International Conference on Sensing Technology

Got LED Burnout? An Expert Shares 7 Reasons LED Lights Die Early LED lights typically last far longer than their incandescent predecessors. If your bulbs are failing early, these are the most likely reasons. LED bulbs are incredibly efficient and long-lasting, but problems can cut their lives short.Philips Hue LED bulbs are the new normal for a reason. They use less electricity and are supposed to last for years -- far longer than their incandescent predecessors. In fact, it's not unusual for an LED bulb to last up to as 25,000 hours which is roughly 10 years, depending on how often the light is used. But a slew of Reddit threads reveal that many LED bulbs don't go the distance and burn out far faster than their branding suggests. If you're wondering why some LED or smart bulbs burn out too quickly, you're not alone and we went to the experts to get answers/ I spoke with several lighting installers and LED manufacturers to find out what’s really going on. It turns out ...

🌟 Best Sensor Security Technology Award  The Best Sensor Security Technology Award recognizes outstanding innovation and excellence in the field of sensor-based security solutions . This prestigious award honors companies, research institutions, and individuals who have developed cutting-edge technologies that enhance security, improve threat detection, and safeguard data, assets, and privacy . ✅ Eligibility Open to companies, startups, research labs, and individual innovators specializing in sensor security technologies. Nominees should have demonstrated significant technological advancements in the field of security sensors. Applicable to hardware, software, and hybrid solutions integrating sensors for security purposes. 🔍 Key Evaluation Criteria Innovation & Uniqueness: Novel sensor technologies or creative applications of existing sensors. Innovative use of AI, machine learning, or IoT for security enhancement. Effectiveness & Reliability: ...

  Prof.   Yan Qian, Nanjing University of Posts & Telecommunications, China Prof. Yan Qian is an Associate Professor at the Key Laboratory for Organic Electronics & Information Displays and the Institute of Advanced Materials at Nanjing University of Posts & Telecommunications, China. With a Ph.D. in Organic Photophysics & Photochemistry from the Institute of Chemistry, Chinese Academy of Sciences, she has been actively engaged in research on functional optical materials. Her work focuses on the “hot exciton” mechanism for high-efficiency OLED emitters, organic thermal sensing, tunable excited states for organic lasers, and photochromic materials for optoelectronic applications. She has made significant contributions to the development of high-performance organic light-emitting and sensing materials, including aggregation-induced emission fluorophores and stable white OLEDs. Through her research and academic contributions, Prof. Yan Qian continues to advance th...

  Best Researcher Award Dr. Wenjun Ni is a strong candidate for the  Best Researcher Award  based on his academic achievements, professional appointments, and contributions to research. His work in  fiber acoustic sensing, photoacoustic spectroscopy, specialty optical fiber, and OAM communication  aligns with cutting-edge advancements in electronics and information engineering. Dr. Wenjun Ni is an Associate Professor at the School of Electronics and Information Engineering, South-Central Minzu University, Wuhan, China. His academic journey began with a B.Sc.  from South-Central Minzu University (2010–2014), followed by research experience as a Research Assistant at Nanyang Technological University, Singapore (2018–2019).  He later served as a Research Fellow at the same institution (2019–2020) before joining South-Central Minzu University as an Associate Professor in 2021.  Dr. Ni has been recognized as a Wuhan Talent (2021) and an Overseas High-L...

The journey to human-machine symbiosis Ali Shafti, the head of human-machine understanding at Cambridge Consultants argues that empathic computers are closer to reality than we might think Human-machine understanding (HMU) represents the next frontier in human-centric technology. By integrating insights from human behavioural data, cognitive science and psychology with artificial intelligence (AI) advancements, we can create technology that understands us, and uses this understanding to interact with us naturally, empathising with us and our needs. The HMU team of specialists in AI, psychology, cognitive and behavioural sciences that I lead at Cambridge Consultants (CC) sees the vast potential of this technology, and the new, symbiotic relationship between humans and machines it could create – one that is empathetic, intuitive and cooperative. This will mark a significant step change from the one-way, reactive interactions with technology we’ve grown accustomed to since the industrial...

IRRI Launches AI-Powered Platform to Accelerate Hybrid Rice Breeding and Enhance Food Security IRRI’s AI-powered Global AI-Hybrid Rice Platform (GAI-HRP) accelerates hybrid rice breeding, boosting yields and ensuring food security. The technology enhances efficiency and supports sustainable agriculture. Hybrid rice is created by crossing two distinct parental lines, leading to yield increases of up to 30% or more. (Photo Source: Canva) The International Rice Research Institute (IRRI) has launched the Global AI-Hybrid Rice Platform (GAI-HRP), an AI-powered digital tool designed to speed up hybrid rice breeding and parental selection. This innovative platform aims to enhance food security and promote sustainable agriculture by accelerating the development of high-yielding and climate-resilient rice hybrids. Developed by the IRRI Hybrid Rice Unit in collaboration with the Hybrid Rice Development Consortium (HRDC), GAI-HRP harnesses the power of artificial intelligence and machine learnin...

  Best Sensor for Robotics Awards  The Best Sensor for Robotics Awards celebrates groundbreaking innovations in sensor technology that enhance robotic performance, accuracy, and efficiency. This prestigious award recognizes cutting-edge advancements in AI-driven sensors, IoT-enabled robotics, machine learning applications, and smart automation solutions . Nominees include industry leaders, researchers, and emerging tech pioneers whose sensor innovations drive the future of robotics, autonomous systems, and industrial automation . Award criteria focus on precision, adaptability, real-time data processing, and impact on robotics applications . Join us in honoring the best sensor technologies that are revolutionizing the field of robotics and automation ! 🚀🏆 Web Site :  sensors.sciencefather.com Visit Web Site :  sciencefather.com Nomination Link :  https://sensors-conferences.sciencefather.com/award-nomination/?ecategory=Awards&rcategory=Awardee Contact...

Near-infrared Spectroscopic Characterization Of The Pallas Family Spectral slope versus the size of the observed Pallas family members. The spectral slopes are calculated from Gaia’s Data Release 3 (DR3) observations (Gaia Collaboration et al. 2016, 2023b) and the sizes are obtained from the 2019 NEOWISE diameters and albedos archive. — astro-ph.EP The Pallas collisional family of asteroids, named after (2) Pallas, is notable for its high orbital inclination and the distinct blue color of Pallas and a few larger B-type family members. While Pallas itself, as one of the largest asteroids, has been studied in detail, most of its smaller family members still remain unexplored. This study aims to characterize the physical properties of medium- to small-sized Pallas family asteroids to investigate the origin of their unusual blueness. Additionally, we explore the relationship between the Pallas family and the near-Earth object (NEO) (3200) Phaethon. We conducted near-infrared (NIR) spectro...

Bioengineering advance allows scientists to accurately predict and engineer protein metalation Researchers at Durham University have achieved a major advancement in understanding how proteins bind metals inside cells, a process crucial to life. The study, published in Nature Communications, introduces a pioneering approach that allows scientists to accurately predict and engineer the metalation of proteins, a discovery with far-reaching implications for biotechnology and sustainable biomanufacturing. The research builds upon years of work by the research team, dating back to key discoveries published in 2008. In the latest study, scientists used a unique protein, originally found in cyanobacteria, which naturally traps manganese. This protein provided an innovative way to test predictions about how proteins acquire metals within cells. The findings confirm that protein metalation is not automatic when introducing proteins into different cells. Instead, the availability of metals withi...

Gas Separation Membrane Market Poised for Continued Growth, Expected to Surpass $3 Billion by 2028 - Global Forecast to 2033 The global gas separation membrane market has demonstrated a significant growth trajectory, with a market valuation reaching approximately $2.07 billion as of 2023. With a robust compound annual growth rate (CAGR) since 2018, the market is anticipated to expand further to $3.04 billion by 2028 and continue its upward trajectory to reach a value of $4.58 billion by the year 2033. Driving Forces and Market Segmentation The historic growth of the market has been propelled by factors such as the robust expansion of the oil and gas industry, the rising demand for renewable energy sources, and growth within the pharmaceutical sector. The market has been segmented into various categories including product type, application, end-user industry, and module type, with polyimide and polyaramide membranes dominating product type segments, and nitrogen generation and oxygen e...

Green Energy Auction The Department of Energy (DOE) has officially released the Terms of Reference (TOR) for the fourth round of the Green Energy Auction (GEA-4), outlining the technical, financial, and commercial guidelines for the competitive bidding process. The initiative aims to accelerate the country’s renewable energy transition by adding 9,378 megawatts (MW) of new capacity from solar and wind projects. A key highlight of GEA-4 is the integration of Renewable Energy and Energy Storage Systems (IRESS), marking the first auction to feature solar power plants paired with Battery Energy Storage Systems (BESS). With an additional 1,100 MW of solar capacity equipped with storage, the auction is expected to enhance grid stability and support rising electricity demand. Auction Targets and Key Technologies Under the DOE’s plan, the auction capacity is distributed across multiple renewable energy technologies, with staggered installation targets from 2026 to 2029. The breakdown includes...

Electromagnetic waves solve partial differential equations Calculation: A representation of a network of electromagnetic waveguides (left) being used to solve Dirichlet boundary value problems. The coloured diagrams at right represent the normalized instantaneous Hz-field values calculated at each of the junctions inside the waveguide network. (Courtesy: R.G. MacDonald, A. Yakovlev, and V. Pacheco-Peña, doi : 10.1117/1.APN.3.5.056007) Waveguide-based structures can solve partial differential equations by mimicking elements in standard electronic circuits. This novel approach, developed by researchers at Newcastle University in the UK, could boost efforts to use analogue computers to investigate complex mathematical problems. Many physical phenomena – including heat transfer, fluid flow and electromagnetic wave propagation, to name just three – can be described using partial differential equations (PDEs). Apart from a few simple cases, these equations are hard to solve analytically, an...

Scientists discover new heavy-metal molecule ‘berkelocene’ Credit: Alyssa Gaiser/Berkeley Lab A research team led by the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) has discovered “berkelocene,” the first organometallic molecule to be characterized containing the heavy element berkelium. Organometallic molecules, which consist of a metal ion surrounded by a carbon-based framework, are relatively common for early actinide elements like uranium (atomic number 92), but they are scarcely known for later actinides like berkelium (atomic number 97). “This is the first time that evidence for the formation of a chemical bond between berkelium and carbon has been obtained. The discovery provides new understanding of how berkelium and other actinides behave relative to their peers in the periodic table,” said Stefan Minasian, a scientist in Berkeley Lab’s Chemical Sciences Division and one of four co-corresponding authors of a new study published in the journal ...

2D semiconductor sensor: Gold nanoparticles boost optical signal efficiency The new electrode (CBIC) developed by the researchers can effectively reduce the resistance of the electrode by forming gold nanoparticles inside. Transmission electron microscopy confirms that gold nanoparticles are indeed formed inside the electrode. Credit: Korea Institute of Science and Technology Next-generation imaging technology is rapidly expanding beyond smartphones into intelligent devices, robotics, extended reality (XR) devices, health care, CCTV, and various other industries. At the core of these technological advances are highly efficient, ultra-compact image sensors that convert light signals into electrical signals. Image sensors capture and process visual information from objects and environments, enabling precise reconstruction of their shape, size, and spatial position. Currently, commercial image sensors are primarily based on silicon semiconductors. However, research into next-generation i...