Single-Photon Interference Experiment Over 80 km With a Pulse-Driven Heralded Single-Photon Source

We have conducted a single-photon interference experiment over an 80-km optical fiber using a pulse-driven heralded single-photon source (HSPS). To the best of our knowledge, this is, thus far, the longest distance over which a single-photon interference experiment has been conducted using HSPSs (continuous-wave-pumped or pulse-driven). The effect of the 80-km transmission on the dispersion and fluctuation of polarization are more severe than those in our previous 40-km quantum key distribution (QKD) experiment. We have overcome the difficulties by some fine tunings and low-jitter controlling. By conducting ten consecutive transmission experiments over a total time of 30 min, an average quantum bit-error rate (QBER) of 7.9 plusmn 1.2% has been obtained. This QBER is lower than the threshold QBER of 10.55% which is considered as a limit for unconditional security for the QKD under negligible multiphoton emission.     

D‐A1‐D‐A2 Backbone Strategy for Benzobisthiadiazole Based n‐Channel Organic Transistors: Clarifying the Selenium‐Substitution Effect on the Molecular Packing and Charge Transport Properties in Electron‐Deficient Polymers

Unipolar n‐type semiconducting polymers based on the benzobisthiadiazole (BBT) unit and its heteroatom‐substituted derivatives are for the first time synthesized by the D‐A₁‐D‐A₂ polymer‐backbone design strategy. Selenium (Se) substitution is a very effective molecular design, but it has been seldom studied in n‐type polymers. In this study, within the similar conjugated framework, the Se substitution effects on the optical, electrochemical, solid‐state polymer packing, electron mobility, and air‐stability of the target unipolar n‐type polymers are unraveled. Replacing the sulfur (S) atom in the thiadiazole heterocycles with the Se atom leads to narrower bandgaps and deeper lowest unoccupied molecular orbital (LUMO) levels of the n‐type polymers. Furthermore, the Se‐substituted polymer (pSeN‐NDI) shows shorter lamellar packing distances and stronger edge‐on π–π stacking interactions than its S‐counterpart (pSN‐NDI), as observed by the two‐dimensional grazing‐incidence wide‐angle X‐ray scattering (GIWAXS) patterns. With the deeper LUMO level and thin‐film microstructures suitable for transistors, pSeN‐NDI exhibits four‐fold higher electron mobilities (μ_e) than pSN‐NDI. However, the other Se‐containing polymer, pSeS‐NDI, forms rather amorphous film structures, which is caused by its limited thermal stability and decomposition during the thermal annealing processes, thus giving rise to a lower μ_e than its S‐counterpart (pBBT‐NDI). Most importantly, pBBT‐NDI demonstrates an electron mobility of 0.039 cm² V^?1 s^?1, which is noticeable among the unipolar n‐type polymers based on the BBT and its analogs.     

Analysis of demand‐priority access using a priority queue with server vacations and message dependent switchover times

In this paper, we analyse the message waiting times in a local area network (LAN) that uses the demand‐priority access method. This is a priority‐based round‐robin arbitration method where the central controller (the repeater) polls its connected ports to determine which have transmission requests pending and the requests' priority classes. We model it as a 2‐priority M/G/1 queue with multiple server vacations and switchover time between service periods. The service discipline is nonpreemptive and the length of the switchover time is dependent upon the priority class of the preceding message served as well as that of the message to be served next. We provide an approximate analysis for the waiting times of both message classes and derive expressions for the Laplace–Stieltjes transforms (LST) of the stationary distributions and the mean waiting times. We conclude with numerical and simulation results to show the applicability and accuracy of the analytical model. This revised version was published online in June 2006 with corrections to the Cover Date.     

Improvement of inductive power collection in null-flux maglev system

In the superconducting maglev system it is important to develop a non-contact on-board power source without environmental pollution such as noise and exhaust gases; therefore, inductive power collection (IPC), which utilizes a harmonic magnetic field generated by ground coils in EDS, is being studied. However, alteration to a null-flux EDS that has a high drag ratio reduces the power collecting capacity in the IPC system. In addition, power collecting coils are located on the cryostat of the superconducting coil (SC), so eddy currents at the cryostat also reduce the power collecting capacity. Therefore, an exclusive SC type that locates the exclusive SCs and IPC and power collecting coils so as to face the upper and lower coils of ground coils, respectively, is examined; but we aim to improve the conventional type. After analyzing the influence of eddy currents at the cryostat in detail and improving the composition of the power collecting coil and cryostat, we found that the conventional type has the same capacity as the exclusive SC type. In order to prove the above-mentioned result, we measured the induced voltage of the new-type coils in a test run at Miyazaki test track and confirmed the output of this IPC system in a full-scale synthetic bench test with a PWM converter and magnetic field simulator. © 1998 Scripta Technica. Electr Eng Jpn, 122(2): 48–60, 1998     

Reduction of false positives in lung nodule detection using a two-level neural classification

The authors have developed a neural-digital computer-aided diagnosis system, based on a parameterized two-level convolution neural network (CNN) architecture and on a special multilabel output encoding procedure. The developed architecture was trained, tested, and evaluated specifically on the problem of diagnosis of lung cancer nodules found on digitized chest radiographs. The system performs automatic "suspect" localization, feature extraction, and diagnosis of a particular pattern-class aimed at a high degree of "true-positive fraction" detection and low "false-positive fraction" detection. In this paper, the authors aim at the presentation of the two-level neural classification method in reducing false-positives in their system. They employed receiver operating characteristics (ROC) method with the area under the ROC curve (A(z)) as the performance index to evaluate all the simulation results. The two-level CNN showed superior performance (A(z)=0.93) to the single-level CNN (A(z)=0.85). The proposed two-level CNN architecture is proven to be promising and to be extensible, problem-independent, and therefore, applicable to other medical or difficult diagnostic tasks in two-dimensional (2-D) image environments.     

Realistic image synthesis of a deformable living thing based on motion understanding

This paper describes a system that can synthesize realistic sequential images of moving goldfish based on the image understanding result of real goldfish. To analyze and synthesize images in real-time, we have constructed a hardware system that consists of 32 paralell transputers with a high-speed visual-data interface called VIT (Visual Interface for Transpputer Network). The system is very flexible and powerful for various types of image processing because it can be extended according to the required computational cost. In the understanding process, we assume that the target object, a goldfish in this case, deforms its shape pliably in 3-D space and moves only in a two-dimensional direction. A modeling, called the Bone-Structured Solid Modeler, which is suitable for representing deformable objects such as living things, plays an important role in the understanding and synthesis processes of the deformable object. Three types of constraints for motion, namely, static, dynamic, and object, are utilized to verify the estimated pose and orientation of the object. In the motion synthesis process, realistic moving images are synthesized by controlling the model employing the motion understanding result. Simulation results are presented to show the effectiveness of the system. The technology discussed in this paper is expected to play a key role in the realization of future visual human interfaces.     

Specifying and proving properties of timed I/O automata using Tempo

Timed I/O automata (TIOA) is a mathematical framework for modeling and verification of distributed systems that involve discrete and continuous dynamics. TIOA can be used for example, to model a real-time software component controlling a physical process. The TIOA model is sufficiently general to subsume other models in use for timed systems. The Tempo Toolset, currently under development, is aimed at supporting system development based on TIOA specifications. The Tempo Toolset is an extension of the IOA toolkit, which provides a specification simulator, a code generator, and both model checking and theorem proving support for analyzing specifications. This paper focuses on the modeling of timed systems and their properties with TIOA and on the use of TAME4TIOA, the TAME (Timed Automata Modeling Environment) based theorem proving support provided in Tempo, for proving system properties, including timing properties. Several examples are provided by way of illustration.     

电致发光谱测量β-FeSi2-Si异质结载流子限制

设计了一种将β-FeSi2颗粒埋入非故意掺杂Si中的Si p-π-n二极管来确定β-FeSi2-Si异质结的能隙差.当二极管处于正向偏置时,通过Si n-p-结注入的电子扩散到β-FeSi2并由于Si与β-FeSi2之间的能隙差而受到限制,电荷在异质结的积累反过来阻挡了电子的继续扩散,将电子局域化在靠近Si n-p-结的p--Si区.少子的局域化减少了非辐射复合的途径,Si和β-FeSi2的发光增强,淬灭速率变慢,在室温低电流下仍可得到Si和β-FeSi2电致发光.Si和β-FeSi2发光强度的比率对温度的依存性表明同型异质结对电子限制能力的减弱符合热发射模型,由此确定出Si和β-FeSi2异质结导带带阶差为0.2eV.     

Tough and Self‐Recoverable Thin Hydrogel Membranes for Biological Applications

Tough and self‐recoverable hydrogel membranes with micrometer‐scale thickness are promising for biomedical applications, which, however, rarely be realized due to the intrinsic brittleness of hydrogels. In this work, for the first time, by combing noncovalent DN strategy and spin‐coating method, we successfully fabricated thin (thickness: 5–100 µm), yet tough (work of extension at fracture: 10⁵–10⁷ J m^?3) and 100% self‐recoverable hydrogel membranes with high water content (62–97 wt%) in large size (≈100 cm²). Amphiphilic triblock copolymers, which form physical gels by self‐assembly, were used for the first network. Linear polymers that physically associate with the hydrophilic midblocks of the first network, were chosen for the second network. The inter‐network associations serve as reversible sacrificial bonds that impart toughness and self‐recovery properties on the hydrogel membranes. The excellent mechanical properties of these obtained tough and thin gel membranes are comparable, or even superior to many biological membranes. The in vitro and in vivo tests show that these hydrogel membranes are biocompatible, and postoperative nonadhesive to neighboring organs. The excellent mechanical and biocompatible properties make these thin hydrogel membranes potentially suitable for use as biological or postoperative antiadhesive membranes.