Development of low temperature dielectric coatings for electrical conductors thirteenth quarterly report

Dielectric loss and connector problems at cryogenic temperatur

Study made of dielectric properties of promising materials for cryogenic capacitors

Experimental investigations were conducted to determine dielectric properties of promising materials for cryogenic capacitors to be used in energy storage and pulse applications. The three classes of materials investigated were inorganic bonded ferroelectric materials, anodic coatings on metal foils, and polar low temperature liquids

Evaluation of thin wall spacecraft electrical wiring. Volume I - Test methods and facilities Technical report no. 1

Test methods and facilities used in evaluating performance characteristics of thin wall spacecraft electric wiring under simulated spacecraft environment

Cryogenic capacitor investigation Final report

Electrical and mechanical properties data on dielectrics to estimate parameters of cryogenic capacitor

Evaluation of thin wall spacecraft electrical wiring. Volume II - Test results and facilities Technical report no. 1

Insulation resistance of spacecraft wiring against abrasion, radiation effects, oxygen environment, and extrusion lubricant

Evaluation of thin wall spacecraft electrical wiring. Volume II - Summary and conclusions Final report

Performance characteristics environmentally determined for spacecraft, thin wall wiring - summary and conclusion

High tone lowering and raising in Tsua

The Tsua language is an Eastern Kalahari Khoe language of Botswana (Chebanne 2014). Tsua tone production displays complex Fundamental Frequency (F0) trajectories. Lexical data show that this language has three tone levels: High (H), Mid (M), and Low (L), with the following surface tone melodies: [HH, HM, HL, MM, MH, ML]. High tones may be lowered when they occur following voiced obstruents, aspirated obstruents or the glottal fricative /h/ in root-initial position, a typologically rare pattern. This results in two depressed melodies: depressed HM[DH-M] and depressed HL [DH-L]. Both clicks and non-clicks participate in this interaction. We refer to this tonal depression pattern as High Tone Lowering (HTL). HTL may be formally accounted for via the Low tone insertion rule: ∅ → L / [-sonorant, +slack] ___ H [-H] #. Recent analysis suggests that Super High (SH) tones are derived from /H/ when docked to the high vowels [i], [u] and are not phonemic. For example, underlying /HL/ tűù “to collect and remove ash” is produced with SH-L tones on the surface. We refer to this as High Tone Raising (HTR). Elderkin (1988) reports a similar finding in Ju|ʼhoan in which a sequence of successive extrahigh tones is only found in click-initial morphs when the final vowel is [i] or [u]. It may be that an Intrinsic F0 (IF0) effect from the Tsua high vowels was a historical factor that led to the genesis of HTR. Given that voiced, aspirated and /h/ consonant types depress a root-initial H tone and the high vowels [i], [u] raise H tones, the paper considers phonetically-driven origins of these patterns.Keywords: tone; depressor consonants; high vowels; Khoisan; Intrinsic F

Evaluation of thin wall spacecraft electrical wiring. Volume I - Test results Final report

Performance characteristics environmentally determined for spacecraft, thin wall wirin

CODEX: A Cluster-Based Method for Explainable Reinforcement Learning

Despite the impressive feats demonstrated by Reinforcement Learning (RL), these algorithms have seen little adoption in high-risk, real-world applications due to current difficulties in explaining RL agent actions and building user trust. We present Counterfactual Demonstrations for Explanation (CODEX), a method that incorporates semantic clustering, which can effectively summarize RL agent behavior in the state-action space. Experimentation on the MiniGrid and StarCraft II gaming environments reveals the semantic clusters retain temporal as well as entity information, which is reflected in the constructed summary of agent behavior. Furthermore, clustering the discrete+continuous game-state latent representations identifies the most crucial episodic events, demonstrating a relationship between the latent and semantic spaces. This work contributes to the growing body of work that strives to unlock the power of RL for widespread use by leveraging and extending techniques from Natural Language Processing.Comment: Presented at the International Joint Conference on Artificial Intelligence (IJCAI) 2023 Workshop on Explainable Artificial Intelligence (XAI