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

The PASCAL Visual Object Classes Challenge

http://www.cs.unibo.it/~montesi/CBD/Articoli/SurvyBigData2.pdf

Data-intensive applications, challenges, techniques and technologies: A survey on Big Data

Two people with long-standing tetraplegia use neural interface system-based control of a robotic arm to perform three-dimensional reach and grasp movements. John Donoghue and colleagues have previously demonstrated that people with tetraplegia can learn to use neural signals from the motor cortex to control a computer cursor. Work from another lab has also shown that monkeys can learn to use such signals to feed themselves with a robotic arm. Now, Donoghue and colleagues have advanced the technology to a level at which two people with long-standing paralysis — a 58-year-old woman and a 66-year-old man — are able to use a neural interface to direct a robotic arm to reach for and grasp objects. One subject was able to learn to pick up and drink from a bottle using a device implanted 5 years earlier, demonstrating not only that subjects can use the brain–machine interface, but also that it has potential longevity. Paralysis following spinal cord injury, brainstem stroke, amyotrophic lateral sclerosis and other disorders can disconnect the brain from the body, eliminating the ability to perform volitional movements. A neural interface system1,2,3,4,5 could restore mobility and independence for people with paralysis by translating neuronal activity directly into control signals for assistive devices. We have previously shown that people with long-standing tetraplegia can use a neural interface system to move and click a computer cursor and to control physical devices6,7,8. Able-bodied monkeys have used a neural interface system to control a robotic arm9, but it is unknown whether people with profound upper extremity paralysis or limb loss could use cortical neuronal ensemble signals to direct useful arm actions. Here we demonstrate the ability of two people with long-standing tetraplegia to use neural interface system-based control of a robotic arm to perform three-dimensional reach and grasp movements. Participants controlled the arm and hand over a broad space without explicit training, using signals decoded from a small, local population of motor cortex (MI) neurons recorded from a 96-channel microelectrode array. One of the study participants, implanted with the sensor 5 years earlier, also used a robotic arm to drink coffee from a bottle. Although robotic reach and grasp actions were not as fast or accurate as those of an able-bodied person, our results demonstrate the feasibility for people with tetraplegia, years after injury to the central nervous system, to recreate useful multidimensional control of complex devices directly from a small sample of neural signals.

/pdf/reach-and-grasp-by-people-with-tetraplegia-using-a-neurally-u1xyn3on0d.pdf

Reach and grasp by people with tetraplegia using a neurally controlled robotic arm

This paper presents a novel method to conduct camera pose estimation though combining Kinect and Perspective-n-points algorithms Most existing camera pose estimation methods suffer from the errors caused by inevitable outliers between 2D–3D correspondences To this end, we propose to use a random down sampling process to deal with outliers in this paper The proposed method is divided into two main steps, which are 2D–3D correspondences generation and pose estimation The method has been tested in a real project, and the experiment has shown encouraging results compared to the ground truth

/pdf/combining-kinect-and-pnp-for-camera-pose-estimation-4xbdbfz0e3.pdf

Combining Kinect and PnP for camera pose estimation

Some wood can be used as traditional Chinese medicine. The medicinal value of wood is associated with its extractives. Pterocarpus macarocarpus Kurz heartwood is a kind of top valuable reddish hardwood in making furniture and handicrafts, but the research about medicine value of this wood is not enough. In order to investigate the high value biomedical compounds in Pterocarpus macarocarpus Kurz heartwood, the woody extractives were obtained by Soxhlet extraction and ultrasonic extraction with benzene-ethanol (1:2, v/v) solvent simultaneously and were analyzed by Gas Chromatography-Mass Spectrometer (GC-MS). Combining with the results of the two extraction methods, 44 compounds can be identified in total. Amony these identified compounds, there were 5 flavonoids, 15 terpenes and 3 steroidal compounds. The representative biomedical compositions were homopterocarpin, medicarpin, (-)-pterocarpin, formononetin, β-eudesmol, stigmasterol, linoleic acid and so on, which indicated that the extractives from Pterocarpus macarocarpus Kurz heartwood have huge potential in biomedicine. This research provides scientific basis for further comprehensive utilization of Pterocarpus macarocarpus Kurz heartwood as Chinese medicine.

Extraction of biomedical compounds from the wood of Pterocarpus macarocarpus Kurz heartwood.

Fiber Bragg grating (FBG) has proven to be the most suitable sensing element for force feedback of surgical robots because of its special advantages such as small size and physical robustness. In current reports, the researchers packaged FBGs in a surgical instrument by attaching them to an external surface or by embedding them into the shaft grooves using an adhesive because the adhesive has good liquidity and operability compared to other packaging methods, such as metal package and glass solder package, and is often not covered due to the strict space requirement of tiny surgical instruments. However, for repeated disinfection, surgical instruments have to be excessively exposed to chemical disinfectants, which may lead to chronic corrosion of the adhesive, thus influencing the sensing characteristics of the integrated FBGs. To address this concern, this paper investigates the sensing characteristics of the adhesive-encapsulated FBG under disinfection environment. We simulated a common disinfection environment using 75% alcohol, in which three adhesive-encapsulated FBGs were soaked for a long term. The sensing performances of FBGs have been tested periodically, and the experimental results demonstrate that the FBGs have good sensing characteristics within first 50 days. However, after 50 days, the sensing performances of the three FBGs worsened gradually, and, finally, the adhesive layers of the three FBGs completely detached from the specimen in the 75th day, 80th day, and 95th day, respectively. We hope the investigation could provide a valuable reference for better application of the FBG in force feedback of surgical robots.

Experimental Research on Sensing Characteristics of Adhesive-Encapsulated FBG Under Alcohol-Disinfection Environment

Wood processing is a crucial step of wood utilization, but the adding of environmentally hazardous feedstocks and the use of unreasonable technology allow it to harm the environment and human health. Supercritical CO2 (scCO2) is a non-toxic, odorless, and safe solvent, which is widely used in studies and industrial production, but there is no review summarizing wood processing with scCO2. The unique structure and chemical properties of wood combined with scCO2 technology produce positive results. In this paper, wood processing with scCO2 is summarized, including wood impregnation, wood drying, wood thermochemical conversion, and wood extraction. The green and efficient characteristics of wood processing with scCO2 are explained in detail for researchers, engineers, and investors to provide a clean wood processing method. Further study is needed to reduce its energy consumption and commercialize it eventually.

Green and Efficient Processing of Wood with Supercritical CO2: A Review

Artificial tactile sensation (ATS) is of great importance in diverse fields, especially for amputees to explore and interact with the world. Although prosthesis are dexterous nowadays, lack of tactile sensation is expected to result in a high rejection rate. Electrical stimulation offers the potential of creating ATS to restore tactile sensation. This paper proposed a portable wireless electrotactile stimulator, which can output common square wave (CSW), sine wave (SW) and time-varying pulse width square wave (TPSW), with a superior resolution. A preliminary experiment showed that the amplitude was easy to be distinguished compared to the frequency for all waveforms. The pulse width changing frequency of TPSW was more discernible than that of CSW and SW. Besides, the TPSW felt the most comfortable while the CSW felt the worst. Furthermore, the SW felt better compared with CSW, especially under the low-frequency and high-amplitude condition. Therefore, the method have a potential to alleviate the discomfort of electrotactile stimulation and achieve a smooth sensation.

Honghai Liu

Papers

Combining Kinect and PnP for camera pose estimation

Extraction of biomedical compounds from the wood of Pterocarpus macarocarpus Kurz heartwood.

Experimental Research on Sensing Characteristics of Adhesive-Encapsulated FBG Under Alcohol-Disinfection Environment

Green and Efficient Processing of Wood with Supercritical CO2: A Review

Electrotactile Stimulation Waveform Modulation Based on A Customized Portable Stimulator: A Pilot Study