An indigenous state-of-the-art Digital Automatic Recording System (DARS) for surface meteorological observatories

The existing self recording instruments of India Meteorological Department (IMD) urgently require modernization by considering the demand for its real time interface with the modern now-casting tools like Doppler Weather Radar (DWR), real time weather models etc. Hence IMD has designed and developed a state-of-the-art Digital Automatic Recording System (DARS) for the automatic measurement, storage, display and communication of meteorological parameters like Atmospheric pressure, Wind speed, Wind direction, Air temperature, Relative humidity and Rainfall. The system has its origin from the existing IMD make High Wind Speed Recording (HWSR) System installed at more than 15 coastal observatories in the eastern coast of India, by suitable integration with different types of electronic meteorological sensors available in the global market. Authors have participated at various stages of design, development, installation, and data validation of the system. This paper highlights the design aspects of indigenous system and its data quality with respect to imported AWS and ground truth observations and the proposal for its installation at selected villages in a district to study the spatial variation of Wind and Rainfall during Monsoon period.

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A Novel Visible Light Sensing and Recording System Enabled by Integration of Photodetector and Electrochromic Devices

Nanoscale ◽

10.1039/d1nr01805a ◽

2021 ◽

Author(s):

Wenqiang Wu ◽

Mengmeng Zhou ◽

Dong Li ◽

Shengman Li ◽

Zheng Yang ◽

...

Keyword(s):

Visible Light ◽

Real Time ◽

State Of The Art ◽

Optoelectronic Devices ◽

The State ◽

Recording System ◽

Effective Strategy ◽

Electrochromic Devices ◽

Light Sensing ◽

Specific Goal

The integration of multiple electronic or optoelectronic devices is an effective strategy to use their unique functions to realize a specific goal. The state-of-the-art photodetectors (PDs) array can realize real-time...

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Current Issues: Advanced Digital Technology for Supervising Graduate Clinicians

Perspectives on Administration and Supervision ◽

10.1044/aas20.1.9 ◽

2010 ◽

Vol 20 (1) ◽

pp. 9-13 ◽

Cited By ~ 2

Author(s):

Glenn Tellis ◽

Lori Cimino ◽

Jennifer Alberti

Keyword(s):

Real Time ◽

Digital Technology ◽

Clinical Training ◽

State Of The Art ◽

Clinical Skills ◽

Slow Motion ◽

Video Capture ◽

Microsoft Excel ◽

Clinical Supervisors ◽

Training And Supervision

Abstract The purpose of this article is to provide clinical supervisors with information pertaining to state-of-the-art clinic observation technology. We use a novel video-capture technology, the Landro Play Analyzer, to supervise clinical sessions as well as to train students to improve their clinical skills. We can observe four clinical sessions simultaneously from a central observation center. In addition, speech samples can be analyzed in real-time; saved on a CD, DVD, or flash/jump drive; viewed in slow motion; paused; and analyzed with Microsoft Excel. Procedures for applying the technology for clinical training and supervision will be discussed.

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Wind speed forecasting using a new multi-factor fusion and multi-resolution ensemble model with real-time decomposition and adaptive error correction

Energy Conversion and Management ◽

10.1016/j.enconman.2020.112995 ◽

2020 ◽

Vol 217 ◽

pp. 112995 ◽

Cited By ~ 2

Author(s):

Hui Liu ◽

Rui Yang ◽

Zhu Duan

Keyword(s):

Wind Speed ◽

Error Correction ◽

Real Time ◽

Ensemble Model ◽

Wind Speed Forecasting ◽

Time Decomposition

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Multi-step real-time wind speed prediction based on convolution memory network

Wind Engineering ◽

10.1177/0309524x21998266 ◽

2021 ◽

pp. 0309524X2199826

Author(s):

Guowei Cai ◽

Yuqing Yang ◽

Chao Pan ◽

Dian Wang ◽

Fengjiao Yu ◽

...

Keyword(s):

Feature Extraction ◽

Wind Speed ◽

Real Time ◽

Wind Power ◽

Spatial Correlation ◽

Prediction Accuracy ◽

Spatial Information ◽

Spatial Association ◽

Spatial Feature ◽

Time Prediction

Multi-step real-time prediction based on the spatial correlation of wind speed is a research hotspot for large-scale wind power grid integration, and this paper proposes a multi-location multi-step wind speed combination prediction method based on the spatial correlation of wind speed. The correlation coefficients were determined by gray relational analysis for each turbine in the wind farm. Based on this, timing-control spatial association optimization is used for optimization and scheduling, obtaining spatial information on the typical turbine and its neighborhood information. This spatial information is reconstructed to improve the efficiency of spatial feature extraction. The reconstructed spatio-temporal information is input into a convolutional neural network with memory cells. Spatial feature extraction and multi-step real-time prediction are carried out, avoiding the problem of missing information affecting prediction accuracy. The method is innovative in terms of both efficiency and accuracy, and the prediction accuracy and generalization ability of the proposed method is verified by predicting wind speed and wind power for different wind farms.

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Self-Regulating Demand and Supply Equilibrium in Joint Simulation of Travel Demand and a Ride-Pooling Service

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/0361198121997140 ◽

2021 ◽

pp. 036119812199714

Author(s):

Gabriel Wilkes ◽

Roman Engelhardt ◽

Lars Briem ◽

Florian Dandl ◽

Peter Vortisch ◽

...

Keyword(s):

Real Time ◽

Travel Demand ◽

State Of The Art ◽

Choice Model ◽

Mode Choice ◽

Attractive Alternative ◽

Full Potential ◽

Demand Model ◽

Modeling Framework ◽

Demand And Supply

This paper presents the coupling of a state-of-the-art ride-pooling fleet simulation package with the mobiTopp travel demand modeling framework. The coupling of both models enables a detailed agent- and activity-based demand model, in which travelers have the option to use ride-pooling based on real-time offers of an optimized ride-pooling operation. On the one hand, this approach allows the application of detailed mode-choice models based on agent-level attributes coming from mobiTopp functionalities. On the other hand, existing state-of-the-art ride-pooling optimization can be applied to utilize the full potential of ride-pooling. The introduced interface allows mode choice based on real-time fleet information and thereby does not require multiple iterations per simulated day to achieve a balance of ride-pooling demand and supply. The introduced methodology is applied to a case study of an example model where in total approximately 70,000 trips are performed. Simulations with a simplified mode-choice model with varying fleet size (0–150 vehicles), fares, and further fleet operators’ settings show that (i) ride-pooling can be a very attractive alternative to existing modes and (ii) the fare model can affect the mode shifts to ride-pooling. Depending on the scenario, the mode share of ride-pooling is between 7.6% and 16.8% and the average distance-weighed occupancy of the ride-pooling fleet varies between 0.75 and 1.17.

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Systematic Review on Human Skin-Compatible Wearable Photoplethysmography Sensors

Applied Sciences ◽

10.3390/app11052313 ◽

2021 ◽

Vol 11 (5) ◽

pp. 2313

Author(s):

Inho Lee ◽

Nakkyun Park ◽

Hanbee Lee ◽

Chuljin Hwang ◽

Joo Hee Kim ◽

...

Keyword(s):

Systematic Review ◽

Health Care ◽

Real Time ◽

Human Skin ◽

State Of The Art ◽

Electronic Devices ◽

Semiconducting Materials ◽

Physiological Conditions ◽

Technological Developments ◽

Monitoring Technologies

The rapid advances in human-friendly and wearable photoplethysmography (PPG) sensors have facilitated the continuous and real-time monitoring of physiological conditions, enabling self-health care without being restricted by location. In this paper, we focus on state-of-the-art skin-compatible PPG sensors and strategies to obtain accurate and stable sensing of biological signals adhered to human skin along with light-absorbing semiconducting materials that are classified as silicone, inorganic, and organic absorbers. The challenges of skin-compatible PPG-based monitoring technologies and their further improvements are also discussed. We expect that such technological developments will accelerate accurate diagnostic evaluation with the aid of the biomedical electronic devices.

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From STEAM to CHEER: A Case Study of Design Education Development in Taiwan

Education Sciences ◽

10.3390/educsci11040171 ◽

2021 ◽

Vol 11 (4) ◽

pp. 171

Author(s):

Chinlon Lin ◽

Jianping Huang ◽

Rungtai Lin

Keyword(s):

Design Education ◽

Socioeconomic Development ◽

Global Market ◽

Design Development ◽

Education Development ◽

Public And Private ◽

Future Goals ◽

Science Technology ◽

Engineering Mathematics ◽

Successful Design

The purpose of this study is to provide other developing countries in the region a reference on the successful design education reformation in Taiwan. The study first reviews Taiwan’s economic and design development to show their interconnection with local culture and the global market. Next, the study explores Taiwan’s design education development which transforms from adopting STEM (science, technology, engineering, mathematics) to STEAM (science, technology, engineering, art, mathematics) in secondary school, and understands how it overcomes challenges by the help of both public and private sectors. Last, a conceptual framework is proposed to present and study Taiwan’s design education development. The result from case studies validates that STEAM can reach SAD (science, arts, and design) in higher education and CHEER (collaboration, humanity, empathy, ecology, and renaissance) in design practice. Therefore, the result and implications provided by this study can serve as a reference for other countries in the region who share similar cultural and socioeconomic development and future goals as Taiwan.

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Smartphone-Based Indoor Visual Navigation with Leader-Follower Mode

ACM Transactions on Sensor Networks ◽

10.1145/3448417 ◽

2021 ◽

Vol 17 (2) ◽

pp. 1-22

Author(s):

Jingao Xu ◽

Erqun Dong ◽

Qiang Ma ◽

Chenshu Wu ◽

Zheng Yang

Keyword(s):

Real Time ◽

Environmental Changes ◽

State Of The Art ◽

Visual Navigation ◽

Indoor Navigation ◽

Location Services ◽

Localization And Mapping ◽

Leaders And Followers ◽

Indoor Navigation System ◽

Free Pair

Existing indoor navigation solutions usually require pre-deployed comprehensive location services with precise indoor maps and, more importantly, all rely on dedicatedly installed or existing infrastructure. In this article, we present Pair-Navi, an infrastructure-free indoor navigation system that circumvents all these requirements by reusing a previous traveler’s (i.e., leader) trace experience to navigate future users (i.e., followers) in a Peer-to-Peer mode. Our system leverages the advances of visual simultaneous localization and mapping ( SLAM ) on commercial smartphones. Visual SLAM systems, however, are vulnerable to environmental dynamics in the precision and robustness and involve intensive computation that prohibits real-time applications. To combat environmental changes, we propose to cull non-rigid contexts and keep only the static and rigid contents in use. To enable real-time navigation on mobiles, we decouple and reorganize the highly coupled SLAM modules for leaders and followers. We implement Pair-Navi on commodity smartphones and validate its performance in three diverse buildings and two standard datasets (TUM and KITTI). Our results show that Pair-Navi achieves an immediate navigation success rate of 98.6%, which maintains as 83.4% even after 2 weeks since the leaders’ traces were collected, outperforming the state-of-the-art solutions by >50%. Being truly infrastructure-free, Pair-Navi sheds lights on practical indoor navigations for mobile users.

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