2,448 research outputs found

    Flexible Task coordination for mobile workforce

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    With the advancement of networking and mobile devices, more and more mobile business processes are automated and supported using the technologies. Mobile businesses processes are naturally exposed to uncertainty and dynamic changes that require distributed coordination. In large business organizations, the complexity of the processes also makes central control difficult due to the large number of variables to consider and mobile workers involved. To this end, this paper presents a flexible coordination mechanism for mobile workforce where multiple task assignment models are used together to adapt to dynamic changes and achieve efficiency. The overall system is flexible in that the assignment models are easily added because they are constructed as components, and the switch between assignment models are easy using manual or automated transition between the models. An example application of the model is presented using a real telecommunication organization in Europe where field workers install and repair telecommunication networks for customers

    Sound Demixing Challenge 2023 Music Demixing Track Technical Report: TFC-TDF-UNet v3

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    In this report, we present our award-winning solutions for the Music Demixing Track of Sound Demixing Challenge 2023. First, we propose TFC-TDF-UNet v3, a time-efficient music source separation model that achieves state-of-the-art results on the MUSDB benchmark. We then give full details regarding our solutions for each Leaderboard, including a loss masking approach for noise-robust training. Code for reproducing model training and final submissions is available at github.com/kuielab/sdx23.Comment: 5 pages, 4 table

    Ethanol Production Using Organic Waste

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    Subsurface Condition Evaluation for Asphalt Pavement Preservation Treatments

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    This report presents a case study on the SR-70 section with microsurface for understanding its performance; a development of a methodology for evaluating the asphalt pavement subsurface condition for applying pavement preservation treatments; and a development of a tool for identifying and quantifying the subsurface distresses. From the case study, it was found that the main distresses on SR-70 were longitudinal cracks, fatigue cracks, and potholes. The longitudinal cracking was the most widely distributed distress with 22% of lane length in the 2-mile test section among the three distress types. Based on the water stripping test results and the core visual observations, it was confirmed that the test section on SR-70 had the water stripping problem. In order to have a representative condition indicator for the test section, the conditions were converted into the scores scaled from 0 to 100. Layers with closer to a score of 100 have the better subsurface condition. Therefore, the 28% of the test section length with the surface distress was detected as the fair subsurface condition with a score of 56. The rest 72% of the length was estimated as the good subsurface condition with a score of 78. Similarly, 20.5% of the test section length with the problem locations determined by GPR had the fair subsurface condition with a score of 56 and the rest 79.5 % of the length had the good subsurface condition with a score of 76. The lab test results showed poor correlations among the water stripping severities, air voids, and tensile strengths. Thus, the air voids or tensile strength cannot properly estimate the water stripping severity or vice versa. When the laboratory test results with the surface distresses or in the GPR-based problem locations were compared to that without the surface distresses or in the GPR-based non-problem locations, in general, average air voids and water stripping severities decrease and average tensile strengths increase. The observation confirms that the evaluation processes are applicable for evaluating the subsurface condition. Furthermore, the probability that a location determined to be problematic by GPR to be on one of poor conditions based on lab tests was 1.0. The same probability was obtained for a GPS-based problem location. Accordingly, it was concluded that the laboratory tests with the surface distresses survey or the GPR measurement were reliable method to evaluate the subsurface condition. The FWD results had a weak correlation with the laboratory test results possibly due to fairly long testing interval (i.e., 328 ft). The current FWD test protocol should be improved for evaluating the subsurface condition in pavement preservation application. Guidelines of subsurface condition evaluation for pavement preservation treatment application was developed utilizing the findings from the case study. A concept of hierarchy was used in the guideline by taking project importance and available resources into consideration. A tool including guidelines, computer software (e.g., iSub and iMoisture), and its manual was also developed based on the methodology as a research product. Based on the guideline, it was concluded that the subsurface condition of the case study section on SR-70 was inadequate for the application of the pavement preservation treatments

    Innovative Wireless Power Receiver for Inductive Coupling and Magnetic Resonance Applications

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    This chapter presents a wireless power receiver for inductive coupling and magnetic resonance applications. The active rectifier with shared delay-locked loop (DLL) is proposed to achieve the high efficiency for different operation frequencies. In the DCโ€“DC converter, the phase-locked loop is adopted for the constant switching frequency in the process, voltage, and temperature variation to solve the efficiency reduction problem, which results in the heat problem. An automatic mode switching between pulse width modulation and pulse frequency modulation is also adopted for the high efficiency over the wide output power. This chip is implemented using 0.18 ฮผm BCD technology with an active area of 5.0 mm ร— 3.5 mm. The maximum efficiency of the active rectifier is 92%, and the maximum efficiency of the DCโ€“DC converter is 92% when the load current is 700 mA
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