Miracle-dz/UniFAR-FTUs huggingface dataset:
Hydrothermal Fluid Flow in a Structurally-controlled Basin, Ngakuru Graben, Taupo Rift, New Zealand

The Ngakuru Graben lies in the northern Taupo Rift, New Zealand and hosts a number of major geothermal areas on its western and eastern margins – including Te Kopia, Waikite, Orakeikorako, Atiamuri and Horohoro. As well as these active geothermal systems, areas of extinct hydrothermal activity (i.e. silica sinter, hydrothermal eruption deposits and hydrothermally-altered tephras and lake sediments) are also found at the margins of the graben, including its northern and southern terminations. The graben contains four major active faults (or fault systems) – the Ngakuru, Maleme, Whirinaki and Paeroa. These not only define the graben structurally but play host to its hydrological system which, because of the deep interconnectedness of the faults, can behave in a complex way when there are significant, sudden changes in the fault permeabilities. Such changes are expected to have implications for the location and longevity of past geothermal activity in the graben, as interpreted from fossil sinter formations and other manifestations. A numerical model of this system has been developed using the fluid flow code TOUGH2. The model represents the major geological features of the area and a recently inferred deep heat source to the east of the Paeroa fault. We explore models where there are major perturbations to the permeabilities of the faults. An increase in fault permeability is assumed to be associated with a fault rupture, while a permeability reduction to ‘background’ values can occur as a result of (unmodelled) chemical or geological processes. The key result from the modelling is that the flows in an inter-connected system of faults are complicated, and fluid pathways can be altered by changes in the fault permeabilities. More specifically, despite significant changes in the flows immediately following a rupture, even large increases in fault permeabilities do not lead to major changes such as the cutoff or reversal of flow in the faults on ~100 year timescales. Conversely, we identify a model where a reduction in fault permeability leads to drastic changes in the flows, and these have important consequences for the fossil sinter deposits found at various locations within the Ngakuru graben.
Allostratigraphy of Punung Paleoreef based on Lithofacies Distributions, Jlubang Area, Pacitan Region-East Java

Lithologically, Punung Formation as a paleoreef comprises coral boundstone rhodolith, algal grainstone, algal packstone, algal wackestone, algal floatstone, and algal rudstone. It is dominated by red algae and had formed a fringing reef in a warmly shallow marine environment. They built seven phases of paleoreef complex. Each paleoreef complex has been bounded by a local unconformity that is characterized by caliche. The Jaten Formation has becomes the base of the Punung paleoreef which build up by an angular unconformity contact on uppermost part. It consists of tuffaceous wacky sandstone with silicate cement. The formation as the reef base indicates two factors. The external factor because of the decrease of a volcanic activity and the internal one was caused by the depositional environment of the Jaten Formation becoming shallower. The subsurface runoff systems in many caves (like: Jaran cave and others) have the same southward direction to the dipping direction of algal grainstone lithofacies of Punung Formation. The vertical caves are formed by a jointing system.
Automatic License Plate Detection and Recognition in Thailand

(1)普通乗用車用 大きさは15cm×34cmで、普通乗用車などに用いられる。 プレート中央部にはタイ文字2文字と数字4桁からなる 1. 緒 言 近年、タイをはじめとする東南アジア地域では急速な都 市化およびモータリゼーションの進展により、慢性的な道 路渋滞が深刻な問題となっている。 この問題を解決するた めの一つの手段として、画像センサなど各種センサによる 適切な情報収集と、その情報に基づく適切な交通管制が挙 げられる。 センサによる交通情報の収集には多くの手段があるが、 それらの中でも画像センサによるナンバープレート認識シ ステム(License Plate Recognition: LPR)には車両側に特 別なデバイスを装着することなく車両の特定が可能となる ため、旅行時間計測などにきわめて有用である。 このた め、ナンバープレートの検出・認識の手法として過去に多 くの手法が提案されている。 しかし、これらの手法は特定 の様式やラテン文字や日本語など特定の文字体系を前提と したものが多く、タイ文字など独自の文字を使用するアジ ア地域での適用は困難である。 筆者らは様々な様式のナンバープレートを取り扱える新 たな検出・認識手法を開発した。 この手法は特定の様式や 特定の文字体系を前提としていない。 本論文ではこの手法 をタイのナンバープレートに対して適用した検討結果を報 告する(1)。 車両側に特別なデバイスを装着することなく車両の特定が可能なナンバープレート認識システム(LPR)は旅行時間計測など交通管 制のための重要な情報収集手段である。 急速なモータリゼーションの進展が進むタイでは慢性的な道路渋滞が深刻な問題となっており、 LPR の導入は一つの解決策になりうるが、独自のタイ文字の使用など技術的なハードルが高い。 本論文で提案するのは、HOG ベース の Bag of Features に基づくプレート検出方式と HOG 特徴に基づく文字認識方式であり、これらの問題解決にきわめて有効である。 タ イで収集した画像による実験の結果、ナンバープレートの検出率は 94.6 %、検出できたナンバープレートに対する認識正解率は 92.0 %であった。 これらの結果により提案手法はタイ国のナンバープレートの検出・認識に有効であることが示されたが、交通管制へ の適用のためにはさらなる性能向上が必要である。
High Accuracy Measurement with 360 ° and Giga-pixel Panorama Images

Panoramic cameras with Linear Array CCD have been originally built for purely imaging purposes, but they also have a high potential for use in high accuracy measurement applications. They have the advantage of high information content with giga-pixel format size and 360° field of view. Viewing 360° images is a natural way for the human being to perceive an environment. The ability to process data directly from 360° high resolution panorama RGB images makes the workflow extremely intuitive, natural and realistic. FODIS Measure3D is a combination of a fast panorama camera and innovative software packages for the extraction of 3D information from panoramic imagery. We present the sensor model for FODIS panorama camera and the results of selfcalibration, which indicate a subpixel accuracy level. We demonstrate the systems’ accuracy of 1mm in 10 meters in 3D point positioning, using a 3D testfield with a free network adjustment. With FODIS Measure3D we do have additional powerful sensors for image recording and efficient 3D object modeling.
A Wireless Sensor Network Ad-Hoc Designed as Anti-Theft Alarm System for Photovoltaic Panels

Photovoltaic (PV) systems have attracted increasing attention in last years as well as Wireless Sensor Networks (WSNs), which have been used in many application fields. In PV plants, especially in ground installations, a lot of thefts and damages occur due to the still high cost of the modules. A new experimental WSN ad-hoc has been designed to be an anti-theft alarm system. Each node of the network is directly installed under each PV string and it is equipped with an accelerometer sensor capable to detect a minimum displacement of the panel from its steady position. The WSN presents a star topology: a master node cyclically interrogates the slave nodes through RF link. It collects all the nodes responses and communicates though a RS-232 interface with a control PC checking the network status. When a slave node detects an alarm, continuous messages are sent to the control PC which turns on all the alarm signaling systems. The control PC is equipped with an open source operative system and software and provides for SMS, e-mail and sound-light signaling in case of alarm. It also communicates with a remote server where all the WSN information is stored. A first low cost experimental WSN has been already installed and it is working properly.
airness in examination timetabling : Student preferences and xtended formulations

Variations of the examination timetabling problem have been investigated by the research community for more than two decades. The common characteristic between all problems is the fact that the definitions and datasets used all originate from actual educational institutions, particularly universities, including specific examination criteria and the students involved. Although much has been achieved and published on the state-of-the-art problem modelling and optimisation, a lack of attention has been focussed on the students involved in the process. This work presents and utilises the results of an extensive survey seeking student preferences with regard to their individual examination timetables, with the aim of producing solutions which satisfy these preferences while still also satisfying all existing benchmark considerations. The study reveals one of the main concerns relates to fairness within the student’s cohort; i.e. a student considers fairness with respect to the examination timetables of their immediate peers, as highly important. Considerations such as providing an equitable distribution of preparation time between all student cohort examinations, not just a majority, are used to form a measure of fairness. In order to satisfy this requirement, we propose an extension to the state-of-the-art examination timetabling problem models widely used in the scientific literature. Fairness is introduced as a new objective in addition to the standard objectives, creating a multi-objective problem. Several real-world examination data models are extended and the benchmarks for each are used in experimentation to determine the effectiveness of a multi-stage multi-objective approach based on weighted Tchebyceff scalarisation in improving fairness along with the other objectives. The results show that the proposed model and methods allow for the production of high quality timetable solutions while also providing a trade-off between the standard soft fairn constraints and a desired
PR ] 3 J un 2 01 9 Networks of Loci by a Multilocus Wright-Fisher Model with Selection and Mutation , and a Conjecture by Motoo

In this paper we introduce a multilocus diffusion model of a population of N haploid, asexually reproducing individuals. The model includes parent-dependent mutation and interlocus selection, the latter limited to pairwise relationships but among a large number of simultaneous loci. The diffusion is expressed as a system of stochastic differential equations that are coupled in the drift functions through a term with a special structure. These equations are derived from a sequence of Markov chains by weak convergence. We find the explicit stationary (invariant) density by solving the corresponding stationary Fokker-Planck equation under parent-independent mutation. The density formula enables us to readily construct families of structured special Wright-Fisher models corresponding to networks of loci.
Analysing the Bilateral Relationship between Technological Readiness and Innovation of Countries by Considering the Mediating Effect of GDP

During the past decade, the World Economic Forum has published its annual reports in which the Global Competitiveness Index is included. This paper aims to investigate the key factors for achieving an innovation-driven economy. In this paper, we used partial canonical correlation analysis (PCCA) to examine the relationships between key pillars in “efficiency enhancers” and “business sophistication” factors. The results of Pearson correlation showed that “technological readiness” and “innovation” are highly correlated. Then, the PCCA method was used to understand the relationships between their sub-pillars. Our findings showed that “availability of latest technologies” and “firm-level technology absorption” in the technological readiness pillar, and “quality of scientific research institutions”, “university-industry collaboration in R&D” and “companies’ spending on R&D” in the innovation pillar present the highest correlations. Furthermore, according to the canonical second root analysis, we analyse some other interrelations. Thus, policymakers can employ the results to prioritize their macro policies.
Evaluation of Autoencoders for Bases to Represent Neuroimaging Data

Computer vision and machine learning methods have been shown to be more effective than clinicians in analyzing neuroimages since they eliminate human factors like subjectivity and experience. Nevertheless, much of the study involves the extraction of hand–crafted features that are hard to visually interpret. Recently, a sparse autoencoder was shown to be effective in learning feature detectors (bases) by which new representations of neuroimages are obtained. However, no comparison was made among the variants of autoencoders. In this paper, we investigate the advantages of constrained autoencoders: sparse, denoising and contractive, over basic autoencoder. We found that given a large enough basis set, the constrained autoencoders have no significant advantage, in terms of classification performance, over the simple autoencoder. However, the constrained autoencoders significantly reduce the number of bases. As a result, they enable lower dimensional representations.
Preliminary studies on pharmaceutical microencapsulation for synbiotic application

The solvent evaporation technique was used in this study to evaluate probiotics microencapsulation in AQOAT/ dichloromethane matrix and cell viability was also measured to assess its potentials in industrial food formulation processes. Cumulative release experiments using water blue dye as a model molecule was also used to evaluate the prebiotic applications. Well-defined spherical AQOAT microcapsules [50.0 A¬m Â± (24.14)] were formed from 5% AQOAT solution. Cells of Bifidobacterium breve and Lactobacillus plantarum were successfully encapsulated with this technique. However, a 7 log and a 5 log reduction were recorded for B. breve and L. plantarum respectively after 60 min in buffer (P<0.05). Results of this study showed that 1% AQOAT solution lowered viability by 1 log and cell exposure to 10 ml dichloromethane resulted in a 3 log reduction, thus confirming bactericidal properties of both polymer and organic solvent. DCM was however shown to have more bactericidal effects on the cells (P<0.001). Cumulative release trials using 0.2% water blue dye solution showed a 40% loss and encapsulation efficiency (EE) of 73.8% (Â±14.76). It was recommended that viability counts using this technique be further evaluated using other organic solvents (such as ethyl acetate and chloroform) or other synthetic polymers so as to increase its applicability in the food industry.
Analysis of Robustness of Complex Networks based on Optimization Theory

The analysis of robustness of complex networks tries to find out the relation between the structure of a complex network and its robustness performance, which will be beneficial to some work such as network design. The robustness measurement of a complex network is defined at first to evaluate its robustness performance. Then a framework is put forward for robustness analysis of complex networks. The framework analyzes the impacts of structural parameters of a complex network on its robustness by comparing the network structures and its robustness performance before and after optimization. These network structural parameters include the degree distribution, the average clustering coefficient, the network efficiency and so on. An optimization method based on the variable neighborhood search method is developed to solve the network optimization problem appearing in the framework. Finally, through the application of this analytical framework, it is found that if the degree of nodes in a complex network tends to be consistent, then the upper bound of the robustness measurement of the network will increase. In addition, the regression relationships between the robustness measurement and some structural parameters of the network, such as the average clustering coefficient, the network efficiency and so on, will become evident.
ORGANIZATIONAL FORMS AND KNOWLEDGE MANAGEMENT : ONE SIZE FITS ALL ?

Business and consumer markets are becoming increasingly competitive and complex due to macro economic trends such as globalization, off-shoring and deregulation. Consequently, the need for senior executives to create and maintain competitive advantage for their firms is greater than ever. Equally, in the provision of public services, politicians and the public are becoming far more demanding regarding the quality and efficiency of services delivered. Therefore, there is little doubt that senior executives in the private and public sectors are under significant pressure to continuously formulate the right organizational strategy, allowing the organization to deliver its objectives and meet stakeholders’ expectations.
Cyber Jihad : Terrorists as Knowledge Workers and Cyber Learners

Using multiple case studies approach, temporal analysis, and Social Network Analysis, this study examined the antecedents of knowledge management that drove Cyber learning in Cyber Jihad. By investigating the cases of “Jihad Jane” and “Terrorist 007”, this study discovered that knowledge management was driven by trust, social interaction ties, group identification, reciprocity norms, shared vision, shared language, and community wellbeing. In addition, personal outcome expectations were the effect, rather than the antecedent, of knowledge sharing among Cyber Jihadists. Furthermore, a high degree of knowledge management expanded the network of Cyber Jihad, enabling Cyber learning across multiple networks and supporting the intuitive learning culture. Hinged on these findings, this study presents counterterrorism strategies and theoretical implications.
on Information and Communication Technologies in Agriculture , Food and Environment ( HAICTA 2013 ) Sediment transport in the Koiliaris river of Crete

In this paper, a study of the sediment transport in a complex Mediterranean watershed (i.e. the Koiliaris River Basin of Crete) consisting of temporary flow tributaries and karstic springs is presented. Both daily flow data (2005-2013) and monthly sediment concentration data (2011-2013) were used to calibrate the modified Soil and Water Assessment Tool (SWAT) model, designed to simulate the hydrology, sediment yield and water quality of ungauged watersheds, and augmented with a karst flow model in order to simulate the contribution of the extended karst to the spring discharge in the basin. The results showed good agreement between observed and model values for both flow and sediment concentration. However, since no data representative of high sediment concentration conditions were available, such as during extreme flow events, an automated sediment sampling device (Sediment Trap), which allows for flow weighted sampling, has been developed and is detailed in this paper. This device is undergoing testing to ensure it can provide accurate estimates of sediment yield, especially during a flush flood event when large amounts of sediment are carried downstream. The sediment measurements will then be used to calibrate and verify the sediment transport simulations of the Koiliaris River watershed generated by the SWAT model. The sediment transport simulations and the development of the automated sampling device were part of the preliminary work for the pilot application of the “Cybersensors” infrastructure in the Koiliaris River. The Cybersensors research project aims to develop an intelligent integrated monitoring system, which will utilize electrochemical and optical sensors, and will allow for high-frequency monitoring of the physical and chemical parameters of a river flow and thus the rapid detection of environmental change during episodic events, as well as for long term monitoring. © 2013 The Authors. Published by Elsevier B.V. Selection and peer-review under responsibility of HAICTA
Noise Matters in Heterogeneous Populations

The concept of boundedly rational agents in evolutionary game theory has succeeded in producing clear results when traditional methodology was failing. However the majority of such papers have obtained their results when this bounded rationality itself vanishes. This paper considers whether such results are actually a good reflection of a population whose bounded rationality is small, but non-vanishing. We also look at a heterogeneous population who play a co-ordination game but have conflicting interests, and investigate the stability of an equilibria where two strategies co-exist together. Firstly, I find that results using the standard vanishing noise approach can be very different from those obtained when noise is small but persistent. Secondly, when the results differ it is the non-vanishing noise approach which selects the co-existence equilibria. As recent economic and psychology studies highlight the irrationality of their human subjects, this paper seeks to further demonstrate that the literature needs to concentrate more on the analysis of truly noisy populations.
La Dolce Vita in Japan: The Effect of Bank Mergers on Corporate Governance

This study examines whether bank mergers change the relationship between market power and efficiency. Using two-stage least-squares instrumental variable estimation to address potential endogeneity between market power and efficiency, we confirm that market power is associated with higher profit efficiency. That analysis is then extended to examine how the relationship between market power and efficiency changes after bank mergers. The results are striking. The relationship between profit efficiency and market power becomes negative after banks merge. This effect is most significant for large and mega bank mergers, which experience significant increases in market power after merger. The increase in market power that accrues due to bank mergers does not lead bank managers to reap potential monopoly profits and boost efficiency. On the contrary, there is evidence that bank managers exploit their higher market power to pursue la dolche vita, or “the sweet life”.
Development of Real Time 3 D Positioning System for Indoor Entertainment Balloon Robots

This project revolves around the combination of different state of the art concepts to create balloon robots which can be used for entertainment purposes. The goal is having multiple robots perform a choreographed flight on preset paths to make use of the "dead space" over the crowd of an event, either as part of the show or displaying information and advertisements. As the balloon is flying on a defined trajectory, a tracking system for its position is needed. For this purpose, several infrared cameras monitor the position of a marker attached to the balloon. Keywords—Balloon robots, 3D positioning, Infrared, Event venue
DESIGN STUDY OF A PARTIAL SNAKE FOR THE AGS

A superconducting helical dipole magnet, which will help preserve the polarization of a proton beam in the Alternate Gradient Synchrotron (AGS), has been proposed. Replacing an existing solenoid type Siberian Snake with the helical magnet, the strength of the remaining intrinsic resonances, which are due to transverse coupling, can be reduced. This magnet has a field of 3 T and an effective length of 2 m. Field shape and multipole components obtained by 3D field calculations are discussed. Also, the cooling system for this magnet is studied.
Implications of how the linewidth enhancement factor is introduced on the Lang and Kobayashi model

The implications of how the linewidth enhancement factor is introduced on the Lang and Kobayashi model of a single-mode semiconductor laser with optical feedback are numerically investigated. /spl alpha/ is introduced on the model in the rate equation for the complex electric field by performing an expansion of the frequency of the laser mode around its threshold value /spl omega//sub 0/. Two different expansions have led to two different sets of Lang and Kobayashi equations; in the first set, the intensity reduction of the optical gain G is taken into account in the linearization of /spl omega/, while in the second set it is neglected. Although in the literature the investigations of semiconductor lasers with optical feedback have been based on either of these sets, they are equal only when a linear form for G is assumed. In this paper, it is shown that on which set of Lang and Kobayashi equations the investigations are based is an important fact to take into account when interpreting the results, since it is shown that if the nonlinear gain is considered, the dynamics predicted by the two sets are very different. In particular, it is shown that behavior of the external cavity modes and the stability properties of the attractors differ greatly when the gain saturation coefficient /spl epsi/ is varied.