Data wrangling is a critical yet often labor-intensive process, essential for transforming raw data into formats suitable for downstream tasks such as machine learning or data analysis. Traditional data wrangling methods can be time-consuming, resource-intensive, and prone to errors, limiting the efficiency and effectiveness of subsequent downstream tasks. In this paper, we introduce AutoDW: an end-to-end solution for automatic data wrangling that leverages the power of Large Language Models (LLMs) to enhance automation and intelligence in data preparation. AutoDW distinguishes itself through several innovative features, including comprehensive automation that minimizes human intervention, the integration of LLMs to enable advanced data processing capabilities, and the generation of source code for the entire wrangling process, ensuring transparency and reproducibility. These advancements position AuoDW as a superior alternative to existing data wrangling tools, offering significant improvements in efficiency, accuracy, and flexibility. Through detailed performance evaluations, we demonstrate the effectiveness of AutoDW for data wrangling. We also discuss our experience and lessons learned from the industrial deployment of AutoDW, showcasing its potential to transform the landscape of automated data preparation.

Purpose of this work is investigation of validity on redundancy techniques for soft-error mitigation in sequential elements such as flop-flops and latches. We have evaluated multi-cell-upset (MCU) in sequential elements through neutron acceleration experiments at Osaka Univ. We have calculated mitigation efficiency of the redundancy technique from the experimental results. MCU ratio increases with technology advancing. Validity of the redundancy technique is kept even on advanced technologies.

Connection stability is important in vehicle-to-vehicle communication for applications that exchange messages for collision warning, cooperative driving, and other high-urgency purposes. Many of the existing communication protocols for mobile ad hoc networks assume the use of, portable gaming players, PDAs and other general-purpose devices, thus reducing the reliability of connection stability and communication. Therefore, greater efficiency can be expected by specializing systems for vehicle-to-vehicle communication using position information. To improve connection stability, we propose a method for constructing network groups according to lane position and evaluate the proposed method by simulation. We also describe a method of automatic assignment of IP addresses using IPv6 and a combination of network addresses defined for each lane and a specific host address for each vehicle.

This paper addresses the importance of cognitive accessibility and cognitive usability as critical requirements for universal design of information. Information should not be said to be accessed unless its content is cognitively internalized or understood by the user. Accessibility of information, therefore, should be evaluated not only for its perceivability but also for its understandability. We proposed a new cognitive walkthrough (CW) method whose CW questions were formulated based on an extended HCI model that distinguishes between perceiving and understanding. Applied to a Web design evaluation study, the extended CW was shown to be more effective in identifying accessibility and usability problems while remaining as efficient as the currently-practiced CW.

Much signaling equipment (e.g. signals, switching devices) are installed along railway tracks, and these are working in cooperation with each other, referring to other signaling equipment status. In today's railway signaling system, this information is transmitted using signal cables. Owing to this installation of signaling system itself, especially installation of signal cable, we have some problems on our conventional signaling system. The problems are 1st "high cost for construction", 2nd "many faults from mistakes in cable connection", and 3rd "much time for restoring when it has failed". To solve these problems we have developed a new signaling system based on network technology, utilizing Ethernet-passive optical network (E-PON). In this paper, we introduce this system, and define the requirements for securing safety, availability and environmental resistance of this system. Then we describe concrete techniques for realizing the requirements

We describe results obtained from a testbed used to investigate different codings for automatic face recognition. An eigenface coding of shape-free faces using manually located landmarks was more effective than the corresponding coding of correctly shaped faces. Configuration also proved an effective method of recognition, with rankings given to incorrect matches relatively uncorrelated with those from shape-free faces. Both sets of information combine to improve significantly the performance of either system. The addition of a system, which directly correlated the intensity values of shape-free images, also significantly increased recognition, suggesting extra information was still available. The recognition advantage for shape-free faces reflected and depended upon high-quality representation of the natural facial variation via a disjoint ensemble of shape-free faces; if the ensemble comprised nonfaces, a shape-free disadvantage was induced. Manipulation within the shape-free coding to emphasize distinctive features of the faces, by caricaturing, allowed further increases in performance; this effect was only noticeable when the independent shape-free and configuration coding was used. Taken together, these results strongly support the suggestion that faces should be considered as lying in a high-dimensional manifold, which is locally linearly approximated by these shapes and textures, possibly with a separate system for local features. Principal components analysis is then seen as a convenient tool in this local approximation.

To investigate the nature of facial information involved in the integration of audiovisual speech perception, we examined the influence of facial views on the McGurk effect under two auditory conditions. While the speech perception of most of the audiovisual syllables used was little affected by the facial views and the auditory noise, a stronger McGurk effect was obtained for the 3/4-view image uttering labial sounds presented with auditory syllables of alveolars under the auditory noise. However, the facial view did not affect the visual identification of labials in the same way. These results suggest that the information about labial or nonlabial is not the only facial information involved in the McGurk effect. It appears some other information available only in the 3/4-view image might also be involved in the McGurk effect. Implications for the processing of visual, auditory and audiovisual speech are discussed.

We derive a machine-based face recognition system theoretically which is similar to many practical ones and show its behaviour has features of the human system. We reproduce the caricature effect, show that human and machine-based similarity and distinctiveness are connected and confirm machine based predictions of typicality with human data. Finally we draw lessons for machine-based recognition.

By utilizing high precision stereo- vision technology, flying articles such as baseballs are observed in real-time operation to find the lo- cus. The geometrical position of a moving base- ball is determined at every point using televi- sion images. Various characteristics such as speed and flying locus curvature are precisely analyzed, and the arrival point of the ball in the batter- plane can be forecast at every moment the ball is observed by television camera. This forecast can be utilized by a robot catcher who takes the place of a human catcher. A robot batter is also used instead of a human batter. These techniques are effectively utilized for the analysis of base- ball dynamics, player training and player evalu- ation. These techniques may also be applied to research in other sports as well as other physical phenomenons.