Passive infrared (PIR) sensors are the most popular deployed in buildings for individual presence detection. However, PIR motion detectors nature, responding only to incident radiation variation, which leads false negative detections, inaccurate occupancy estimation, and uncomfortable lighting swings waste of energy. To address this issue, an optical shutter driven by a Lavet motor (LAMPIR) sensor is developed true In comparison with our previously chopped (C-PIR) rotationally (Ro-PIR)...

Passive infrared (PIR) sensors are the current choice for individual presence detection in buildings. A major problem is that PIR only detect moving individuals, which often provides false negative detections, resulting uncomfortable lighting/temperature swings, short lifetime of equipment, and waste energy. In this paper, a rotating shutter introduced to rotationally shuttered (Ro-PIR) sensor explore its functionalities beyond motion sensing, including stationary localization, tracking,...

Thermal power sector plays a crucial role in achieving China’s climate mitigation targets due to its large contribution the nation’s overall carbon emissions. This study constructs unique nationwide unit-level dataset containing more than 1,000 coal-fired units (CPUs) evaluate heterogeneous effects of pilot Emission Trading Schemes (ETSs). Results disclose that ETSs generate prominent reduction effect coal consumption through electricity production shrinkage and output substitution among...

This paper focuses on a novel financial event prediction task that takes historical chain as input and predicts what will happen next. We introduce news supplementary information to solve problems of multiple interpretations same event. Besides, gated graph neural network based approach is utilized capture complicated relationships between graphs for better prediction. For the evaluation, we build new dataset consisting events thousands Chinese listed companies from 2013 2017. Experimental...

Passive infrared (PIR) sensors, currently used for indoor lighting control report frequent false negative detects stationary occupancy, which takes up almost 50% of the total occupancy rate. To address this, we developed a synchronized low-energy electronically chopped PIR (SLEEPIR) sensor that incorporates liquid crystal (LC) shutter to chop long-wave signal received by on-board sensor. In this paper, present SLEEPIR module, integrated with and machine learning systematic evaluation true...

Emotions and task complexity have gained scant attention in EFL writing. This study, based on control-value theory a positive psychology perspective, explores the relationship between complexity, writing anxiety, boredom, enjoyment, emotions interaction performance among English major students China’s educational context ( N = 84). It has been found that difficult tasks can result higher anxiety lower boredom. By 6 × 2 between-subject ANOVA, there is significant of different levels enjoyment...

Passive infrared (PIR) sensors are widely used in motion sensing and lighting control. However, stationary occupants always trigger false-negative detects of PIR result uncomfortable swings short lifetime electronic appliances. To address this issue, a synchronized low-energy electronically chopped (SLEEPIR) sensor is developed letter for true presence detection, where liquid crystal (LC) optical shutter proposed to electrically chop signals received by the long-wave (LWIR) region (8-12 μm),...

We recently developed a synchronized low energy electronically chopped passive infrared (SLEEPIR) sensor that can detect both stationary and moving occupants by incorporating liquid crystal (LC) shutter with traditional (PIR) sensor. However, its detection accuracy is still largely impacted environmental noises. In this paper, we present Particle Filter (PF) based system-level algorithm employs network of SLEEPIR sensors which are installed at different points interest within an indoor...

By using a liquid crystal shutter to periodically modulate the infrared energy received by on-board passive (PIR) sensor, synchronized low electronically chopped PIR sensor recently developed our team can detect stationary occupancy. However, fixed threshold value-based detection accuracy is largely dependent on environmental settings, such as room and floor surface temperature. In this letter, we first thermoelectric model quantify impact value then created an adaptive algorithm generate...

Compressive sensing based indoor human detection has raised accumulative attention because it could recover sparse signals from fewer samples than that needed by the Nyquist sampling theorem. However, their application is limited due to high computation cost and large deployment effort. To address this, this article proposes use of a rotating binary mask single thermopile point detector enable compressive for positioning. Traditionally, only convert received infrared radiation into...

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Financial incentives play a key role in promoting renewable energy investments that can help China achieve the 'dual carbon' goal. The national emissions trading scheme (ETS) and portfolio standard (RPS) are two existing market-based policy instruments generate stable expected returns for low-carbon projects. This paper studies interactive distribution effects of these instruments. We use micro-level thermal power plant data to investigate abatement ETS, which details show rate-based ETS...

To enable passive infrared (PIR) sensors to detect stationary occupants, we recently invented a synchronized low energy electronically chopped PIR (SLEEPIR) sensor consisting of sensor, polymer dispersed liquid crystal (PDLC) shutter and driving circuit. By electrically chopping the long-wave (8- <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$12~\mu \text{m}$ </tex-math></inline-formula> ) radiation...

Abstract Recently, smart home applications are increasing fast, including but not limited to occupancy-dependent control of lighting, heating and cooling. Passive infrared (PIR) sensors play an important role in these perceive the presence and/or motion human. However, PIR able detect stationary occupants while takes up most time day. And thus, resulted false negative detection leads uncomfortable light/temperature swings, shortened equipment’s lifespan, energy waste, etc. To address this...

The contact and interaction of human is considered to be one the important factors affecting epidemic transmission, it critical model heterogeneity individual activities in epidemiological risk assessment. In digital society, massive data makes possible implement this idea on large scale. Here, we use mobile phone signaling track users' trajectories construct network describe topology daily between individuals dynamically. We show spatiotemporal features about 7.5 million users during...

This paper aims to examine the impacts of oil-price shocks on China’s price levels. To that end, we develop a partial transmission input-output model captures uniqueness Chinese market. We hypothesize and simulate control, market factors technology substitution - three main restrict functioning pass-through mechanism during shocks. Using models both China U.S., separate impact control from those other leading stickiness under The results show sharp contrast between with in significantly...