An adaptive hierarchical sliding mode controller for autonomous underwater vehicles

The paper addresses a problem of efficiently controlling an autonomous underwater vehicle (AUV), where its typical underactuated model is considered. Due to critical uncertainties and nonlinearities in the system caused by unavoidable external disturbances such as ocean currents when it operates, it is paramount to robustly maintain motions of the vehicle over time as expected. Therefore, it is proposed to employ the hierarchical sliding mode control technique to design the closed-loop control scheme for the device. However, exactly determining parameters of the AUV control system is impractical since its nonlinearities and external disturbances can vary those parameters over time. Thus, it is proposed to exploit neural networks to develop an adaptive learning mechanism that allows the system to learn its parameters adaptively. More importantly, stability of the AUV system controlled by the proposed approach is theoretically proved to be guaranteed by the use of the Lyapunov theory. Effectiveness of the proposed control scheme was verified by the experiments implemented in a synthetic environment, where the obtained results are highly promising. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Linh Nguyen" is provided in this record*

TỔNG HỢP VẬT LIỆU TiO2/rGO VÀ ỨNG DỤNG PHÂN TÍCH ĐỒNG THỜI CADIMI VÀ CHÌ BẰNG PHƯƠNG PHÁP VON – AMPE HOÀ TAN

In this paper, graphite powder was used to produce graphene oxide (GO), which was then reduced by ascorbic acid to gain reduced graphene oxide (rGO) with the Hummer method. Nano titanium dioxide (TiO2) is physically and chemically stable and used in numerous environmental applications. Reduced graphene oxide was modified with TiO2. The obtained TiO2/rGO was characterized by using X-ray diffraction, scanning electron microscopy and nitrogen adsorption/desorption isotherms. The synthesized material was applied to modify a glassy carbon electrode for the simultaneous determination of cadmium and lead with differential pulse anodic stripping voltammetry (DP-ASV). The method yielded a high sensitivity (0.329 ± 0.005 and 0.346 ± 0.004 μA/ppb for CdII and PbII), low detection limit (3.17 ppb and 2.42 ppb for CdII and PbII) and a good linear correlation between Ip and the metal concentration in the range of 6–80 ppb for both metals (R2 ≥ 0.998).Trong bài báo này, graphen oxit (GO) được tổng hợp từ bột graphit bằng phương pháp Hummer; GO được khử bằng axit ascorbic thành graphen  oxit dạng khử (rGO). Titan dioxit (TiO2) cấu trúc nano có tính ổn định vật lý và hóa học cao với nhiều ứng dụng, đặc biệt là trong lĩnh vực môi trường. Vật liệu TiO2/rGO được đặc trưng bằng nhiễu xạ tia X (XRD) và hiển vi điện tử quét (SEM) để chứng minh các đặc điểm hình thái của bề mặt chất hấp phụ. Quá trình hấp phụ – giải hấp phụ nitơ được sử dụng để xác định diện tích bề mặt riêng và độ xốp. Vật liệu vừa tổng hợp được ứng dụng để biến tính điện cực nền than thủy tinh nhằm xác định đồng thời hàm lượng cadimi và chì bằng phương pháp von-ampe hòa tan anot xung vi phân (DP-ASV). Độ nhạy của phương pháp đối với CdII và PbII là 0,329 ± 0,005 và 0,346 ± 0,004 μA/ppb. Giới hạn phát hiện đối với CdII và PbII là 3,17 và 2,42 ppb. Giữa Ip và nồng độ kim loại có tương quan tuyến tính tốt trong khoảng 6–80 ppb với R2 ≥ 0,998

Deep Learning-Based Signal Detection for Dual-Mode Index Modulation 3D-OFDM

In this paper, we propose a deep learning-based signal detector called DuaIM-3DNet for dual-mode index modulation-based three-dimensional (3D) orthogonal frequency division multiplexing (DM-IM-3D-OFDM). Herein, DM-IM-3D- OFDM is a subcarrier index modulation scheme which conveys data bits via both dual-mode 3D constellation symbols and indices of active subcarriers. Thus, this scheme obtains better error performance than the existing IM schemes when using the conventional maximum likelihood (ML) detector, which, however, suffers from high computational complexity, especially when the system parameters increase. In order to address this fundamental issue, we propose the usage of a deep neural network (DNN) at the receiver to jointly and reliably detect both symbols and index bits of DM-IM-3D-OFDM under Rayleigh fading channels in a data-driven manner. Simulation results demonstrate that our proposed DNN detector achieves near-optimal performance at significantly lower runtime complexity compared to the ML detector

Perforator Mapping of the Superficial and Deep Inferior Epigastric Artery in the Abdominal Region of the Vietnamese

BACKGROUND: Previous studies worldwide have investigated the anatomy of the perforators of the deep inferior epigastric arteries to figure out the navigation patterns of the perforators on the abdominal wall. This has been inconsistent amongst the researchers about how to select the perforator to increase the blood supply area for the flap. AIM: To explore the blood supply area of the perforators of the superficial and deep inferior epigastric artery in the abdominal region of the Vietnamese by dissection and 64-slice multislice computed tomography (64-slice MSCT). METHODS: A descriptive cross-sectional study Center from September 2014 to September 2016 on two groups including 30 cadavers fixed by formalin 10% in Anatomy Department of UPNT, and 37 patients getting the 64-slice MSCT abdominal arteries angiogram. RESULTS: The superficial epigastric arteries at the level of the inguinal ligament were located in the middle region, with 96% (right) and 88.5% (left). The anterior superior iliac spine level was in the middle, and lateral regions of 68% and 32% respectively. The level of the umbilical cord was in the lateral region with 66.7% and 85.7%, respectively. There were about 6 perforators of the deep inferior epigastric arteries located in the navel area. These perforators were 70% in the medial region and 30% in the middle region. CONCLUSION: Mapping the blood supply based on the fourth space in the abdominal region in which the superfical inferior epigastric arteries supplied the lateral area. The middle and the internal ones were the perforators of the deep inferior epigastric arteries

STRESS AND COPING STRATEGIES OF SECONDARY SCHOOL TEACHERS IN TRA CU DISTRICT, TRA VINH PROVINCE, VIETNAM

By using a cross-sectional study, this study aimed to determine the ratio of occupational stress, stress levels and the relationship between stress status and social characteristics of the sample, factors at work, as well as how secondary school teachers respond to stress in Tra Cu District, Tra Vinh Province. The study conducted a survey to investigate 466 teachers currently teaching at 14 secondary schools in Tra Cu District, Tra Vinh Province, from May 2020 to June 2020. Research results showed that the percentage of teachers who suffered mild stress and severe stress was 18.9% and 8.1%, respectively. The signs of stress in teachers correlated with several factors such as job demand, work control and ways of coping at work. When the average score of the assessment “job demand” or “work control” increased by one point, the rate of stress on teachers was reduced by 23% (95% CI: 0.73 – 0.81) and 12% (95% CI: 0.84 – 0.93) respectively. By contrast, the average score of “confrontation” increased by one point  leading to 3.21 times higher (95% CI: 2.61 – 3.96) possibility of causing stress. As well as the average score of "avoidance" increased by one point, the possibility of causing stress in teachers increased 3.03 times (95% CI: 2.45 – 3.74). The findings showed that mental health problems in teachers at secondary schools, in general and in Tra Cu District, Tra Vinh Province in particular, had not received sufficient attention. Therefore, the problems should be taken seriously not only by teachers school administration

Exploring Italian Consumers’ Willingness to Pay for Sustainable Fashion: The Roles of Eco-Consciousness and Vintage Preference

Studying the psychology behind the purchase of eco-friendly products and second-hand items can offer valuable insights to promote sustainable consumer behavior. This paper examines factors influencing Italian consumers’ willingness to pay regarding bio-based clothing and second-hand items. Drawing from data collected from 402 Italian participants, we examine how motivations and socio-demographic factors are associated with willingness to pay in the context of sustainable fashion. Our findings reveal that motivations related to environmental concerns are positively associated with consumers’ willingness to pay higher premiums for bio-based clothing. Higher income and education levels are also associated with the willingness to pay higher premiums. Meanwhile, motivation related to vintage appeal is associated with lower desired discounts for second-hand items, particularly among older consumers. Gender differences also influence discount preferences, with men seeking larger discounts on second-hand clothing compared to women. By providing insights into Italian consumers’ sustainable fashion choices, this study offers implications for businesses, policymakers, and researchers aiming to promote eco-conscious consumption and sustainability in the fashion industry

A comprehensive study on the efficacy of a wearable sleep aid device featuring closed-loop real-time acoustic stimulation

Difficulty falling asleep is one of the typical insomnia symptoms. However, intervention therapies available nowadays, ranging from pharmaceutical to hi-tech tailored solutions, remain ineffective due to their lack of precise real-time sleep tracking, in-time feedback on the therapies, and an ability to keep people asleep during the night. This paper aims to enhance the efficacy of such an intervention by proposing a novel sleep aid system that can sense multiple physiological signals continuously and simultaneously control auditory stimulation to evoke appropriate brain responses for fast sleep promotion. The system, a lightweight, comfortable, and user-friendly headband, employs a comprehensive set of algorithms and dedicated own-designed audio stimuli. Compared to the gold-standard device in 883 sleep studies on 377 subjects, the proposed system achieves (1) a strong correlation (0.89 ± 0.03) between the physiological signals acquired by ours and those from the gold-standard PSG, (2) an 87.8% agreement on automatic sleep scoring with the consensus scored by sleep technicians, and (3) a successful non-pharmacological real-time stimulation to shorten the duration of sleep falling by 24.1 min. Conclusively, our solution exceeds existing ones in promoting fast falling asleep, tracking sleep state accurately, and achieving high social acceptance through a reliable large-scale evaluation

TextANIMAR: Text-based 3D Animal Fine-Grained Retrieval

3D object retrieval is an important yet challenging task, which has drawn more and more attention in recent years. While existing approaches have made strides in addressing this issue, they are often limited to restricted settings such as image and sketch queries, which are often unfriendly interactions for common users. In order to overcome these limitations, this paper presents a novel SHREC challenge track focusing on text-based fine-grained retrieval of 3D animal models. Unlike previous SHREC challenge tracks, the proposed task is considerably more challenging, requiring participants to develop innovative approaches to tackle the problem of text-based retrieval. Despite the increased difficulty, we believe that this task has the potential to drive useful applications in practice and facilitate more intuitive interactions with 3D objects. Five groups participated in our competition, submitting a total of 114 runs. While the results obtained in our competition are satisfactory, we note that the challenges presented by this task are far from being fully solved. As such, we provide insights into potential areas for future research and improvements. We believe that we can help push the boundaries of 3D object retrieval and facilitate more user-friendly interactions via vision-language technologies.Comment: arXiv admin note: text overlap with arXiv:2304.0573

Effects of water scarcity awareness and climate change belief on recycled water usage willingness: Evidence from New Mexico, United States

The global water crisis is being exacerbated by climate change, even in the United States. Recycled water is a feasible alternative to alleviate the water shortage, but it is constrained by humans’ perceptions. The current study examines how residents’ water scarcity awareness and climate change belief influence their willingness to use recycled water directly and indirectly. Bayesian Mindsponge Framework (BMF) analytics was employed on a dataset of 1831 residents in Albuquerque, New Mexico, an arid inland region in the US. We discovered that residents’ willingness to use direct recycled potable water is positively affected by their awareness of water scarcity, but the effect is conditional on their belief in the impacts of climate change on the water cycle. Meanwhile, the willingness to use indirect recycled potable water is influenced by water scarcity awareness, and the belief in climate change further enhances this effect. These findings implicate that fighting climate change denialism and informing the public of the water scarcity situation in the region can contribute to the effectiveness and sustainability of long-term water conservation and climate change alleviation efforts