Pedestrian Trajectory Prediction with Structured Memory Hierarchies

This paper presents a novel framework for human trajectory prediction based on multimodal data (video and radar). Motivated by recent neuroscience discoveries, we propose incorporating a structured memory component in the human trajectory prediction pipeline to capture historical information to improve performance. We introduce structured LSTM cells for modelling the memory content hierarchically, preserving the spatiotemporal structure of the information and enabling us to capture both short-term and long-term context. We demonstrate how this architecture can be extended to integrate salient information from multiple modalities to automatically store and retrieve important information for decision making without any supervision. We evaluate the effectiveness of the proposed models on a novel multimodal dataset that we introduce, consisting of 40,000 pedestrian trajectories, acquired jointly from a radar system and a CCTV camera system installed in a public place. The performance is also evaluated on the publicly available New York Grand Central pedestrian database. In both settings, the proposed models demonstrate their capability to better anticipate future pedestrian motion compared to existing state of the art.Comment: To appear in ECML-PKDD 201

Feeling the Earthship house: eliciting a perspective of posterity through immersive virtual reality

Purpose: The surging cost of living and shortage of affordable and sustainable homes fuel the global housing crisis. Earthship buildings are marketed as the epitome of affordable and sustainable alternative housing. This paper aimed to elicit the perception of Earthship buildings among youngsters in the United Kingdom using immersive virtual reality technology. Additionally, the impact of virtual reality on perception compared with two-dimensional drawings was investigated in the study. Design/methodology/approach: A three-phase, experiment-based survey was adopted: Phase 1: literature review, Earthship house model conception and the virtual environment creation; Phase 2: two-dimensional drawing-based pre-visualisation survey; Phase 3: virtual reality–based post-visualisation survey. Findings: The findings indicated that youngsters had a remarkable, positive change in attitude towards the uptake of the Earthship houses after virtual reality visualisation. In contrast, sustainability experts shared more concerns regarding the concept's viability in the United Kingdom, even after the virtual reality visualisation. However, both youngsters and experts agreed with the pre-eminence of virtual reality over two-dimensional drawings. Originality/value: The lack of awareness about Earthship buildings for posterity was noted in previous studies, which could be attributed to there being very few Earthship buildings in the United Kingdom. The importance of this awareness among youngsters cannot be over-emphasised since youngsters are affected most by the shortage of affordable and sustainable homes. This gap was addressed by enlightening the youth about Earthship houses and imparting awareness through near-real-life virtual reality visualisation

Characterization of insulating coatings for wind-and-react coil fabrication

Electrical insulation breakdown between conductor and coil parts and structures is a limiting factor in the performance of high-field magnets. We have evaluated various insulation coatings for possible application in both Nb Sn and Bi-2212 coil fabrication. Such coatings must be robust to maintain structural integrity and provide adequate voltage standoff after the wind-and-react coil fabrication process. Such processes are characterized by reaction temperatures of 650°C in an inert atmosphere for Nb Sn and 890°C in a pure oxygen atmosphere for Bi-2212, and down to cryogenic temperatures when coils are in service. We present a method of testing standardized samples and report the performance characteristics of oxide layers produced (or applied) by plasma-spray, surface conversion, and "paintable" coatings in common areas of voltage breakdown in coil parts. We also address material compatibility and durability during high-temperature heat treatment and cryogenic shock. Suitable coatings selected in the testing process will be instrumental in improving the performance of future wind-and-react coils. © 2014 AIP Publishing LLC. 3

Acute encephalitis syndrome surveillance, Kushinagar district, Uttar Pradesh, India, 2011-2012

In India, quality surveillance for acute encephalitis syndrome (AES), including laboratory testing, is necessary for understanding the epidemiology and etiology of AES, planning interventions, and developing policy. We reviewed AES surveillance data for January 2011-June 2012 from Kushinagar District, Uttar Pradesh, India. Data were cleaned, incidence was determined, and demographic characteristics of cases and data quality were analyzed. A total of 812 AES case records were identified, of which 23\% had illogical entries. AES incidence was highest among boys<6 years of age, and cases peaked during monsoon season. Records for laboratory results (available for Japanese encephalitis but not AES) and vaccination history were largely incomplete, so inferences about the epidemiology and etiology of AES could not be made. The low-quality AES/Japanese encephalitis surveillance data in this area provide little evidence to support development of prevention and control measures, estimate the effect of interventions, and avoid the waste of public health resources

Recovering from failure by asking for help

Robots inevitably fail, often without the ability to recover autonomously. We demonstrate an approach for enabling a robot to recover from failures by communicating its need for specific help to a human partner using natural language. Our approach automatically detects failures, then generates targeted spoken-language requests for help such as “Please give me the white table leg that is on the black table.” Once the human partner has repaired the failure condition, the system resumes full autonomy. We present a novel inverse semantics algorithm for generating effective help requests. In contrast to forward semantic models that interpret natural language in terms of robot actions and perception, our inverse semantics algorithm generates requests by emulating the human’s ability to interpret a request using the Generalized Grounding Graph (G[superscript 3]) framework. To assess the effectiveness of our approach, we present a corpus-based online evaluation, as well as an end-to-end user study, demonstrating that our approach increases the effectiveness of human interventions compared to static requests for help.Boeing CompanyU.S. Army Research Laboratory (Robotics Collaborative Technology Alliance

Pengaruh Mekanisme Good Orporategovernance Terhadap Kinerja Perusahaan Perbankan (Studi Empiris pada Perusahaan Perbankan yang terdaftar di Bursa Efek Indonesia 2016-2019)

This study aims to determine the effect of Good Corporate Governance on performance Banking company. Good Corporate governance in this study is proxied by institutional ownership, position of the board of directors, composition of commissioners independent, and the position of the audit committee. The sample is banking companies listed on the Indonesia Stock Exchange for the period 2016-2019 as many as 41 banking companies. Data analysis used multiple linear regression. The results showed that the position of the board of directors and the position of the audit committee had an effect on the company, while institutional ownership and the composition of independent commissioners had no effect on the performance of banking companies

Estimating the incidence of acute infectious intestinal disease in the community in the UK:A retrospective telephone survey

Objectives: To estimate the burden of intestinal infectious disease (IID) in the UK and determine whether disease burden estimations using a retrospective study design differ from those using a prospective study design. Design/Setting: A retrospective telephone survey undertaken in each of the four countries comprising the United Kingdom. Participants were randomly asked about illness either in the past 7 or 28 days. Participants: 14,813 individuals for all of whom we had a legible recording of their agreement to participate Outcomes: Self-reported IID, defined as loose stools or clinically significant vomiting lasting less than two weeks, in the absence of a known non-infectious cause. Results: The rate of self-reported IID varied substantially depending on whether asked for illness in the previous 7 or 28 days. After standardising for age and sex, and adjusting for the number of interviews completed each month and the relative size of each UK country, the estimated rate of IID in the 7-day recall group was 1,530 cases per 1,000 person-years (95% CI: 1135 – 2113), while in the 28-day recall group it was 533 cases per 1,000 person-years (95% CI: 377 – 778). There was no significant variation in rates between the four countries. Rates in this study were also higher than in a related prospective study undertaken at the same time. Conclusions: The estimated burden of disease from IID varied dramatically depending on study design. Retrospective studies of IID give higher estimates of disease burden than prospective studies. Of retrospective studies longer recall periods give lower estimated rates than studies with short recall periods. Caution needs to be exercised when comparing studies of self-reported IID as small changes in study design or case definition can markedly affect estimated rates