KSNet-Approach to Knowledge Fusion from Distributed Sources

The rapidity of the decision making process is an important factor in different branches of the human life (business, healthcare, industry, military applications etc.). Since responsible persons make decisions using available knowledge, it is important for knowledge management systems to deliver necessary and timely information. Knowledge logistics is a new direction in the knowledge management addressing this. Technology of knowledge fusion, based on the synergistic use of knowledge from multiple distributed sources, is a basis for these activities. The paper presents an overview of a Knowledge Source Network configuration approach (KSNet-approach) to knowledge fusion, multi-agent architecture and research prototype of the KSNet knowledge fusion system based on this approach

FRONTIERS OF E-BUSINESS RESEARCH 2003 HIGH-LEVEL BUSINESS INTELLIGENCE SERVICE IN NETWORKED ORGANIZATIONS

Rapidly changing market conditions make organizations to change their structures in order to be flexible and cost efficient. One of new organisational forms is a form of networked organisation. Since a networked organisation consists of several independent companies, often with different geographic locations, an intensive knowledge sharing and exchange is required. Business intelligence relies on modern information technologies to address this problem. Knowledge logistics is another scientific direction that tightly correlates with business intelligence and is devoted to development of methods, architectures and technologies for timely integration and delivery of the right knowledge from distributed sources to the points of need. The paper proposes an application of knowledge logistics based on the concept of open services in an e-business environment as a high-level intelligence service for networked organizations. Four major problems are selected and described in detail, namely, knowledge sharing, integration standards and open service architecture, knowledge imprecision, and knowledge actualization and adaptation. Some results and conclusions are given in the summary

Balloons and Quadcopters: Intercomparison of Two Low-Cost Wind Profiling Methods

Experimental field campaigns are an essential part of atmospheric research, as well as of university education in the field of atmospheric physics and meteorology. Experimental field observations are needed to improve the understanding of the surface-atmosphere interaction and atmospheric boundary layer (ABL) physics and develop corresponding model parameterizations. Information on the ABL wind profiles is essential for the interpretation of other observations. However, wind profile measurements above the surface layer remain challenging and expensive, especially for the field campaigns performed in remote places and harsh conditions. In this study, we consider the experience of using two low-cost methods for the wind profiling, which may be easily applied in the field studies with modest demands on logistical opportunities, available infrastructure, and budget. The first one is a classical and well-known method of pilot balloon sounding, i.e., when balloon is treated as a Lagrangian particle and tracked by theodolite observations of angular coordinates. Second one is based on a vertical sounding with a popular and relatively cheap mass-market quadcopter DJI Phantom 4 Pro and utilizes its built-in opportunity to restore the wind vector from quadcopter tilt angles. Both methods demonstrated reasonable agreement and applicability even in harsh weather conditions and complex terrain. Advantages and shortcomings of these methods, as well as practical recommendations for their use are discussed. For the drone-based wind estimation, the importance of calibration by comparison to high-quality wind observations is shown