Forced Labour in North Korean Prison Camps

This document is part of a digital collection provided by the Martin P. Catherwood Library, ILR School, Cornell University, pertaining to the effects of globalization on the workplace worldwide. Special emphasis is placed on labor rights, working conditions, labor market changes, and union organizing.ASI_2007_FL_North_Korea_Forced_Labour.pdf: 771 downloads, before Oct. 1, 2020

Developments in GIS-based mineral prospectivity mapping : An overview.

Mineral Prospectivity Conference, France.This keynote presentation provides an overview of the developments in GIS-based mineral prospectivity mapping during the past 30–40 years or so

The efficiency of logistic function and prediction-area plot in prospectivity analysis of mineral deposits.

Mineral Prospectivity Conference, France.In this work, we present logistic-based mineral prospectivity mapping (MPM) methods concerning with assigning weights of exploration indicators, without contribution of training sites as in supervised MPM and without using user-judged weights as in unsupervised MPM, to modulate the problems of stochastic and systemic errors. In addition, we discuss the ability of prediction-area plot as a tool to assess and compare evidential layers and prospectivity models

Prospectivity analysis of orogenic gold deposits in Saqez-Sardasht Goldfield, Zagros Orogen, Iran.

Peer review journal article. Geology.Diverse deposit-types or mineral systems form by diverse geological processes, so translation of knowledge about the controls of mineralization acquired from the 4D geological modeling into 2D spatial predictor maps is a major challenge for prospectivity analysis. In this regard, mathematical functions have been used to model the conceptual or perceived spatial relationships between geological variables and targeted type or system of mineralization. In this paper, due to the different models of spatial relationships between predictors and mineral deposits, we investigated the performance of different fuzzification functions to quantify the relationships. We demonstrated that various types of relationships between exploration features and a mineralization-type sought could be quantified using different fuzzification functions for prospectivity analysis. We illustrated the process of the prospectivity analysis by using a data set of orogenic gold deposits in Saqez-Sardasht Goldfield, Iran. Prospectivity modeling of orogenic gold mineralization in the study area showed that the NE-SW trending targets have priority for further prospecting of the deposits

Real Time Animation of Virtual Humans: A Trade-off Between Naturalness and Control

Virtual humans are employed in many interactive applications using 3D virtual environments, including (serious) games. The motion of such virtual humans should look realistic (or ‘natural’) and allow interaction with the surroundings and other (virtual) humans. Current animation techniques differ in the trade-off they offer between motion naturalness and the control that can be exerted over the motion. We show mechanisms to parametrize, combine (on different body parts) and concatenate motions generated by different animation techniques. We discuss several aspects of motion naturalness and show how it can be evaluated. We conclude by showing the promise of combinations of different animation paradigms to enhance both naturalness and control

A Quintesential Tool in Teaching: A Case Study on Teachers Using YouTube Videos

This multiple case study explored the views and insights of Teachers who use Youtube videos in their class. The researcher formulated questions to collect data which was followed by the analysis of results. This research can be an avenue to discover the emerging revelations of teachers in their use of Youtube videos. The study employed the qualitative analysis using the multiple case study method. The participats were identified through purposive sampling. There were 3 participants which served as the primary source of data. The researcher interviewed the participants and the data gathered was generated through a semi-structured interview using validated interview questions as instruments. Transcripts of interviews were analyzed through thematic analysis. The result revealed that participants embraced the differences of their perspective to cope with their experiences. The themes that were generated are the following themes: Improvement, Easy access, Abundance of resource, Supplement, Appropriate, Interest, Time Frame and Familiarity, Motivation and Active learning

Composite control of physically simulated characters

A physics-based control system that tracks a single motion trajectory pro-duces high quality animations, but it does not recover from large distur-bances that require deviating from this tracked trajectory. In order to en-hance the responsiveness of physically simulated characters, we introduce algorithms that construct composite controllers that track multiple trajec-tories in parallel instead of sequentially switching from one control to the other. The composite controllers can blend or transition between different path controllers at arbitrary times according to the current system state. As a result, a composite control system generates both high quality animations and natural responses to certain disturbances. We demonstrate its potential for improving robustness in performing several locomotion tasks. Then we consolidate these controllers into graphs that allow us to direct the character in real time

GeoCube: a 3D mineral resources quantitative prediction and assessment system

This paper introduces a software system (GeoCube) for three dimensional (3D) extraction and integration of exploration criteria from spatial data. The software system contains four key modules: (1) Import and Export, supporting many formats from commercial 3D geological modeling software and offering various export options; (2) pre-process, containing basic statistics and fractal/multi-fractal methods (concentration–volume (C–V) fractal method) for extraction of exploration criteria from spatial data (i.e., separation of geological, geochemical and geophysical anomalies from background values in 3D space); (3) assessment, supporting five data-driven integration methods (viz., information entropy, logistic regression, ordinary weights of evidence, weighted weights of evidence, boost weights of evidence) for integration of exploration criteria; and (4) post-process, for classifying integration outcomes into several levels based on mineralization potentiality. The Nanihu Mo (W) camp (5.0 km×4.0 km×2.7 km) of the Luanchuan region was used as a case study. The results show that GeoCube can enhance the use of 3D geological modeling to store, retrieve, process, display, analyze and integrate exploration criteria. Furthermore, it was found that the ordinary weights of evidence, boost weights of evidence and logistic regression methods showed superior performance as integration tools for exploration targeting in this case study