Miracle-dz/UniFAR-FTUs huggingface dataset:
INTRODUCTION OF A DROUGHT FORECASTING/WARNING SYSTEM AND IMPROVEMENT METHODS IN THE REPUBLIC OF KOREA

With the occurrence of repeated drought damage, there has been a need for government-level R&D support for scientific drought management from the mid-to long-term perspective in Korea. Because government agencies related to drought such as the Korea Meteorological Administration, Ministry of Land, Infrastructure and Transport, Ministry of Food, Agriculture, Forestry and Fisheries, and Ministry of Public Safety and Security, have been independently performing drought forecasting-warning, the president decided to establish integrated forecasting-warning system for drought prevention and effective drought management. In the present study, accordingly, we introduce the integrated drought forecasting-warning system in Korea. The Ministry of Public Safety and Security, as control tower, announces integrated drought information (Meteorological, Living and Industrial, Agricultural drought) to the public including investigation of local government situation. An announcement cycle is early of the month and target region is 167 provinces. Verification of drought information provided by each ministry was used by RDI. Final research purpose develops National Drought Information Integrated Forecasting-warning Technique Development. We expect that such efforts will be able to minimize drought damages and allow for pre-emptive prevention of droughts.
Component Software: Beyond Object-Oriented Programming

From the Publisher: Component Software: Beyond Object-Oriented Programming explains the technical foundations of this evolving technology and its importance in the software market place. It provides in-depth discussion of both the technical and the business issues to be considered, then moves on to suggest approaches for implementing component-oriented software production and the organizational requirements for success. The author draws on his own experience to offer tried-and-tested solutions to common problems and novel approaches to potential pitfalls. Anyone responsible for developing software strategy, evaluating new technologies, buying or building software will find Clemens Szyperski's objective and market-aware perspective of this new area invaluable.
Appendix: Adding Seemingly Uninformative Labels Helps in Low Data Regimes

As one of our contributions, we release the CSAW-S dataset, which can be found at Link-TBA (available shortly after publication). CSAW-S is a curated dataset containing mammography images with annotations of breast cancer and breast anatomy from experts and non-experts. It can be used to replicate our study, repurposed for other semantic segmentation tasks, or used in conjunction with other breast cancer datasets (e.g. DDSM (Lee et al., 2017), INbreast (Bowyer et al., 2000)) to form a large repository of mammograms with tumor annotations.
ScholarWorks@UMass Amherst

The retrieval of images based on their visual similarity to an example image is an important and fascinating area of research. Here, a method to characterize visual appearance for determining global similarity in images is described. Images are ﬁltered with Gaussian derivatives and geometric features are computed from the ﬁltered images. The geometric features used here are curvature and phase. Two images may be said to be similar if they have similar distributions of such features. Global similarity may, therefore, be deduced by comparing histograms of these features. This allows for rapid retrieval and examples from collection of gray-level and trademark images are shown.
Fire in Paradise1: Mesoscale Simulation of Wildfires

Resulting from changing climatic conditions, wildfires have become an existential threat across various countries around the world. The complex dynamics paired with their often rapid progression renders wildfires an often disastrous natural phenomenon that is difficult to predict and to counteract. In this paper we present a novel method for simulating wildfires with the goal to realistically capture the combustion process of individual trees and the resulting propagation of fires at the scale of forests. We rely on a stateof-the-art modeling approach for large-scale ecosystems that enables us to represent each plant as a detailed 3D geometric model. We introduce a novel mathematical formulation for the combustion process of plants – also considering effects such as heat transfer, char insulation, and mass loss – as well as for the propagation of fire through the entire ecosystem. Compared to other wildfire simulations which employ geometric representations of plants such as cones or cylinders, our detailed 3D tree models enable us to simulate the interplay of geometric variations of branching structures and the dynamics of fire andwood combustion. Our simulation runs at interactive rates and thereby provides a convenient way to explore different conditions that affect wildfires, ranging from terrain elevation profiles and ecosystem compositions to various measures against wildfires, such as cutting down trees as firebreaks, the application of fire retardant, or the simulation of rain.
Humanoid Robot Push-Recovery Strategy Based on CMP Criterion and Angular Momentum Regulation

 Abstract —We propose a push-recovery strategy to stabilize the robot under unmodelled, large external forces. The strategy integrates Center-Of-Gravity (COG) angular momentum regulator, COG state estimator, and stepping control, which online modifies the trajectories of the COG and the swing leg. Using the centroidal-moment-pivot criterion, the COG angular momentum regulator controls the dynamics of the COG as an impedance system through the feedback of COG state estimator based on Kalman filter. The stepping control, on the other hand, selects the appropriate balancing reaction in anticipation of the potential consequences of the external disturbances on the robot. In simulations and experiments, we show the proposed push-recovery strategy can effectively save the robot from falling down and walk more smoothly.
Non-verbal Cues for Discourse Structure Non-verbal Cues for Discourse Structure

This paper addresses the issue of designing embodied conversational agents that exhibit appropriate posture shifts during dialogues with human users. Previous research has noted the importance of hand gestures, eye gaze and head nods in conversations between embodied agents and humans. We present an analysis of human monologues and dialogues that suggests that postural shifts can be predicted as a function of discourse state in monologues, and discourse and conversation state in dialogues. On the basis of these findings, we have implemented an embodied conversational agent that uses Collagen in such a way as to generate posture shifts. This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Abstract This paper addresses the issue of designing embodied conversational agents that exhibit appropriate posture shifts during dialogues with human users. Previous research has noted the importance of hand gestures, eye gaze and head nods in conversations between embodied agents and humans. We present an analysis of human monologues and dialogues that suggests that postural shifts can be predicted as a function of discourse state in monologues, and discourse and conversation state in dialogues. On the basis of these findings, we have implemented an embodied conversational agent that uses Collagen in such a way as to generate postural shifts.
Language design for a personal learning environment design language Conference or Workshop Item

Approaching technology-enhanced learning from the perspective of a learner, we foster the idea of learning environment design, learner interactions, and tool interoperability. In this paper, we shortly summarize the motivation for our personal learning environment approach and describe the development of a domain-specific language for this purpose as well as its realization in practice. Consequently, we examine our learning environment design language according to its lexis and syntax, the semantics behind it, and pragmatical aspects within a first prototypic implementation. Finally, we discuss strengths, problematic aspects, and open issues of our approach.
A Practical System for Intermodule Code Optimization at Link-Time

We have developed a system called OM to explore the problem of code optimization at link-time. OM takes a collection of object modules constituting the entire program, and converts the object code into a symbolic Register Transfer Language (RTL) form that can be easily manipulated. This RTL is then transformed by intermodule optimization and finally converted back into object form. Although much high-level information about the program is gone at link-time, this approach enables us to perform optimizations that a compiler looking at a single module cannot see. Since object modules are more or less independent of the particular source language or compiler, this also gives us the chance to improve the code in ways that some compilers might simply have missed. To test the concept, we have used OM to build an optimizer that does interprocedural code motion. It moves simple loop-invariant code out of loops, even when the loop body extends across many procedures and the loop control is in a different procedure from the invariant code. Our technique also easily handles ‘‘loops’’ induced by recursion rather than iteration. Our code motion technique makes use of an interprocedural liveness analysis to discover dead registers that it can use to hold loop-invariant results. This liveness analysis also lets us perform interprocedural dead code elimination. We applied our code motion and dead code removal to SPEC benchmarks compiled with optimization using the standard compilers for the DECstation 5000. Our system improved the performance by 5% on average and by more than 14% in one case. More improvement should be possible soon; at present we move only simple load and load-address operations out of loops, and we scavenge registers to hold these values, rather than completely reallocating them. This paper will appear in the March issue of Journal of Programming Languages. It replaces Technical Note TN-31, an earlier version of the same material.
Florida International University - University of Miami TRECVID 2013

This paper demonstrates the framework and results from the team “Florida International University University of Miami (FIU-UM)” in TRECVID 2013 Semantic Indexing (SIN) task [14, 15]. Four runs were submitted, and the summary of these four runs are as follows: • M A FIU-UM-1 1: SVM Support vector machine (SVM) based ranking using key frame (KF) features. • M A FIU-UM-2 2: SVM+DASD SVM based ranking using KF features, domain adaptive semantic diffusion (DASD) is applied to refine results of this round. • M A FIU-UM-3 3: SVM+AAN SVM based ranking using KF features, concept association network (CAN) is applied to refine results of this round. • M A FIU-UM-4 4: Fusion of the results generated from three models corresponding to the aforementioned three runs. In addition, the results of deformable part model for some concepts are also integrated. In run 1, 2 and 3, the same baseline SVM-based model is applied. Different re-ranking approaches such as DASD and CAN are applied to refine the initial results. In this way, we want to test whether re-ranking approach could help the baseline results. In Run 4, the results from the aforementioned three runs are fused. The deformable part model [7] is utilized to detect some concepts such as chair. As a result, from the submission results, run 4 outperforms other three runs.
Florida International University - University of Miami TRECVID 2018

This paper presents the framework and results from the team “Florida International University-University of Miami (FIU-UM)” in the TRECVID 2018 Ad-hoc Video Search (AVS) [1] task. We submitted four manually-assisted runs as follows. • M D FIU UM.18 1 & M D FIU UM.18 3: Convolutional Neural Network (CNN) features + linear Support Vector Machine (SVM), scores from other sources, two different sets of concepts and weighted combinations (“and”, “or”, & “mix” operations) • M D FIU UM.18 2: CNN features + linear SVM, scores from other sources, weighted combination (“and”, “or”, & “mix” operations) + rectified linear score normalization • M D FIU UM.18 4: CNN features + linear SVM, scores from other sources, weighted combination (“and”, “or”, & “mix” operations) + fuse different score sets (“merge” operation) Our framework includes the following processing steps: (1) manual extraction of the most important keywords based on a given query, (2) generation of CNN features from keyframes, (3) generation of scores for each concept using the linear SVM classifier, (4) generation of additional scores from multiple pre-trained models for image classification, object, scene, and action detection, (5) just-in-time concept learning for keywords not found in the concept bank, and (6) integration of the scores using the “and”, “or”, “mix”, and “merge” operators. The performance results show that our first run (M D FIU UM.18 1), which includes our best-weighted combination scores, outperforms the other three runs. This year, the FIU-UM team achieved the second highest score in the manually-assisted run and ranked third among all the submitted runs (combining manually-assisted and automatic runs). The submission details are listed as follows. • Class: M (Manually-assisted runs) • Training type: D (IACC & non-IACC non-TRECVID data) • Team ID: FIU-UM (Florida International University University of Miami) • Year: 2018
Florida International University - University of Miami TRECVID 2016

This paper demonstrates the framework and results from the team “Florida International University University of Miami (FIU-UM)” in TRECVID 2016 [1] Ad-hoc Video Search (AVS) task [2]. The following two runs were submitted: • M D FIU UM.16 1: CNN features + linear SVM + concept scores combination type I • M D FIU UM.16 2: CNN features + linear SVM + concept scores combination type II In both runs, the features are first extracted by the CNN (Convolutional Neural Network) structure of AlexNet [3]. Then, using the linear SVM (Support Vector Machine) classifiers, the scores of each concept for the key frames are generated. For run 1 and run 2, the scores from the aforementioned model are combined in different ways for different queries. From the submission results, run 2 outperforms run 1. The submission details are listed as follows. • Class: M (Manually-assisted runs) • Training type: D (IACC & non-IACC non-TRECVID data) • Team ID: FIU-UM (Florida International University University of Miami) • Year: 2016
Pivoted document length normalization

Automatic information retrieval systems have to deal with documents of varying lengths in a text collection. Document length normalization is used to fairly retrieve documents of all lengths. In this study, we ohserve that a normalization scheme that retrieves documents of all lengths with similar chances as their likelihood of relevance will outperform another scheme which retrieves documents with chances very different from their likelihood of relevance. We show that the retrievaf probabilities for a particular normalization method deviate systematically from the relevance probabilities across different collections. We present pivoted normalization, a technique that can be used to modify any normalization function thereby reducing the gap between the relevance and the retrieval probabilities. Training pivoted normalization on one collection, we can successfully use it on other (new) text collections, yielding a robust, collectzorz independent normalization technique. We use the idea of pivoting with the well known cosine normalization function. We point out some shortcomings of the cosine function andpresent two new normalization functions–-pivoted unique normalization and piuotert byte size nornaahzation.
The Tip of the Iceberg: Actual Trade Flows Understate the Extent of Globalization

The United States and Brazil both have many local consumer markets which imported cement can access by waterway. Despite this similarity, the degree of import penetration is strikingly dierent. While imports from around the world account for as much as 30% of U.S. cement consumption, Brazil hardly imports cement. U.S. cement producers, facing lower inbound trade costs and higher mar- ginal costs compared to their Brazilian counterparts, not only compete (on the margin) with foreign capacity but actually welcome it (on the inframargin) as an extension of their own capacity. This paper provides evidence to support that import competition in Brazil, though latent, is already present in the form of an entry threat which sets a price ceiling that binds on domestic outcomes. In ex- plaining domestic prices, I show that mixture models that allow for an imports price ceiling outperform models where a foreign sector is absent. The unique insti- tutional setting vividly illustrates how actual trade ‡ows may represent only the "tip of the iceberg"when it comes to inferring the extent of trade integration: only in the U.S. does one see imports, but the threat of foreign entry in Brazil already restricts the exercise of market power, if not entirely. Such latent international competition is not captured by traditional models of comparative advantage, and helps explain why product prices and wages appear to be increasingly determined by global forces of demand and supply.
Aeolian silt contribution to soils on mountain slopes (Mt. Ślęża, southwest Poland)

Abstract This paper evaluates the possible contribution of aeolian silt to soils of Mt. Ślęża (southwest Poland). Silt loam textures are common across Lower Silesia and are often confused with silt clay loam, especially at the outer boundaries with thin loess deposits. Eight study sites with different thicknesses of silt loam mantles that are covered and/or mixed with underlying sediments were examined in the field. To test our hypothesis, we analyzed the particle size and geochemistry of representative horizons. Concentrations of major and trace elements as well as their cross ratios confirmed the aeolian origin of silt loam materials and clearly distinguished them from basal sediments. There is a clear relationship between the presence and depth of aeolian mantles and mixing zones with the type of underlying material. Furthermore, the incorporation of aeolian silt to regoliths/soils was a main agent initiating and stimulating clay translocation leading to the formation of an argic horizon below the silt mantles. Mixing aeolian silt with acid granite regoliths and further illuviation resulted in the formation of alisols, while silt contributions to serpentine sediments resulted in development of skeletic luvisols. Soils receiving very weak input of aeolian silts remain as leptosols/cambisols.
IT I NNOVATION P ERSISTENCE

Approaching IT innovation (ITI) from a strategic management standpoint, this paper sheds light on the issue of the capability of a firm to innovate with IT over time. In this study we argue that ITI is a cumulative and path-dependent capability that is not easily replicated. Companies that have developed ITI capability and attained ITI status among their peers are likely to maintain this status over time, thus demonstrating that ITI is a sustained capability. We tested our proposition with cross-sectional data of large US firms that have attained ITI status from 1997-2004. Exploratory results based on transitional probabilities and econometric analysis based on a dynamic random effect Probit model seem to strongly support our position.
Man versus Computer: Difference of the Essences. The Problem of the Scientific Creation

In this study it is proposed the critical analysis of the creation of Artificial Intelligence (AI) and of Artificial General Intelligence (AGI). The unity of formal logic and rational dialectics is the methodological basis of the analysis. The main results of the analysis are as follows: (1) the model of man represents the unity of the two material aspects: “physiological body” (controllable aspect) and “psychical body” (controlling aspect); (2) the “psychical body” is the subsystem “subconsciousness + consciousness”; (3) in the comprehensive sense of the word, the thinking is an attribute of the complete system “physiological body + psychical body + environment”. (3) in the broad sense of the word, thinking and creativity are an essential feature of the subsystem “subconsciousness + consciousness”; (4) in the narrow (concise) sense of the word, thinking and creativity are the attribute of the instinct of the conservation (preservation, retention, maintenance) of life (i.e., the self-preservation instinct, the survival instinct); the instinct of the conservation of life exists in subconsciousness; (5) the instinct of life conservation is a system of elementary (basic) instincts; thinking is the attribute of the each elementary instinct; (6) the mechanism of thinking and the essence of creation cannot be cognized by men; (7) a computer as a device cannot think and create (in particular, it cannot prove theorems), because a computer does not have the subconsciousness; (8) the modeling of human thinking, Human Intellect, and the creation of AI and AGI are the impossible because the essential properties of the complete system “man + environment” cannot be cognized and modeled; (9) the existence of AI and AGI conflicts with the essence of the thinking; (10) the existence of AI and AGI contradict to formal-logical and rationaldialectical laws.
A Phenomic Algorithm for Reconstruction of Gene Networks

The goal of Gene Expression Analysis is to understand the processes that underlie the regulatory networks and pathways controlling inter-cellular and intra-cellular activities. In recent times microarray datasets are extensively used for this purpose. The scope of such analysis has broadened in recent times towards reconstruction of gene networks and other holistic approaches of Systems Biology. Evolutionary methods are proving to be successful in such problems and a number of such methods have been proposed. However all these methods are based on processing of genotypic information. Towards this end, there is a need to develop evolutionary methods that address phenotypic interactions together with genotypic interactions. We present a novel evolutionary approach, called Phenomic algorithm, wherein the focus is on phenotypic interaction. We use the expression profiles of genes to model the interactions between them at the phenotypic level. We apply this algorithm to the yeast sporulation dataset and show that the algorithm can identify gene networks with relative ease. Keywords—Evolutionary computing, Gene expression analysis, Gene networks, Microarray data analysis, Phenomic algorithms.