To reduce the loads imposed on network administrators, we have proposed AIR-NMS, which is a network management support system (NMS) based on Active Information Resource (AIR). In AIR-NMS, various information resources (e.g., state information of a network, practical knowledge of network management) are combined with software agents which have the knowledge and functions for supporting the utilization of the resources, and thus individual resources are given activities as AIRs. Through the organization and cooperation of AIRs, AIR-NMS provides the administrators with practical measures against a wide range of network faults. To make AIR-NMS fit for practical use, this paper proposes a method for achieving the effective installation and utilization of the network management knowledge needed in AIR-NMS.
We have developed presence sensor-sheets using near-field radio-frequency identification (RFID) systems to detect objects and persons with no RFID tags attached. The sheet is composed of ordinary passive RFID tags and a near-field traveling-wave antenna as a reader antenna. The tags operate as proximity sensors utilizing the dependencies of tag antenna operations on their surroundings. Prototyping the sensor-sheets, we successfully demonstrated beverage bottle detection and human footprint recognition. We expect that this technology is applicable to the practical usage such as managing items on the store shelves, and monitoring people while protecting their privacy.
To clarify sawn-timber quality and those among-family variations of hinoki cypress (Chamaecyparis obtusa), modulus of elasticity (MOE) and modulus of rupture (MOR) were evaluated for 97 pieces of 38 by 89 mm sawn timber produced from half-sib families planted in a progeny test stand at Chiba, Japan. Correlations were evaluated on mechanical properties in standing trees and logs with MOE and MOR in the sawn timber. Elastic properties, such as dynamic Young’s modulus of logs and MOE, were affected by genetic factors compared with air-dry density and MOR. The 5% tolerance limits at a 75% confidence level (f0.05) of MOE and MOR were 8.03 GPa and 39.4 MPa, respectively. The f0.05 values of MOR exceeded the characteristic value of the sawn timber in visual grading class SS of Japanese Agricultural Standard for the JS-I. Visual grading of the sawn timber was effective for eliminating timber with lower MOE. Stress-wave velocity and dynamic Young’s modulus of log and timber were significantly correlated with MOE of sawn timber. Correlation coefficients were also significant between MOR of sawn timber and dynamic Young’s modulus or MOE.
Theory of frequency modulation of electroencephalogram (EEG) in human brain with/without photo-stimulation is presented. Firstly, physical/physiological significance of frequency modulation is discussed based on EEG data in the state of closed eyes at rest. Secondly, possible phenomenological theoretical models under photo-stimulation (PS) are examined to explain the features of intrinsic/induced frequency modulation and the frequency responses induced by PS. Properties of a generalized Kubo oscillator with a parametric periodic driving force are demonstrated to give the qualitative understandings of the observed age-dependent and light-induced natures of EEGs.
Midori64 proposed by Banik et al. in 2015 is an SPN-type block cipher with 128-bit secret key. The designers have evaluated the security of Midori64 against differential attack, linear attack, boomerang-type attack, impossible differential attacks, and meet-in-the-middle attack by themselves. In this paper, we discuss higher-order differential attack on Midori64, which has not been analyzed yet. Higher-order differential attack proposed by Lai is one of the generic cryptanalysis technique focusing on degree of boolean polynomial of encryption function. As a result, we show the 12th-order differential attack on the 10-round variant of Midori64 where we exploit partial-sum technique proposed by Ferguson and the first-round key assumption called a round-elimination technique. The original Midori64 is secure against our attack because it consists of 16 round functions.
This paper describes a precise positioning method for autonomous driving system. Global navigation satellite system (GNSS) is widely used to estimate the vehicle position. The purpose of this paper is improving the accuracy of single-frequency real time kinematic (RTK)-GNSS positioning. In general, it is difficult to solve GNSS carrier phase ambiguity using a single-frequency GNSS receiver in multipath environments. Therefore, we propose a method consists of two approaches to solve this problem. First, reliable GNSS satellites are selected based on the difference of the signal to noise ratio (SNR) between the vehicle and the base station. Second, inertial navigation system (INS) is integrated in least-squares ambiguity decorrelation adjustment (LAMBDA) method to improve the ambiguity resolution performance. As a result of evaluation, the proposed method is effective on improvement of GNSS positioning accuracy.
The drag coefficient for inflatable reentry vehicles shows discrepancies between a wind tunnel experiment and a flight test in a transonic regime. These discrepancies exist in the drag decrease behavior in the transonic regime and local minimum values of drag above the sonic speed in a wind tunnel. Hence, the present paper focuses on uncovering the reasons and mechanisms behind the same and investigates transonic flowfields around a vehicle by using a transonic wind tunnel and the computational fluid dynamics approach. Several test models with diameters ranging from 56 to 96 mm are used to quantitatively evaluate the effects of scale and a sting attached on the rear. Aerodynamic coefficients, pressures at the rear of the model, and density-gradient distributions are measured for operation conditions of freestream Mach numbers ranging between 0.8 and 1.3. In addition, detailed distributions of the flowfield properties are clarified using the computational fluid dynamics method, which is validated by the experimental data. The results indicate that a sting behind the test models reduces the steep drag decrease at transonic speeds and that shock waves reflected on the test-section walls of the wind tunnel result in local minimum values at supersonic speeds.
