90 research outputs found
An effective fault aware test case prioritization by incorporating a fault localization technique
No full textPrior coverage-based test case prioritization techniques aim to increase fault detection rates by ordering the test cases according to some coverage criteria. However, in practice, since detected faults are typically removed, test cases that already covered the previously executed areas might not perform well as expected, irrespective of their coverage. In this case, the ordering of test cases based on coverage information might not be effective. In this paper, we introduce a new test case prioritization technique that considers both coverage and historical fault information by incorporating fault localization technique. Using the historical fault detection information of test cases, our approach adjusts the priorities of fault-found test cases while maintaining test cases with high coverage in high priority. Our approach can reduce the total cost of executing entire test suite(s) and enables to detect faults earlier in a testing process by improving the testing effectiveness compared to the prior coverage-based techniques
A BER-aware ADC design guideline for 112 Gb/s optical DP-QPSK systems
No full textA bit-error-rate (BER) aware design guideline for 56GS/s analog-to-digital converters (ADC) is presented for 112Gb/s coherent optical communication systems. The effective number of bits (ENOB) has been used extensively to quantify the performance of an ADC even though it is only a sufficient condition for the system level BER. In this paper, the relationship between the ENOB of an ADC measured with sinusoids and the system level BER is formulated. The required frequency responses of the ENOB for given OSNR penalty specifications are provided as well. The BER-aware ADC design will lead to power and area reduction by relaxing the ADC requirements for 112Gb/s coherent optical communication systems
Infinite Dimensional Holomorphic Homogeneous Regular Domains (vol 30, pg 223, 2020)
No full textWe correct an error in Lemma 2.3 in our paper with the above title, published in J. Geom. Anal. 30: 223–247.11Nsciescopu
GUIDING ENERGY-BASED MODELS VIA CONTRASTIVE LATENT VARIABLES
No full textAn energy-based model (EBM) is a popular generative framework that offers both explicit density and architectural flexibility, but training them is difficult since it is often unstable and time-consuming. In recent years, various training techniques have been developed, e.g., better divergence measures or stabilization in MCMC sampling, but there often exists a large gap between EBMs and other generative frameworks like GANs in terms of generation quality. In this paper, we propose a novel and effective framework for improving EBMs via contrastive representation learning (CRL). To be specific, we consider representations learned by contrastive methods as the true underlying latent variable. This contrastive latent variable could guide EBMs to understand the data structure better, so it can improve and accelerate EBM training significantly. To enable the joint training of EBM and CRL, we also design a new class of latent-variable EBMs for learning the joint density of data and the contrastive latent variable. Our experimental results demonstrate that our scheme achieves lower FID scores, compared to prior-art EBM methods (e.g., additionally using variational autoencoders or diffusion techniques), even with significantly faster and more memory-efficient training. We also show conditional and compositional generation abilities of our latent-variable EBMs as their additional benefits, even without explicit conditional training. The code is available at https://github.com/hankook/CLEL
라디칼 음이온의 시분해 광탈착 및 광분해 반응동역학 연구
No full text학위논문(박사) - 한국과학기술원 : 화학과, 2024.2,[vi, 97 p. :]Radical anions, formed by attaching electrons to stable molecules, are gaining attention as pivotal role in controlling chemical reactions with excess electrons due to their diverse chemical activities. Moreover, the excited states of radical anions in the anion formation reactions hold the key to the creation and destruction of the anion. However, despite various spectroscopic experiments conducted over half a century, the reaction dynamics of radical anions remain enigmatic. Experimental techniques applied to neutral molecules or deprotonated anions often proved inadequate for radical anions, and phenomena occurring in their excited states were limitedly studied due to experimental constraints. In this thesis, we aim to introduce newly developed experimental techniques for radical anion research. Additionally, we present novel experimental findings and their interpretations. Through the experiments, the presence of multiple non-valence bound states in the anion was discovered, and by leveraging femtosecond lasers, we successfully observed chemical reactions occurring in real-time from these states.한국과학기술원 :화학과
Enhancements of the Kronos Simulation Package and Database for Geometric Design Planning, Operations and Traffic Management in Freeway Networks/Corridors (Phase III)
No full textThis report summarizes the final results of the research effort to develop a freeway traffic simulator with the capability to evaluate freeway operational strategies, such as traffic-responsive ramp metering and high-occupancy vehicles (HOV) lanes. Researchers first developed an efficient software data structure by adopting a dynamic memory allocation scheme to use the available memory as efficiently as possible. That work also included modifying the existing macroscopic, segment-based modeling structure and developing new types of pipeline segments to facilitate detection modeling and further model enhancements. Based on the new segment-based modeling structure, researchers developed a new simulation module to handle HOV lane traffic flows and extended the simulation procedure for an exclusive HOV lane to handle a network of freeways. Further, the simulation model also incorporates a new module to emulate the traffic-responsive ramp metering algorithm implemented by the Traffic Management Center since the 1980s. The new software structure developed in this research allows the future addition of new metering algorithms without major difficulties. To facilitate the data input process for the expanded simulation features, a new Windows-based user interface was developed using the Delphi software development tool kit. With the new user interface, most of the data input process can be done without exiting the main menu screen.Minnesota Department of TransportationKwon, Eil; Kota, Ramesh; Coyle, Michael; Michalopoulos, Panos; Song, Sejun. (1997). Enhancements of the Kronos Simulation Package and Database for Geometric Design Planning, Operations and Traffic Management in Freeway Networks/Corridors (Phase III). Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/152947
Excited-state reaction dynamics of the radical anions revealed by time-resolved photofragment depletion spectroscopy
No full textThe excited-state reaction dynamics of radical anions are investigated using a newly developed technique: time-resolved photofragment depletion spectroscopy. This method leverages differences in photodetachment cross-sections among transient anionic species involved in the reaction pathway. It offers a distinct advantage for studying radical anions, which are typically challenging to probe using conventional spectroscopic techniques due to their low electron affinities. As a benchmark, the method is first applied to I-2(-), whose excited-state behavior is well characterized. The technique is then extended to CH3NO2- and (CH3NO2)(2)(-), enabling real-time probing of the excited-state dynamics of their nonvalence-bound states. Our findings reveal that ultrafast internal conversion from a nonvalence orbital to a valence orbital is followed either by prompt chemical bond dissociation or by comparatively slower cluster decomposition. These results highlight the dynamic role of the nonvalence orbital in driving chemical reactivity.
Obstacle adaptive approaches for distributed task assignment in autonomous mobile robots
No full textThesis (M.S.)--Wichita State University, College of Engineering, Dept. of Electrical Engineering and Computer ScienceIt has many challenges to assign a group of mobile robots to individual targets according to the specific constraints. In addition to the group behavior constraints (one-toone or one-to-many) of the task assignment, some of the performance constraints include (1) proximity from robot to target (2) suitability of robot in performing a task and (3) quality of connectivity among the robots. Due to the computational complexities and the nature of the dynamical systems, the task assignment approaches have been developed as distributed and dynamical systems approaches with various simplified assumptions. In this thesis, first, I investigate one of the most recently proposed distributed task assignment approaches (Peter Molnar's approach) that combines target assignment and motion planning in order to minimize the robots travelling distance and overhead cost for its one-to-one target assignment. Second, I find that the approach does not provide an efficient path finding algorithm in the environment with obstacles. It simply uses proximity sensors to direct the robots away from obstacles. Based upon the observation, third, I propose efficient task assignment approaches to minimize the robot's travel distance and overhead cost in an environment with one immobile obstacle of any shape and size. In detail, the thesis addresses 1) obstacle modeling and simplification: Initially the vertices of an obstacle were provided to the robots. The robots reconstruct the obstacle to a rectangle shape that encircles the original obstacle, 2) obstacle decomposition for an adjustment: The reconstructed obstacle is further decomposed in case if there was a robot or target object present within the reconstructed area, and 3) optimal target path calculation: Two approaches are designed for calculating distance from robot to target by taking the reconstructed obstacle into account. Approach 1 calculates the shortest distance from robot to target along the perimeter of the obstacle. Approach 2 further optimizes the path by connecting the robot and target to the shortest distance vertices of the obstacle. The computational overhead and task assignment efficiency of the proposed approaches are compared via MATLAB simulations
Sports injury and illness incidence among South Korean elite athletes in the 2018 Asian Games: a single-physician prospective study of 782 athletes
No full textObjective The increasing incidence of sports injury among athletes calls for systemic surveillance of injuries and illnesses in this field to develop preventive measures. The patterns of injuries and illnesses that occurred among Korean athletes during the 2018 Asian Games held in Indonesia were studied.Methods We recorded the occurrence of all injuries and illnesses reported to the chief medical officer, coordinated with the help of an instant social messaging application in real time.Results A total of 782 elite athletes participated in 46 sporting events. A total of 141 (18.03%) injuries were recorded, with 121 (15.47%) athletes suffering at least one injury. Out of 141 injuries 80 (56.74%) were in male athletes and 61 (43.26%) were in female athletes. The highest number of injuries was seen among sport climbing athletes (n=10, 71.43%), followed by sepak takraw. A total of 16 (11.35%) injuries were expected to prevent athletes from participation in competition/training. Most of the injuries occurred during training (46.10%), with lower lumbar spine being the most common part injured. A total of 209 (26.72%) illnesses were reported, with at least one illness in 170 (21.73%) athletes. The incidence among female athletes (26.90%) was comparable with that of male athletes (26.90%). Maximum illness rate was reported in table tennis (100%). The most common system involved was gastrointestinal (n=93, 44.49%), followed by respiratory (n=53, 25.36%). Environmental factors were causative in 111 athletes (53.11%) and infection in 79 (37.79%). Illnesses resulted in loss of at least 1 day among 30 (14.35%) athletes.Conclusion Overall 15.47% of athletes suffered at least one injury and 21.73% suffered at least one illness; the incidence of injury and illness varied depending on the type of sports
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