MISAR: A Multimodal Instructional System with Augmented Reality

Augmented reality (AR) requires the seamless integration of visual, auditory, and linguistic channels for optimized human-computer interaction. While auditory and visual inputs facilitate real-time and contextual user guidance, the potential of large language models (LLMs) in this landscape remains largely untapped. Our study introduces an innovative method harnessing LLMs to assimilate information from visual, auditory, and contextual modalities. Focusing on the unique challenge of task performance quantification in AR, we utilize egocentric video, speech, and context analysis. The integration of LLMs facilitates enhanced state estimation, marking a step towards more adaptive AR systems. Code, dataset, and demo will be available at https://github.com/nguyennm1024/misar.Comment: Accepted at ICCV 2023 - AV4D, 6 figures, 2 table

Investigating the effects of noise exposure on intensification of diabetes mellitus, serum glucose, cortisol level and body weight of the male mice

Noise is considered as one of the harmful factors at industrial environments. It affects human health in different aspects including harmful influences on auditory, vision, neurological and psychiatric systems, hormones, physiological and mental systems. Paying attention to the importance of hormonal effects on human body seems to possess crucial importance. The aim of the present study is to investigate the effects of noise exposure on variation of serum levels of glucose and cortisol at Syrian adult male mouse. 36 Syrian male adult mice were randomly categorized into two experiment and control groups. Garlic powder was added to the mice pelleted food meal (equal to 1% of their daily diet) to study its effect on the cortisol and glucose serum levels. The mice pelleted food contains starch, glucose, isolated soya protein, etc., which are the rich resources of A, C, B1, B2 and B6 vitamins. Streptozotocin (60mg/kg) was injected to the mice at experiment group which were under noise exposure with intensity of 90dB in frequency range of 700-5700Hz. Noise were generated using CoolEdit software and distributed to the fabricated box for 30 days (8h/d).  Fasting cortisol and glucose serum levels were measured for mice of both groups 24h after finishing the exposure period. Results indicated that the glucose serum level in non-diabetic and diabetic subjects under noise exposure had significant difference (p<0.002) with the subjects at control group. Also, cortisol level in non-diabetic and diabetic subjects under noise exposure indicated significant difference (p<0.002) with the subjects at control group. Exposure to noise with intensity of 90dB at frequency range of 700-5700Hz increases the glucose and cortisol serum levels

Separating Invisible Sounds Toward Universal Audiovisual Scene-Aware Sound Separation

The audio-visual sound separation field assumes visible sources in videos, but this excludes invisible sounds beyond the camera's view. Current methods struggle with such sounds lacking visible cues. This paper introduces a novel "Audio-Visual Scene-Aware Separation" (AVSA-Sep) framework. It includes a semantic parser for visible and invisible sounds and a separator for scene-informed separation. AVSA-Sep successfully separates both sound types, with joint training and cross-modal alignment enhancing effectiveness.Comment: Accepted at ICCV 2023 - AV4D, 4 figures, 3 table

A Novel Approach Based on DEMATEL Method for Causal Modeling an Effective Factors in Falling from Height Accidents in Construction Projects

Falling from height known as one of the most important factors that leads to fatal accidents in the construction industry. The purpose of this study was to investigate and identify the effective factors in the occurrence of falling from height accidents in the construction projects and determine the causal relationships between organizational, individual and environmental factors. In this research, the surveyed population was the workers of five construction projects of a gas refinery in south of Iran from 2011 to 2015. Using the Integrated Management System (IMS) information, factors and sub-factors affecting the occurrence of falling from height accidents in the construction projects were determined. Then, a semi-comparative questionnaire based on the DEMATEL technique was designed and distributed among 10 experts at two different periods. Based on the expert's opinions, the identified factors and sub-factors were classified into three main factors and fourteen sub-factors, respectively. Then, the causal relationships between each the effective factor were identified, using DEMATEL technique. The results of DEMATEL technique revealed that the individual factors were considered to be the most important criteria, as it has acquired the maximum (D+R) value, i.e., 36.689 whereas, organizational factors had scored the least, i.e., 35.180. Accordingly, organizational factors and their sub-factors had a substantial effect on the falling from height accidents and were considered as causal variables (D-R>0), while, the indices of individual and environmental factors were the effect variables (D-

A Socio-linguistic Study on Relational Identity and Language Learning Performance within Iranian English Language Learners: A Focus on Parental Involvement

In this study, the researchers intended to screen English language learning perceptions on four relational contexts including language learners’ family members, English teachers, classmates and their best friends. To this aim, a group of Iranian adolescents (no=38), with an age range of 12-16 were randomly selected from three language institutes located in Sabzevar, Khorasan Razavi. The researchers distributed a modified version of a validated questionnaire by Taylor (2010) titled Quadripolar Model of Identity (TQMI) to investigate variability of the learners’ perceptions for 1)learning English with regard to four relational contexts above and 2) their insights over two conceived selves including public and imposed self. Findings indicated that within diverse characterizations of personality types, the preferences for including “family members” in the learning processes and future functioning were conspicuous. As to respondents’ preferences towards achieving their goals in learning English regarding their two selves (public and imposed), it became clear that the level of imposing on the part of “language teachers” and “families” on the learners was roughly the same in both present and future self categorization presentations and in the public self, again family members had more rates. Finally, the results from the data on the relationship between two aspects of identity (imposed vs. public), and language learning success, measures represented a significant relationship for only imposed identity indicators. Implications for overall recognition of other-related people in the language learning processes were discussed in the end

Whole-Body Vibration Exposure Study in Intercity Mini-Bus Drivers-The Risk of Musculoskeletal Disorders

Exposure to Whole Body Vibration (WBV) is one of the most important risk factors for musculoskeletal disorders (MSDs), which drivers are likely to report non-specific health complaints. The purpose of this study was to investigate the association between whole body vibrations with musculoskeletal disorders among intercity mini-buses drivers. 80 intercity mini-bus drivers were participated in this study. The values of the frequency-weighted Root Mean Square (RMS), Vibration Dose Values (VDV) and Crest Factor (CF) was measured using the SVAN-958 and the SV39A/L accelerometer, in accordance with ISO 2631-1. ANOVA, Post-hoc analysis, and correlation tests were used to analyze the obtained data using SPSS 23. This study show that the overall equivalent acceleration A_eq (T) difference in various studied models of minibuses was significant (