查看更多>>摘要：Research findings on Robotics - Robotics and Automation are discussed in a new report. According to news reporting originating in Shaanxi, People's Republic of China, by NewsRx journalists, research stated, "Recently, cross-source point cloud registration from different sensors has become a significant research focus. Although current methods have advanced homogenous point cloud registration, challenges persist in the cross-source domain due to varying point cloud densities from different sensors and missing points caused by different viewing angles, which have hindered its development."
查看更多>>摘要：Data detailed on Robotics have been presented. According to news reporting out of Nottingham, United Kingdom, by NewsRx editors, research stated, "Industrial robots contribute to a considerable amount of energy consumption in manufacturing. However, modeling the energy consumption of industrial robots is a complex problem as it requires considering components such as the robot controller, fans for cooling, the motor, the friction of the joints, and confidential parameters, and it is difficult to consider them all in modeling." Financial support for this research came from European Union (EU).
查看更多>>摘要：New research on Robotics is the subject of a report. According to news reporting originating from Nanjing, People's Republic of China, by NewsRx correspondents, research stated, "In recent years, stable robot navigation systems need to meet the requirements of comfort and sociality, such as maintaining an appropriate distance from pedestrians, avoiding crossing crowds, and so on. However, the traditional robot navigation frameworks treat the surrounding pedestrians or objects as obstacles and fail to solve the navigation problems in the context of human-robot interaction." Financial support for this research came from National Natural Science Foundation of China (NSFC).
查看更多>>摘要：New research on artificial intelligence is the subject of a new report. According to news originating from Tokyo, Japan, by NewsRx correspondents, research stated, "Recent years have seen the development of novel, rapid, and inexpensive techniques for collecting plant data to monitor the nutritional status of crops." Funders for this research include Bio-oriented Technology Research Advancement Institution; Japan Science And Technology Corporation.
查看更多>>摘要：Researchers detail new data in Robotics. According to news originating from Chennai, India, by NewsRx correspondents, research stated, "This research introduces an optimal Fin Ray gripper design for vegetable handling in horticulture applications. Fin Ray grippers are triangular with crossbeams." Our news journalists obtained a quote from the research from Anna University, "The gripper flexes and adjusts to the structure of the object upon activation. The change in the gripper's form resembles fish fin physiology. This research entails the design and fabrication of Fin Ray inclined grippers with variations in their geometrical structure, namely, the gap between the crossbeams, the inclination angle of the crossbeams, and the thickness of the crossbeams. The Box-Behnken design and analysis of variance approaches were used to assess the major impacts, interactions, and importance of the crossbeam's characteristics on weightlifting capacity and displacement. The Fin Ray gripper design parameters were successfully optimised by the chosen Response Surface Methodology. Less force is needed to obtain a good grasp on an object when a design is made to achieve optimum weightlifting capacity and bending displacement. The gripper's design and analysis, as well as the experimental results demonstrating how well it handles various types of vegetables, are described in the paper."
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NETL
NSTL
Univ Zagreb Fac Mechanical Engineering & Naval Architecture
查看更多>>摘要：New research on Machine Learning is the subject of a report. According to news originating from Marrakech, Morocco, by NewsRx editors, the research stated, "Machine learning (ML) is a subfield of artificial intelligence (AI) that consists of developing algorithms that can automatically learn patterns and relationships from data, without being explicitly programmed. It continues to advance with the development of more sophisticated algorithms, increased computational power, and larger datasets, leading to significant advancements in AI technology."
查看更多>>摘要：New research on Machine Learning is the subject of a report. According to news reporting out of Dublin, Ireland, by NewsRx editors, research stated, "In the search for novel intermetallic ternary alloys, much of the effort goes into performing a large number of calculations covering a wide range of compositions and structures. These are essential to building a reliable convex hull diagram." Our news journalists obtained a quote from the research from Trinity College Dublin, "While density functional theory (DFT) provides accurate predictions for many systems, its computational overheads set a throughput limit on the number of hypothetical phases that can be probed. Here, we demonstrate how an ensemble of machine-learning (ML) spectral neighbor-analysis potentials (SNAPs) can be integrated into a workflow for the construction of accurate ternary convex hull diagrams, highlighting regions that are fertile for materials discovery. Our workflow relies on using available binary-alloy data both to train the SNAP models and to create prototypes for ternary phases. From the prototype structures, all unique ternary decorations are created and used to form a pool of candidate compounds. The SNAPs ensemble is then used to prerelax the structures and screen the most favorable prototypes before using DFT to build the final phase diagram. As constructed, the proposed workflow relies on no extra first-principles data to train the ML surrogate model and yields a DFT-level accurate convex hull."
查看更多>>摘要：Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Greensboro, North Carolina, by NewsRx editors, research stated, "The traditional twofactor authentication (2FA) methods primarily rely on the user manually entering a code or token during the authentication process. This can be burdensome and time-consuming, particularly for users who must be authenticated frequently." Our news correspondents obtained a quote from the research from North Carolina Agricultural and Technical State University: "To tackle this challenge, we present a novel 2FA approach replacing the user's input with decisions made by Machine Learning (ML) that continuously verifies the user's identity with zero effort. Our system exploits unique environmental features associated with the user, such as beacon frame characteristics and Received Signal Strength Indicator (RSSI) values from Wi-Fi Access Points (APs). These features are gathered and analyzed in real-time by our ML algorithm to ascertain the user's identity. For enhanced security, our system mandates that the user's two devices (i.e., a login device and a mobile device) be situated within a predetermined proximity before granting access. This precaution ensures that unauthorized users cannot access sensitive information or systems, even with the correct login credentials. Through experimentation, we have demonstrated our system's effectiveness in determining the location of the user's devices based on beacon frame characteristics and RSSI values, achieving an accuracy of 92.4%. Additionally, we conducted comprehensive security analysis experiments to evaluate the proposed 2FA system's resilience against various cyberattacks."
查看更多>>摘要：Current study results on have been published. According to news reporting out of Jember University by NewsRx editors, research stated, "In the digital age, IMDb plays a crucial role in influencing audience movie choices." The news reporters obtained a quote from the research from Jember University: "However, IMDb's movie ratings lack detailed information about specific aspects of films considered important in the industry's evaluation of audience responses. To address this gap, we conducted aspect-based sentiment analysis on 3198 reviews of Avatar 2. We focused on narrative and cinematic elements in the movie reviews, such as character, conflict, location, time, mise-en-scene, cinematography, editing, and sound. After data collection, we labeled the aspects and sentiments, and through TF-IDF weighting and SMOTE balancing, we performed sentiment classification. The Support Vector Machine model with SMOTE proved most effective, highlighting crucial features often discussed by audiences in both positive and negative sentiments. This analysis provides valuable insights for the film industry, aiding in better movie production, marketing, and a deeper understanding of audience preferences."
查看更多>>摘要：Investigators publish new report on Robotics. According to news reporting out of Harbin, People's Republic of China, by NewsRx editors, research stated, "Efficient object handover between humans and robots holds significant importance within collaborative manufacturing environments. Enhancing the efficacy of human-robot handovers involves enabling robots to comprehend and foresee human handover intentions." Financial support for this research came from National Natural Science Foundation of China.
NETL
NSTL
IEEE
Amer Assoc Advancement Science
Univ Zagreb Fac Mechanical Engineering & Naval Architecture
Wiley