Piggybacking on an Autonomous Hauler: Business Models Enabling a System-of-Systems Approach to Mapping an Underground Mine

With ever-increasing productivity targets in mining operations, there is a growing interest in mining automation. In future mines, remote-controlled and autonomous haulers will operate underground guided by LiDAR sensors. We envision reusing LiDAR measurements to maintain accurate mine maps that would contribute to both safety and productivity. Extrapolating from a pilot project on reliable wireless communication in Boliden's Kankberg mine, we propose establishing a system-of-systems (SoS) with LIDAR-equipped haulers and existing mapping solutions as constituent systems. SoS requirements engineering inevitably adds a political layer, as independent actors are stakeholders both on the system and SoS levels. We present four SoS scenarios representing different business models, discussing how development and operations could be distributed among Boliden and external stakeholders, e.g., the vehicle suppliers, the hauling company, and the developers of the mapping software. Based on eight key variation points, we compare the four scenarios from both technical and business perspectives. Finally, we validate our findings in a seminar with participants from the relevant stakeholders. We conclude that to determine which scenario is the most promising for Boliden, trade-offs regarding control, costs, risks, and innovation must be carefully evaluated.Comment: Preprint of industry track paper accepted for the 25th IEEE International Conference on Requirements Engineering (RE'17

Global Security, Climate Change, and the Arctic

This issue of Swords and Ploughshares examines the complex set of global security challenges that are emerging as a result of warmer temperatures and melting ice in the Arctic region. For policymakers and analysts alike, the contemporary Arctic presents a particularly acute convergence of compelling problems and opportunities related to global security, foreign affairs, climate change, environmentalism, international law, energy economics, and the rights of indigenous populations. The goals of this publication are two-fold: to provide thoughtful analysis of recent developments in the Arctic both from scientific and geopolitical perspectives; and to offer careful and informed assessments of how evolving conditions in the Arctic might impact the broader global security framework and relations between the international actors involved, not to mention the region’s inhabitants and ecosystem. The articles in this issue were contributed by each of four panelists invited by the Program in Arms Control, Disarmament, and International Security (ACDIS), the European Union Center, and the Russian, East European, and Eurasian Center at the University of Illinois to participate in a November 2009 symposium entitled “Global Security, Climate Change, and the Arctic: Implications of an Open Northwest Passage.” The symposium and this publication were supported through grants to the host centers from the European Commission, the US Department of Education (Title VI international education program), and the John D. and Catherine T. MacArthur Foundation.published or submitted for publicationnot peer reviewe

FIRI - a Far-Infrared Interferometer

Half of the energy ever emitted by stars and accreting objects comes to us in the FIR waveband and has yet to be properly explored. We propose a powerful Far-InfraRed Interferometer mission, FIRI, to carry out high-resolution imaging spectroscopy in the FIR. This key observational capability is essential to reveal how gas and dust evolve into stars and planets, how the first luminous objects in the Universe ignited, how galaxies formed, and when super-massive black holes grew. FIRI will disentangle the cosmic histories of star formation and accretion onto black holes and will trace the assembly and evolution of quiescent galaxies like our Milky Way. Perhaps most importantly, FIRI will observe all stages of planetary system formation and recognise Earth-like planets that may harbour life, via its ability to image the dust structures in planetary systems. It will thus address directly questions fundamental to our understanding of how the Universe has developed and evolved - the very questions posed by ESA's Cosmic Vision.Comment: Proposal developed by a large team of astronomers from Europe, USA and Canada and submitted to the European Space Agency as part of "Cosmic Vision 2015-2025

New Rules for a New Era: Regulating Artificial Intelligence in the Legal Field

As Artificial Intelligence (AI) continues to evolve at a rapid pace, many industries have already started integrating new technologies to reduce costs and labor. While this is practical for some industries, the legal industry should be cautious before fully integrating AI. Some legal-service providers are already developing and offering new AI products. But the legal industry must approach these new products with some skepticism. While AI may eventually bring positive changes to the legal industry, AI currently has many flaws. This can create negative unintended consequences for attorneys and judges that are unaware of these flaws. Further, AI is not yet ready to replace attorneys in many key areas of representation. Consequently, the legal industry should proactively take steps to regulate itself and restrict the use of AI in the legal industry until it is ripe for integration

Uniqueness and Generalization in Organizational Psychology: Research as a Relational Practice

The paper addresses the epistemological and theoretical assumptions that underpin the concept of Work and Organizational Psychology as idiographic, situated, and transformative social science. Positioning the connection between uniqueness and generalization inside the debate around organization studies as applied approaches, the contribution highlights the ontological, gnoseological, and methodological implications at stake. The use of practical instead of scientific rationality is explored, through the perspective of a hermeneutic lens, underlining the main features connected to the adoption of an epistemology of practice. Specifically, the contribution depicts the configuration of the applied research as a relational practice, embedded in the unfolding process of generating knowledge dealing with concrete social contexts and particular social objects. The discussion of a case study regarding a field research project allows one to point out challenges and constraints connected to the enactment of the research process as a social accomplishment

Neutrino capital of the world

Thesis (S.M. in Science Writing)--Massachusetts Institute of Technology, Dept. of Humanities, Program in Writing and Humanistic Studies, 2004.Includes bibliographical references (leaves 22-23).Neutrinos are ubiquitous particles, but they don't like to mingle. Each second, billions of them pass through our bodies, slicing imperceptibly through our delicate internal organs. They can barrel through the sun, stars, and planets without a single interaction. Only one in every ten billion of the invisible, chargeless, nearly massless particles will interact through a weak force with another atom, leaving an observable trace of its existence. But in a small town in western South Dakota called Lead (rhymes with 'need'), a 125-year history of mining ore and gold out of the ground may be replaced by these impalpable particles. Lead was the birthplace of neutrino science when chemist Ray Davis began his work on solar neutrinos over thirty years ago. He installed a tank filled with 100,000 gallons of dry cleaning fluid a mile underground in Lead's Homestake mine and began counting neutrino interactions. Eventually, he earned the Nobel Prize for his work; his surprising results changed the world of particle physics. Now that the Homestake mine is closed, scientists, politicians and local citizens have converged on this small town with the hopes of turning it into a national underground laboratory that houses experiments ranging from astrophysics to deep subsurface geobiology. In the process, the state of South Dakota has introduced a unique funding scheme in which science is democratic. Politicians, scientists and regular folks play important roles in the neutrino populist movement, working together to preserve a scientific resource and life in a small town.by Carolyn Y. Johnson.S.M.in Science Writin

Where is My Vote? : Democratizing Iranian Election Law Through International Legal Recourse

In 2009, massive demonstrations ensued in response to the allegedly fraudulent reelection of Iranian president Mahmoud Ahmadinejad. The Iranian government met these protests with violence, imprison-ment, and death. Yet, given the Iranian government’s structure and election law, the ability to resolve election disputes through domestic legal means is virtually non-existent. Many provisions of Iranian election law are democratically flawed, even though Iran is a party to numerous international agreements requiring free and fair elections. This Note examines the availability of international legal recourse for the provisions of Iran’s election law that fail to live up to these standards. The Note suggests that the international community apply multi-lateral political pressure to encourage Iranian election reform

A Survey on Enterprise Network Security: Asset Behavioral Monitoring and Distributed Attack Detection

Enterprise networks that host valuable assets and services are popular and frequent targets of distributed network attacks. In order to cope with the ever-increasing threats, industrial and research communities develop systems and methods to monitor the behaviors of their assets and protect them from critical attacks. In this paper, we systematically survey related research articles and industrial systems to highlight the current status of this arms race in enterprise network security. First, we discuss the taxonomy of distributed network attacks on enterprise assets, including distributed denial-of-service (DDoS) and reconnaissance attacks. Second, we review existing methods in monitoring and classifying network behavior of enterprise hosts to verify their benign activities and isolate potential anomalies. Third, state-of-the-art detection methods for distributed network attacks sourced from external attackers are elaborated, highlighting their merits and bottlenecks. Fourth, as programmable networks and machine learning (ML) techniques are increasingly becoming adopted by the community, their current applications in network security are discussed. Finally, we highlight several research gaps on enterprise network security to inspire future research.Comment: Journal paper submitted to Elseive

The SPATIAL Architecture:Design and Development Experiences from Gauging and Monitoring the AI Inference Capabilities of Modern Applications

Despite its enormous economical and societal impact, lack of human-perceived control and safety is re-defining the design and development of emerging AI-based technologies. New regulatory requirements mandate increased human control and oversight of AI, transforming the development practices and responsibilities of individuals interacting with AI. In this paper, we present the SPATIAL architecture, a system that augments modern applications with capabilities to gauge and monitor trustworthy properties of AI inference capabilities. To design SPATIAL, we first explore the evolution of modern system architectures and how AI components and pipelines are integrated. With this information, we then develop a proof-of-concept architecture that analyzes AI models in a human-in-the-loop manner. SPATIAL provides an AI dashboard for allowing individuals interacting with applications to obtain quantifiable insights about the AI decision process. This information is then used by human operators to comprehend possible issues that influence the performance of AI models and adjust or counter them. Through rigorous benchmarks and experiments in realworld industrial applications, we demonstrate that SPATIAL can easily augment modern applications with metrics to gauge and monitor trustworthiness, however, this in turn increases the complexity of developing and maintaining systems implementing AI. Our work highlights lessons learned and experiences from augmenting modern applications with mechanisms that support regulatory compliance of AI. In addition, we also present a road map of on-going challenges that require attention to achieve robust trustworthy analysis of AI and greater engagement of human oversight