically to improve the performance of expert systems. Machine knowledge means knowledge algorithmically derived from past instances. Human knowledge implies (1) expert knowledge judging the trends of external factors and (2) user knowledge representing users’personal views about information given by both expert knowledge and machine knowledge. We consider an expert system that uses the FPA mechanism to incorporate the effect of external factors effectively into its inference process. The goal of this expert system is stock market timing prediction, which is divided into four kinds: bull, edged-up, edged-down and bear. Empirical tests showed that the proposed FPA mechanism can improve the performance of an expert system significantly, even in a turbulent decision-making environment.
Controlled replication: reduce the capacity occupied by redundant replicas in tiled chip multiprocessors

The design of cache system for Chip Multiprocessor (CMP) face many challenges because future CMPs will have more cores and greater on-chip cache capacity. There are two base design schemes about L2 cache: private scheme in which each L2 slice is treated as a private L2 cache and shared scheme in which all L2 slices are treated as a large L2 cache shared by all cores. Private caches provide the lowest hit latency but reduce the total effective cache capacity. A shared L2 cache increases the effective cache capacity but has long hit latencies when data is on a remote tile. This paper present a new Controlled Replication (CR) policy to reduce the capacities occupied by redundant shared replicas. the new CR policy increases the effective capacity than victim replication scheme and has lower hit latency than shared scheme. We evaluate the various schemes using full-system simulation of parallel applications. Results show that CR reduces the average memory access latency of shared scheme by an average of 13%, providing better overall performance than victim replication and shared schemes.
Direct Distance, Route Distance, and Implied Temporal Distance:Effects on the Accessibility of Situation Model Components

Three experiments investigated whether the spatial distance effect in situation models (Rinck & Bower, 1995) is based on direct distance or on route distance. In all experiments, participants learned the layout of a building before they read narratives about a protagonist's motions and actions in this building. Reading times for target sentences referring to objects located in different rooms of the building were measured. Varying (a) the direct distance between the target object and the protagonist's current location (location room) and (b) the length of the route the protagonist walked from the target object to the location room yielded a direct distance effect (increased reading times with increased direct distance). Qualitatively, this effect was robust against manipulation of the layout learning procedure and the experimental narratives, although it decreased in magnitude. Assuming that variation of route length implies variation of the temporal distance between the protagonist leaving the target object and arriving in the location room, readers were then instructed to monitor the narrative time course. Under this instruction, a route distance effect was observed (increased reading times with increased route length). Results are discussed with regard to the organization of situation models.
Marketing the HyLiFe project

Reviews the experience of marketing a hybrid library project in an academic library, drawing on the mainstream literature of marketing. Comments on the provision of a quality product, promotion of the interfaces, selection of the right time for promotion, and the use of a variety of methods to attract users. Emphasis is placed on the need to involve all members of a project team, and to evaluate the marketing strategy. Feedback from the academic and LIS staff, and users, is recounted. Concludes with advice to information and library professionals to develop marketing concepts and techniques if services are to survive and prosper.
of the 23 rd Annual EMBS International Conference , October 25-28 , fstanbul , Turkey AN AUTOMATED DIFFERENTIAL BLOOD COUNT SYSTEM

While the early diagnosis of hematopoietic system disorders is very important in hematolgy, it is a highly complex and time consuming task. The early diagnosis requires a lot of patients to be followed-up by experts which, in general is infeasible because of the required number of experts. The differential blood counter (DBC) system that we have developed is an attempt to automate the task performed manually by experts in routine. In our system, the cells are segmented using active contour models (snakes and ballons), which are initialized using morphological operators. Shape based and texture based features are utilized for the classification task. Different classifiers such as k-nearest neighbors, learning vector quantization, multi-layer perceptron and support vector machine are employed. KeywordsDifferential blood counter, cell recognition, active contours, snakes, neural networks, support vector machine
Text Structuring by Composition and Decomposition of Segments

本研究では, 論説文の文章構造についてモデル化し, それに基づいた文章解析手法について論じる. 近年のインターネットや, 電子媒体の発達などにより大量の電子化された文書が個人の周囲にあふれてきているが, 大量の文書を高速に処理するためには, 記述されている領域に依存した知識を前提とせず, なるべく深い意味解析に立ち入らない「表層的」な処理により行なうことが求められる. ここで提案する手法での構造化は, 文末の表層的な情報によるモダリティの解析に依る. これを基に文章の論説モデルを定義する. 文章解析のトップダウン的アプローチとしては, 文章のセグメンテーションの手法を応用し, 評価関数の値の大きい箇所から分割していく. 文章解析のボトムアップ的アプローチとしては, 修辞関係に着目したセグメント統合により隣接していて関係が強いところから統合していく. ここで提案する手法は, 構造木の葉に近い部分をボトムアップ的解析で, 根に近い部分をトップダウン的解析で処理することにより, 一方の欠点を他方の利点で補う効果的なものである. 本研究のような対象においては, 解析結果を正解と不正解の2値に分けてしまうのでは評価としては不十分であり, 正解に近いものはそれなりに評価してやる必要がある. これについて, 構造木の根に近い部分は形式段落の位置に基づく客観的評価, 葉に近い部分は人間が解析したものとの比較, 全体的な構造に対しては個々の解析結果を人間が検討することにより本手法の評価を行う.
Comparison of Various Cloud Simulation tools available in Cloud Computing

2 Abstract: Cloud computing is sharing of computer hardware and software resources over the internet so that anyone who is connected to the internet can access it as a service in a seamless way. As we are moving more and more towards the application of this newly emerging technology, it is essential to study, evaluate and analyse the performance, security and other related problems that might be encountered in cloud computing. Since, it is not a feasible way to directly analyse the behaviour of cloud on such problems using the real hardware and software resources due to its high costs, modelling and simulation has become a very powerful tool to cope with these issues. In this paper, we review, analyse and compare features of the existing cloud computing modelling and simulation tools.
DCT-based just noticeable distortion for color image/video

In this paper, we design a DCT-based model for estimating spatio-temporal just noticeable distortion (JND) profiles of color image/video. Based on a mathematical model of measuring the base detection threshold for each DCT coefficient in the color component of color images, the masking adjustments for luminance component and chrominance components are utilized for estimating the spatial JND profiles. The above spatial JND profiles are extended to video signals by incorporating the proposed block-based temporal masking adjustment mainly considering local temporal statistics in luminance component. The model is verified by designing a subjective viewing test of evaluating the visual quality under the specified viewing condition. In the experiment, the test video is contaminated by the estimated JND profiles in the DCT domain and is compared with the original video. The simulation results show that the JNDcontaminated color video has nearly perceptual lossless visual quality and the model is able to estimate the JND profiles inherent in color videos.
Corrective input shaping for a flexible-joint manipulator

Presents a technique to develop shaped torque profiles for a two-link flexible-joint robot based on corrective finite-time Laplace transforms. Torque profiles are obtained for several intervals spanning the move time. Constraints are imposed so that the torque profiles are continuous between intervals. The resulting torque inputs minimize the influence of the time-varying natural frequencies of the manipulator as it moves along the specified trajectory while minimizing endpoint vibrations.
Hexane-1,6-diammonium bis­(dihydrogenarsenate): infinite anionic layers containing R66(24) loops

The title compound, C6H18N22+·2H2AsO4−, contains a network of doubly protonated centrosymmetric hexane-1,6-diammonium cations and dihydrogenarsenate anions. These species inter­act by way of cation-to-anion N—H⋯O and anion-to-anion O—H⋯O hydrogen bonds, the latter leading to infinite sheets of the H2AsO4− anions.
A novel framework for white blood cell segmentation based on stepwise rules and morphological features

This study proposes a new white blood cell (WBC) segmentation method using region merging scheme and GVF (Gradient Vector Flow) snake. WBC segmentation consists of two schemes; nuclei segmentation and cytoplasm segmentation. For nuclei segmentation, we create a probability map using probability density function estimated from samples of WBC's nuclei and crop the sub-images to include nucleus by using the fact that nuclei have salient color against background and red blood cells. Then, mean-shift clustering is performed for region segmentation and merging rules are applied to merge particle clusters to nucleus. For cytoplasm segmentation, a hybrid approach is proposed that combines the spatial characteristics of cytoplasm and GVF snakes to delineate the boundary of the region of interest. Unlike previous algorithms, the main contribution of this study is to improve the accuracy of WBC segmentation and reduce the computational time by cropping sub-images and applying different segmentation rules according to the parts of cell. The evaluation of proposed method was performed on five WBC types and it showed that the proposed algorithm produced accurate segmentation results in most types of WBCs.
Preference voting for sensor fusion

This paper compares preference voting techniques for multi-sensor decision support. The domain we are concerned with is enabling integration of visual information from diverse kinds of sensors. We define conditions imposed by: a) multi-source information fusion tasks, and b) models of multi-source decision-making processes. The results are directed toward two key problems: a) facilitating group decisions via computer support, and b) selection of related items from an image data base. We describe three methods for combining multiple assessments of image content from different sources. Two of these make use of diversity of knowledge possessed by contributers to the group decision. We assume a heterogeneous voter pool (individuals or programs), and also different credibilities for their inputs to the group decision. We present simulation results for the three decision-making methods.
Cilk: an efficient multithreaded runtime system

Cilk (pronounced “silk”) is a C-based runtime system for multi-threaded parallel programming. In this paper, we document the efficiency of the Cilk work-stealing scheduler, both empirically and analytically. We show that on real and synthetic applications, the “work” and “critical path” of a Cilk computation can be used to accurately model performance. Consequently, a Cilk programmer can focus on reducing the work and critical path of his computation, insulated from load balancing and other runtime scheduling issues. We also prove that for the class of “fully strict” (well-structured) programs, the Cilk scheduler achieves space, time and communication bounds all within a constant factor of optimal. The Cilk runtime system currently runs on the Connection Machine CM5 MPP, the Intel Paragon MPP, the Silicon Graphics Power Challenge SMP, and the MIT Phish network of workstations. Applications written in Cilk include protein folding, graphic rendering, backtrack search, and the *Socrates chess program, which won third prize in the 1994 ACM International Computer Chess Championship.
Quasi-Monte Carlo Gaussian Particle Filtering Acceleration Using CUDA

A CUDA accelerated Quasi-Monte Carlo Gaussian particle filter (QMC-GPF) is proposed to deal with real-time non-linear non-Gaussian problems. GPF is especially suitable for parallel implementation as a result of the elimination of resampling step. QMC-GPF is an efficient counterpart of GPF using QMC sampling method instead of MC. Since particles generated by QMC method provides the best-possible distribution in the sampling space, QMC-GPF can make more accurate estimation with the same number of particles compared with traditional particle filter. Experimental results show that our GPU implementation of QMC-GPF can achieve the maximum speedup ratio of 95 on NVIDIA GeForce GTX 460.
A Cross-Version Chord Labelling Approach for Exploring Harmonic Structures—A Case Study on Beethoven's Appassionata

Abstract In this paper, we present a case study on Beethoven's Appassionata in order to demonstrate how computer-based methods may assist a musicologist when performing harmonic analyses. As the main conceptual contribution, we introduce a simple yet powerful paradigm that exploits the availability of different versions (recorded performances, score) of the same piece of music to stabilize and enrich the chord labelling process. As a result, we obtain a version-independent representation of the chord labelling results on a musically meaningful time axis given in bars. Furthermore, a visualization of this representation reveals consistencies and inconsistencies in the labelling results across different versions. Using this visualization for performing a detailed harmonic analysis of the Appassionata, it turns out that the consistencies typically correspond to harmonically stable passages and thus are of musical relevance. This shows that our visualization can be used as a supportive tool for exploring harmonic structures and constitutes a source of inspiration for musicologists.
Integration of Principal-Component-Analysis and Streamline Information for the History Matching of Channelized Reservoirs

Although Principal Component Analysis (PCA) has been widely applied to effectively reduce the number of parameters characterizing a reservoir, its disadvantages are well recognized by researchers. First, PCA may distort the probability distribution function (PDF) of the original model, especially for non-Gaussian properties such as facies indicator or permeability field of a fluvial reservoir. Second, it smears the boundaries between different facies. Therefore, the models reconstructed by PCA are generally unacceptable for geologists. A workflow is proposed to seamlessly integrate Cumulative-Distribution-Function-based PCA (CDF-PCA) and streamline information for assisted-HM on a two-facies channelized reservoir. The CDF-PCA is developed to reconstruct reservoir models using only a few hundred of principal components. It inherits the advantage of PCA to capture the main features or trends of spatial correlations among properties, and more importantly, it can properly correct the smoothing effect of PCA. Integer variables such as facies indicators are regenerated by truncating their corresponding PCA results with thresholds that honor the fraction of each facies at first, and then real variables such as permeability and porosity are regenerated by mapping their corresponding PCA results to new values according to the CDF curves of different properties in different facies. Therefore, the models reconstructed by CDF-PCA preserve both geological (facies fraction) and geostatistical (non-Gaussian distribution with multi-peaks) characteristics of their original or prior models. Our preliminary results indicate that the history-matched model using the CDF-PCA alone may not satisfy the requirement of geologists, e.g., some channels may become disconnected during history-matching. Therefore, we propose a method of combining CDF-PCA together with streamline information. Because velocity of the tracer in the streamline provides connectivity information between injectors and producers, it enhances channel connectivity without over-correction on cell-based permeability during the process of history matching. The CDF-PCA method is applied to a real-field case with three facies to quantify the quality of the models reconstructed. The history matching workflow is applied to a synthetic case. Our results show that the geological facies, reservoir properties, and production forecasts of models reconstructed with CDF-PCA are well consistent with those of the original models. The integrated HM workflow of CDF-PCA with streamline information generates reservoir models that honor production history with minimal compromise of geological realism.
Mechanisms of Metal-Catalyzed Hydrophosphination of Alkenes and Alkynes

The elementary steps in proposed mechanisms for the hydrophosphination of alkenes or alkynes catalyzed by metal complexes are examined carefully with respect to the various potential roles of the metal center. This provides a context for understanding the unusually wide breadth of unsaturated substrates that participate in a P–C bond forming process mediated by a half-sandwich ruthenium system.
From conceptual to perceptual reality: trust in digital repositories

Purpose – Digital repositories offer a great benefit to people in a variety of settings, especially since an ever‐increasing amount of information is being gathered, transmitted, and preserved through various technologies. The purpose of this paper is to underscore trust as a critical element in the infrastructure of digital repositories and to look more closely at trusted digital repositories from the perspective of the user communities for which they are designed.Design/methodology/approach – The paper looks to the literature in reviewing the concept of trust and its role in an online environment. Attention is then paid to trusted digital repositories, with close examination of the user communities’ perceptions of trust and the impact of these perceptions. Special attention is given to users within the academic community.Findings – While digital repositories may be trustworthy because of adherence to technological standards, accepted practices, and mechanisms for authenticating the authorship and accura.
Multi-objective optimisation of distributed active magnetic bearing controllers

A non-linear model of a Rolls-Royce turbo machine supported by active magnetic bearings (AMBs) is presented. A multi-objective genetic algorithm (MOGA) is used as a search and optimisation tool for designing distributed AMB controllers. The MOGA is used to select the controller structure as well as its parameters. The objective domain is comprised of measures of the controllers' dynamic performance in terms of disturbance and noise rejection, its efficiency and complexity. The optimisation is performed directly on the non-linear model to ensure that realistic controllers are produced.
Logophoric Marking and Represented Speech in African Languages as Evidential Hedging Strategies

Logophoric markers are common in two African language families, Niger–Congo and Nilo-Saharan. In addition, they are found in neighbouring Afroasiatic languages. Similar markers have been observed, for example, for Indo-European languages or Japanese. In contrast with a widespread view, I claim that the status of logophoric markers in these African languages differs from that in the latter languages in a number of respects. This, I argue, has important consequences for the way in which logophoricity operates in these languages.
Predicting finished product properties in mining industry from pre-extraction data

An essential requirement of product quality control in the mining industry is to be able to reliably predict key quality properties of finished product from the data available before the extraction of the ore. From a production viewpoint, the unit of data collection is generally the input and output data set for each shift of crusher production but could be any period where mine pre-crusher data can be reliably matched with product data. Linear regression models can be used to predict crush grades from blast grades, even where the crush material is blended from multiple sources or pits for each of which differing regression models might apply. The best model for any application will be a balance between required predictability, available data and the tolerance of the business for complex models. The regression modelling approach has several advantages over the classic method of run of mine crusher trials. The models can use any predictor variable such as grade, geotype and in situ density provided the pre-extraction data can be reliably matched with post-crusher data and is significant as a predictor. The models have been used extensively in the generation of the daily crusher plan with the aim of maintaining finished product grade. This approach has also been used associated with exploration drilling and long term planning. It is acknowledged that there are inherent problems in fitting lump and fines grade to a linear model. However, these problems are minor when such information is used for interpolation within the window spanned by the shift blend records used to produce the model. This paper discusses some of the issues limiting linear regression models in this application, and suggests methods enabling consistent models to be formulated.