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

From the Publisher: 
The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise.

Computer vision : a modern approach = 计算机视觉 : 一种现代的方法

International Technology Roadmap for Semiconductors 2003の要求清浄度について － シリコンウエハ表面と雰囲気環境に要求される清浄度, 分析方法の現状について －

An increase in world population along with a significant aging portion is forcing rapid rises in healthcare costs. The healthcare system is going through a transformation in which continuous monitoring of inhabitants is possible even without hospitalization. The advancement of sensing technologies, embedded systems, wireless communication technologies, nano technologies, and miniaturization makes it possible to develop smart systems to monitor activities of human beings continuously. Wearable sensors detect abnormal and/or unforeseen situations by monitoring physiological parameters along with other symptoms. Therefore, necessary help can be provided in times of dire need. This paper reviews the latest reported systems on activity monitoring of humans based on wearable sensors and issues to be addressed to tackle the challenges.

Wearable Sensors for Human Activity Monitoring: A Review

The spatial features of emitted wireless signals are the basis of location distinction and determination for wireless indoor localization. Available in mainstream wireless signal measurements, the Received Signal Strength Indicator (RSSI) has been adopted in vast indoor localization systems. However, it suffers from dramatic performance degradation in complex situations due to multipath fading and temporal dynamics. Break-through techniques resort to finer-grained wireless channel measurement than RSSI. Different from RSSI, the PHY layer power feature, channel response, is able to discriminate multipath characteristics, and thus holds the potential for the convergence of accurate and pervasive indoor localization. Channel State Information (CSI, reflecting channel response in 802.11 a/g/n) has attracted many research efforts and some pioneer works have demonstrated submeter or even centimeter-level accuracy. In this article, we survey this new trend of channel response in localization. The differences between CSI and RSSI are highlighted with respect to network layering, time resolution, frequency resolution, stability, and accessibility. Furthermore, we investigate a large body of recent works and classify them overall into three categories according to how to use CSI. For each category, we emphasize the basic principles and address future directions of research in this new and largely open area.

From RSSI to CSI: Indoor Localization via Channel Response, A survey on indoor localization using PHY-layer information

This paper details the design and development of a low-cost control rig to intuitively manipulate an anthropomorphic robotic arm using a bilateral master-slave control methodology. Special emphasis has been given to the ease of operation and some form of force sensation. The control rig is fitted to the user's arm, and the forces exerted by the robotic arm's various joints are fed back to the user. Of special significance is the force feedback from the slave when its gripper is in contact with a real object. Several methods of force sensing have been explored and detailed. The effectiveness of the proposed method is confirmed by experiments on a commercially available robotic arm, which is controlled by a prototype three-axis master unit. The robotic arm mimics the dexterity of the human hand, wrist, and fingers. The proposed master control unit is cost effective and will have wide-ranging applications in the fields of medicine, manufacturing, security, extreme environment, entertainment, and remotely operated vehicle teleoperation in undersea recovery or extraterrestrial exploration vehicle

Master–Slave Control of a Teleoperated Anthropomorphic Robotic Arm With Gripping Force Sensing

The dairy industry is in need of a cost-effective, highly reliable, very accurate, and fast measurement system to monitor the quality of dairy products. This paper describes the design and fabrication works undertaken to develop such a system. The techniques used center around planar electromagnetic sensors operating with radio frequency excitation. Computer-aided computation, being fast, facilitates on-line monitoring of the quality. The sensor technology proposed has the ability to perform volumetric penetrative measurements to measure properties throughout the bulk of the product.

/pdf/a-low-cost-sensing-system-for-quality-monitoring-of-dairy-1j8gj241w5.pdf

A low-cost sensing system for quality monitoring of dairy products

Multivariate alternating decision trees

Pseudo-Random Number Sequences Elements of M-Sequences Generation Theory Pseudo-Random Sequence Generators Pseudo-Random Signals in Automated Test Systems Application of Pseudo-Random Sequences for Testing Digital Devices.

/pdf/generation-and-application-of-pseudorandom-sequences-for-22fud9anad.pdf

Serge Demidenko

Papers

Master–Slave Control of a Teleoperated Anthropomorphic Robotic Arm With Gripping Force Sensing

A low-cost sensing system for quality monitoring of dairy products

Multivariate alternating decision trees

Generation and Application of Pseudorandom Sequences for Random Testing

Defect cluster recognition system for fabricated semiconductor wafers