Trojan

About: Trojan is a research topic. Over the lifetime, 2028 publications have been published within this topic receiving 33209 citations.

Origin and dynamical evolution of Neptune Trojans – II. Long-term evolution

Abstract: Following our earlier work studying the formation of the Neptunian Trojan population during the planet's migration, we present results examining the eventual fate of the Trojan clouds produced in that work. A large number of Trojans were followed under the gravitational influence of the giant planets for a period of at least 1Gyr. We find that the stability of Neptunian Trojans seems to be strongly correlated to their initial post-migration orbital elements, with those objects that survive as Trojans for billions of years, displaying negligible orbital evolution. The great majority of these survivors began the integrations with small eccentricities (e 20°. Dynamical integrations of the presently observed Trojans show that five out of the seven are dynamically stable on time-scales comparable to the age of the Solar system, while 2001 QR322 exhibits significant dynamical instability on time-scales of less than 1 Gyr. The seventh Trojan object, 2008 LC18, was only recently discovered and has such large orbital uncertainties that only future studies will be able to determine its stability.

The differing magnitude distributions of the two jupiter trojan color populations

Abstract: The Jupiter Trojans are a significant population of minor bodies in the middle solar system that have garnered substantial interest in recent years. Several spectroscopic studies of these objects have revealed notable bimodalities with respect to near-infrared spectra, infrared albedo, and color, which suggest the existence of two distinct groups among the Trojan population. In this paper, we analyze the magnitude distributions of these two groups, which we refer to as the red and less red color populations. By compiling spectral and photometric data from several previous works, we show that the observed bimodalities are self-consistent and categorize 221 of the 842 Trojans with absolute magnitudes in the range into the two color populations. We demonstrate that the magnitude distributions of the two color populations are distinct to a high confidence level (%) and fit them individually to a broken power law, with special attention given to evaluating and correcting for incompleteness in the Trojan catalog as well as incompleteness in our categorization of objects. A comparison of the best-fit curves shows that the faint-end power-law slopes are markedly different for the two color populations, which indicates that the red and less red Trojans likely formed in different locations. We propose a few hypotheses for the origin and evolution of the Trojan population based on the analyzed data.

Long Periodic Perturbations of Trojan Asteroids

Abstract: The motion of the Trojan asteroids is studied in the elliptic restricted three-body problem of the Sun-Jupiter-asteroid system. Long periodic perturbations of the orbital elements are discussed. Relations between dynamical parameters are considered and comparisons are made with Bien’s and Schubart’s results.

Talking Trojan: Speech and Community in the Iliad

Abstract: Chapter 1 Foreword Chapter 2 Introduction Chapter 3 Kosmos and Clamour: Assembling the Troops Chapter 4 Face-to-Face: Fighting Talk and Talking Trojan Chapter 5 The Language of Hektor: Trojan Kleos Chapter 6 Strife and the Language of Achilles Chapter 7 Conclusion Chapter 8 Bibliography Chapter 9 Index

Memory Trojan Attack on Neural Network Accelerators

Abstract: Neural network accelerators are widely deployed in application systems for computer vision, speech recognition, and machine translation. Due to ubiquitous deployment of these systems, a strong incentive rises for adversaries to attack such artificial intelligence (AI) systems. Trojan is one of the most important attack models in hardware security domain. Hardware Trojans are malicious modifications to original ICs inserted by adversaries, which lead the system to malfunction after being triggered. The globalization of the semiconductor gives a chance for the adversary to conduct the hardware Trojan attacks.Previous works design Neural Network (NN) Trojans with access to the model, toolchain, and hardware platform. However, the threat model is impractical which hinders their real adoption. In this work, we propose a memory Trojan methodology without the help of toolchain manipulation and model parameter information. We first leverage the memory access patterns to identify the input image data. Then we propose a Trojan triggering method based on the dedicated input image other than the circuit events, which has better controllability. The triggering mechanism works well even with environment noise and preprocessing towards the original images. In the end, we implement and verify the effectiveness of accuracy degradation attack.