다중혈관 관상동맥 환자에서 y-문합을 이용하여 양쪽 내흉동맥만을 사용한 우회술의 조기 성적

THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON

The Design and Analysis of Experiments

[신간의 별자리x] 우리/미술, 그리고 ‘슬픔의 박물관’

Data Mining - Concepts and Techniques.

Data Mining Practical Machine Learning Tools and Techniques

The ubiquitous of 5G New Radio (5G NR) accelerates the massive implementations in many fields including swarm Unmanned Aircraft System (UAS) networking. The ultra capacities of 5G NR can provide more sufficient networking services for the swarm UAS networking which can enable swarm UAS to deploy in more complex and challenging scenarios to achieve missions. However, the conventional swarm UAS networking are mainly centralized or hierarchical which is vulnerable to the dynamics and the deployment of swarm UAS networking on a large scale. In this paper, we formulate a cell wall communications for the heterogeneous swarm UAS networking with the inspiration of biological cell wall communication. Fueled by reinforcement learning, we resolve the edge-coloring problem of cell wall communication scheduling to achieve the maximum throughput between the heterogeneous swarm UAS networking globally. The evaluation shows our proposed reinforcement learning enabled algorithm can surpass the conventional scheduling algorithms over 90% when the time piece is less than 0.01s and achieve the optimal throughput for the heterogeneous swarm UAS networking.

Reinforcement Learning Optimized Throughput for 5G Enhanced Swarm UAS Networking

Green computing in IoT: Time slotted simultaneous wireless information and power transfer

In recent years, vehicular named data networking (VNDN) has quickly ascended to the spotlight and gained enormous popularity, which has emerged as a candidate to support various applications of vehicular communications. VNDN has the potential improve the data dissemination efficiency by mitigating the performance degradation from Internet Protocol (IP) addressing, unstable connectivity and diversified service requirements. With the number of connected vehicles increasing rapidly, the traffic burden of the base station (BS) also grows. As an effective edge computing paradigm, in-vehicle caching can significantly relieve the pressure of the BS. However, the design of a fair caching strategy is still challenging due to the selfish nature of individuals. In this paper, to address the above issues, a popularity-incentive caching scheme (PICS) is proposed in VNDN, where the BS will reward vehicles who execute cache offloading and content sharing with others. To balance the conflict of interest between the BS and vehicles, a Stackelberg game is modeled with rational utilities envisioned. Next, we propose the solution of this game model and evaluate the influence of different weight parameters. Finally, simulation results validate the effectiveness of PICS.

Popularity Incentive Caching for Vehicular Named Data Networking

A Unified Framework for Secured Energy Resource Management in Smart Grid

WSNs are the most important machineries to monitor the physical environments. It is an infrastructure-less autonomous, and can be developed under any circumstances. Due to its importance, it is being widely used in different applications of our daily life. Similarly, it is making our hard challenges easy. On contrary of other networks, it has a resource constrained environment. Normally, WSN deployed in an area which is not in the reach of human. So the resources must be used in a fashion that could increase its lifetime. This paper discusses energy and communication overhead saving in each category of routing protocols with respect to the design trade-offs. We also pointed out the performance and advantages of each technique On the basis of these findings any future work could be performed to improve the existing protocols and also use them for other types of networks as well.

Houbing Song

Papers

Reinforcement Learning Optimized Throughput for 5G Enhanced Swarm UAS Networking

Green computing in IoT: Time slotted simultaneous wireless information and power transfer

Popularity Incentive Caching for Vehicular Named Data Networking

A Unified Framework for Secured Energy Resource Management in Smart Grid

Smart Energy Efficient Hierarchical Data Gathering Protocols for Wireless Sensor Networks