Purpose The purpose of this research is to help knowledge managers systematically grasp “knowledge about management knowledge” and get a “deep full” understanding the nature, scope methodologies management. Design/methodology/approach Through presenting variety perspectives on knowledge, management, article explores essence in organizations from perspective critical systems thinking. Findings Knowledge business has task managing activities workers or transformation interaction organizational...

KM is increasingly imperative as it regarded the key determinant of a firm, industry or country for survival and growth in knowledge era. Varieties disciplines have made contributions to management. Research focuses on one more specific fields, but understand which levels processes management should concentrate on, be fundamental than advocacy Knowledge‐related matters were examined from viewpoint systems science. Using critical thinking, soft thinking etc., new systematic perspective was...

While proximal gradient algorithm is originally designed for convex optimization, several variants have been recently proposed nonconvex problems. Among them, nmAPG [Li and Lin, 2015] the state-of-art. However, it inefficient when step does not closed-form solution, or such solution exists but expensive, as requires more than one steps to be exactly solved in each iteration. In this paper, we propose an efficient accelerate (niAPG) iteration, only inexact (less expensive) step. Convergence a...

Transporting a heavy payload using multiple aerial robots (MARs) is an efficient manner to extend the load capacity of single robot. However, existing schemes for transportation system (MARTS) still lack capability generate collision-free and dynamically feasible trajectory in real-time further track agile especially when there are no sensors available measure states cable. Therefore, they limited low-agility simple environments. To bridge gap, we propose complete planning control MARTS,...

Three-dimensional (3D) medical images, such as Computed Tomography (CT) and Magnetic Resonance Imaging (MRI), are essential for clinical applications. However, the need diverse comprehensive representations is particularly pronounced when considering variability across different organs, diagnostic tasks, imaging modalities. How to effectively interpret intricate contextual information extract meaningful insights from these images remains an open challenge community. While current...

With the recent advancements in machine learning technology, accuracy of autonomous driving object detection models has significantly improved. However, due to complexity and variability real-world traffic scenarios, such as extreme weather conditions, unconventional lighting, unknown participants, there is inherent uncertainty models, which may affect planning control driving. Thus, rapid accurate quantification this crucial. It contributes a better understanding intentions vehicles...

Minutiae play a major role in fingerprint identification. Extracting reliable minutiae is difficult for latent fingerprints which are usually of poor quality. As the limitation traditional handcrafted features, fully convolutional network (FCN) utilized to learn features directly from data overcome complex background noises. Raw mapped correspondingly-sized minutia-score map with fixed stride. And thus large number will be extracted through given threshold. Then small regions centering at...

To ensure the reliability of autonomous driving, system must be capable potential hazard identification and appropriate response to prevent accidents. This involves prediction possible developments in traffic situations an evaluation danger future scenarios. Precise Collision Risk Assessment (CRA) faces complex challenges due uncertainties inherent vehicle road environmental conditions. paper introduces a new CRA approach, Multi-Dimensional Uncertainties-CRA (MDU-CRA), which integrates...

Abstract This paper is the first to introduce critical systems thinking into present study of knowledge and its management. Our preliminary showed two things about thinking. First, it provides comprehensive creative insight tackling increasing complexity human management processes through organic connection division systems. Second, encourages use available methodologies in a coherent way cope with corresponding subsystems or processes, which breaks down convenient units. Based on thinking,...

Three-dimensional object detection plays an important role in autonomous driving because it provides the 3-D locations of objects for subsequent use decision-making modules. A novel method is proposed using a monocular image and cascade geometric constraints to achieve robust vehicle detection. The framework divided into two stages. In first stage, input processed heatmap-based network with five branches regress orientation, dimension, center projection bottom face, viewpoint classification,...

Autonomous Intersection Management (AIM) systems present a new paradigm for conflict-free cooperation of connected autonomous vehicles (CAVs) at road intersections, the aim which is to eliminate collisions and improve traffic efficiency ride comfort. Given challenges current centralized coordination methods in balancing high computational robust safety assurance, this paper proposes an innovative management scheme CAVs unsignalized leveraging safe multi-agent deep reinforcement learning...

Abstract Gas diffusion layers (GDLs) are the most rigid in a 5‐layer or 7‐layer membrane electrode assembly (MEA) of proton exchange fuel cell. Therefore, cell analysis, mechanical properties GDLs have great impact on stress distribution as well performance whole However, not sufficiently studied. Nonlinear behavior under cyclic compression is discussed rarely literature. The existing model takes both constraints into consideration, but due to geometrical oversimplification carbon paper...

Aiming at the poor encryption effect existing in data algorithm of e-commerce platform, and lost distorted easily after encrypting, a based on blockchain technology is proposed this paper. By analyzing symmetric key public algorithm, DES described detail. The two related technologies digital envelopes message authentication are analyzed to ensure accuracy one time data. Based this, order effectiveness encryption, process asymmetric chaotic sequence neural network attractor analyzed, security...

Regarding changes of subjective and objective parameters comfort during short long-term driving, the arbitrariness traditional evaluation methods, as well defects method where issues can be qualitatively but not quantitatively analyzed. By measuring pressure distribution electromyography driving respectively, article obtained indicators, characteristic corresponding evaluations drivers. The variation comfort, difference in terms fatigable body parts were tested. means correlation analysis...

In order to quantify the effects of different body parts on sitting comfort, an ontology model for comfort in “human—machine” system was established. light subjectivity and arbitrariness issue AHP, as well characteristic entropy method be vulnerable disturbed by extremum, a new weighting implemented which corrects subjective data with objective data, named AHP limit method. An overall formula created containing shoulder, back, waist, buttock, thigh. Finally, three other vehicle’s seats were...

The electroless Ni-P coatings were deposited on open-cell aluminum foams substrate by using hypophosphite as a reducing agent. Ni-strike was developed pre-treatment for to interlock between the and coatings. Thereby, it improves corrosion resistance of substrate. surface morphology, structure phases characterized SEM-EDS XRD. behaviours coated uncoated evaluated immersion test electrochemical polarization measurement. experimental results show that cover entire with thickness ~25 μm. have...

Finding the frequent itemset is one of most investigated extents data mining. The Apriori algorithm established for mining, but it has issues regarding scanning databases and generating a large amount candidate sets. To solve these issues, an Improved was proposed. We examined structure, implementation, algorithmic features that mainly focus on are representing Spark in which simple scalable implementation done to achieve faster process with lower support thresholds. improved Extended Bakery...