13197 research outputs found
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Effects of Visual and Somatosensory Stimuli for Locomotion in Virtual Reality
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Understanding the Effectiveness of Augmented Reality for Training Individuals
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ヒ セッショク センサ オ モチイタ ニチジョウ セイカツ センシング システム ト コウドウ ノ キョウキセイ ニ モトヅク フクスウ キョジュウシャ ノ コウドウ ニンシキ シュホウ ノ ケンキュウ
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Genetic and morphological dissection of sexual differentiation processes in the liverwort Marchantia polymorpha
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フローティング ゾーン ヨウユウキュウレイホウ ニ ヨル ジュウゲンソケイ コウユウテン サンカブツ ガラス シンチレータ ノ カイハツ ケンキュウ
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Multichannel bandpass mosaic filter for spectral imaging in near-infrared fundus camera
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Extrapolation performance improvement by quantum chemical calculations for machine-learning-based predictions of flow-synthesized binary copolymers
No full textThe properties of polymers are highly dependent on the combination and composition ratio of the monomers used to prepare them; however, the large number of available monomers makes an exhaustive investigation of all the possible combinations difficult. In the present study, five binary copolymers were prepared by radical polymerization using a flow reactor and the prediction performance of a machine learning model constructed using the obtained data was evaluated for the interpolation and extrapolation regions. Copolymer analysis was performed using ultra-high-performance liquid chromatography, and the measurement results were analysed to calculate the monomer conversion and monomer composition ratio in the polymer, which were used as objective variables. A prediction model was constructed using the process variables during polymerization and additional molecular descriptors (i.e., molecular flags (one-hot encoding), fingerprints or quantum chemical calculation values) related to the monomer type as explanatory variables. In the interpolated regions where all monomer types used were included in the training data, the prediction accuracy was high irrespective of the molecular descriptors added to the process variables. In the extrapolation region, the model that included explanatory variables corresponding to quantum chemical calculation values representing the energy generated when radical reactions occur, showed a high prediction accuracy for each objective variable. We found that quantum chemical calculation values (especially the molecular orbital energy of monomers in the extrapolation region) are important factors in the search for new binary copolymers prepared by radical polymerization. The proposed model is expected to accelerate the development of polymers using new monomers.journal articl
Echo TEMPEST: EM Information Leakage Induced by IEMI for Electronic Devices
No full textElectromagnetic (EM) information leakage encourages attacks, wherein the attackers passively capture and analyze EM waves that are unintentionally generated by devices. Generally, devices with weak EM emission intensities are not targeted. However, even these devices would be subject to attacks if it becomes possible to actively sense the electrical changes that occur within them when information is processed. This article demonstrates the feasibility of the information leakage threat induced by the active sensing of input impedance changes in the input/output (I/O) circuit of an integrated circuit (IC). Specifically, the changes in the input impedance when information was transmitted from the IC, were measured by irradiating the EM waves from outside the target device. This article labels the threat as Echo TEMPEST. The experiment validated Echo TEMPEST with an evaluation board that simulated the I/O circuit of the IC, UART modules, and USB keyboards. It was also demonstrated that attackers could control the distance (obtained information from the target device), depending on the intensity of the irradiated EM waves. Furthermore, we discussed countermeasure methods focusing on the conditions for executing Echo TEMPEST.journal articl
Mitigation of ADS-B Spoofing Attack Impact on Departure Sequencing Through Modulated Synchronous Taxiing Approach
No full textApart from delay to flight arrivals, occurrence of ghost aircraft from ADS-B message injection attack will also cause delay to the departure operations. Moreover, if attacks are designed meticulously, departure operations can suffer substantially with extensive flight delays and cancellations. To mitigate this incident, we propose a custom method for taxiing-out which encompasses three key components. First is by establishing situational awareness based on pivotal information about the taxiway and spoofing conditions. Next is application of dedicated algorithms to quickly capitalize available time to initiate aircraft clusters taxiing-out after temporal suspension. Lastly is the function to alternately switching clusters to recommence taxiing-out depending on changes in spoofing pattern. We simulated our proposed ‘Modulated Synchronous Taxiing Approach’ under several attack scenarios coupled with various taxiing-out schedules using a specially built discrete events model. Through a model that is formed based on integrated queues driven by a taxiing-out algorithm, experiment results show that our proposed approach fares better than other conventional taxiing-out approaches with more aircraft managed to get into the runway or closer to the runway. Overall, our proposed approach enhances departure operations resiliency whilst constantly maintaining safety first principle as the utmost priority amid uncertainties caused by cyberattack.journal articl
High gain complementary inverters based on comparably-sized IGZO and DNTT source-gated transistors
No full textWe report the first implementation of a complementary circuit using thin-film source-gated transistors (SGTs). The n-channel and p-channel SGTs were fabricated using the inorganic and organic semiconductors amorphous InGaZnO (IGZO) and dinaphtho[2,3-b:2′,3′-f]thieno[3,2-b]thiophene (DNTT), respectively. The SGTs exhibit flat output characteristics and early saturation (dVDSAT/dVGS = 0.2 and 0.3, respectively), even in the absence of lateral field-relief structures, thanks to the rectifying source contacts realized with Pt and Ni, respectively. Hence, the complementary inverter shows excellent small-signal gain of 368 V V22121, making them highly suited to low and moderate speed digital thin-film applications. This proof-of-concept demonstration provides encouraging results for further integration and circuit level optimizations.journal articl