研究者詳細 - 河口　信夫

論文 - 河口　信夫

分割表示 563 件中 21 - 40 件目／全件表示 >>

Additive Compositionality in Urban Area Embeddings Based on Human Mobility Patterns

Tamura N., Terashima H., Shoji K., Katayama S., Urano K., Yonezawa T., Kawaguchi N.

32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024 頁： 577 - 580 2024年10月

記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024

Understanding the characteristics of various urban areas is crucial for applications such as urban planning, tourism policies, market analysis, and infection control. Techniques for embedding areas as vectors in a latent space based on human mobility patterns are actively researched. Many of these area embedding methods define areas as points, grids, or polygons on a geospatial plane and then embed them. However, existing methods do not allow for mutual transformation between these forms and sizes after the initial embedding. Additionally, if the characteristics of an area change due to events such as the opening of new buildings, re-embedding is necessary. Meanwhile, the Word2Vec technique, a representative word embedding method, has a property called additive compositionality. This property allows for the arithmetic operation of word meanings through the arithmetic operations of word embeddings. In this paper, we propose a method to apply this property to existing area embedding techniques, leveraging it for practical tasks such as area shape transformation and searching for areas with trends change.

DOI： 10.1145/3678717.3691279

Scopus

researchmap

Unveiling Human Attributes through Life Pattern Clustering using GPS Data Only

Shoji K., Terashima H., Tamura N., Katayama S., Urano K., Yonezawa T., Kawaguchi N.

32nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL 2024 頁： 621 - 624 2024年10月

Clustering people by their life patterns is valuable in government and business fields. Existing studies often rely on semantic data such as Point of Interest or stay purpose. However, they have the problem that obtaining large datasets is difficult due to the need for annotation work. Some studies try to use only location data. However, they do not reveal the semantics of the area where visitors stay because they only label visited areas by significance according to duration and frequency of stay. In this paper, we propose a framework, LPSeL, for clustering people’s Life Patterns at a Semantic Level using only raw GPS location data. LPSeL is based on the idea that analyzing human mobility first requires understanding urban space. Therefore, it begins with area modeling, which models areas in a city based on people’s activities. Then, treating human mobility as a sequence of area representations makes it possible to model individuals by semantic-level characteristics of their life patterns. We showed that LPSeL is capable of estimating people’s attributes from their life patterns using a real-world dataset consisting of GPS data collected from tens of thousands of smartphone users.

DOI： 10.1145/3678717.3691309

Scopus

researchmap

Time-series Stay Frequency for Multi-City Next Location Prediction using Multiple BERTs 査読有り

Terashima H., Takagi S., Tamura N., Shoji K., Hossain T., Katayama S., Urano K., Yonezawa T., Kawaguchi N.

32nd ACM SIGSPATIAL International Workshop on the Human Mobility Prediction Challenge, HuMob-Challenge 2024 頁： 5 - 9 2024年10月

自律移動ロボットを用いた人流計測のための探索経路生成招待有り査読有り Open Access

下里浩昇, 片山晋, 浦野健太, 米澤拓郎, 河口信夫

情報処理学会論文誌 65 巻頁： 1511 - 1522 2024年10月

倉庫内業務の量子アニーリングによる最適化とシミュレーションによる評価

瀧上昂希，福島悠人，浅井悠佑，片山晋，浦野健太，米澤拓郎，河口信夫

第81回UBI研究会 2024年2月

スマートフォン・全方位カメラを用いた作業効率化のための半自動天伏図作成システム Open Access

小濱大輝, 永田吉輝, 安武和成, 酒見和幸, 片山晋, 浦野健太, 米澤拓郎, 河口信夫

空気調和・衛生工学会大会　学術講演論文集 2024.10 巻 ( 0 ) 頁： 485 - 488 2024年

記述言語：日本語掲載種別：研究論文（学術雑誌）出版者・発行元：公益社団法人空気調和・衛生工学会

<p>建物の改修工事の際，現状の図面が必要となる．10年以上運用された建物では，図面がなかったり，あったとしても過去の改修を反映していなかったりする．天井設備が記載された天伏図の修正のために現地調査がよく行われる．しかし，天井設備の位置や種類を正確に確認するのは手間が掛かる．本研究では，天伏図作成の作業効率を高めるために，スマートフォン・全方位カメラで撮影した動画から，既存建物の天伏図を少ない作業時間で半自動的に作成するシステムを提案する．</p>

DOI： 10.18948/shasetaikai.2024.10.0_485

Open Access

CiNii Research

Area Modeling using Stay Information for Large-Scale Users and Analysis for Influence of COVID-19.

Kazuyuki Shoji, Shunsuke Aoki, Takuro Yonezawa, Nobuo Kawaguchi

arxiv.org/abs/2401.10648v1 abs/2401.10648 巻 2024年

Towards a Real-Time and Energy-Efficient Edge AI Camera Architecture in Mega Warehouse Environment

Asai Y., Mori Y., Higashiura K., Yokoyama K., Katayama S., Urano K., Yonezawa T., Kawaguchi N.

Proceedings - 2024 IEEE 3rd Real-Time and Intelligent Edge Computing Workshop, RAGE 2024 頁： 12 - 17 2024年

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：Proceedings - 2024 IEEE 3rd Real-Time and Intelligent Edge Computing Workshop, RAGE 2024

In response to the exponential growth of e-commerce, our paper addresses the transformation of warehouse operations towards mega warehouses, necessitating advanced digitalization. We focus on the integration and optimization of edge AI technologies to enhance operational efficiency, accuracy, and timeliness in logistic warehouses. We propose a novel edge AI architecture tailored to the processes of warehouse operations ensuring that digitalization aligns with operational workflows. Utilizing a real-world warehouse equipped with over 60 cameras as a testbed, we demonstrate the practical application and benefits of edge computing in logistics. Our experiments have shown significant potential improvements in energy efficiency and timeliness, crucial metrics for the successful integration of edge AI technologies in warehouses.

DOI： 10.1109/RAGE62451.2024.00010

Scopus

Poster: Sustainable Data Management Flow for Spatio-Temporal Datasets

Nagata, Y; Kohama, D; Watanabe, Y; Katayama, S; Urano, K; Yonezawa, T; Kawaguchi, N

PROCEEDINGS OF THE 2024 THE 22ND ANNUAL INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS, APPLICATIONS AND SERVICES, MOBISYS 2024 頁： 688 - 689 2024年

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：MOBISYS 2024 - Proceedings of the 2024 22nd Annual International Conference on Mobile Systems, Applications and Services

Spatio-temporal data is utilized in various fields, but its scale is continuously growing, leading to significant labor and costs in storage and processing. Therefore, the value that can be derived from spatio-temporal data is diluted due to management costs. We propose a new data management flow using various metadata and common programs for spatio-temporal data utilization. Traditionally, various spatio-temporal data processing have been implemented and processed according to each spatio-temporal data. We defined spatio-temporal data structure metadata and performed data processing based on metadata using a common data processing program. Furthermore, we automated the generation of data structure metadata by combining our data skeleton recognition method and generative AI model. Using this flow, we expect to improve the sustainability of utilizing spatio-temporal data.

DOI： 10.1145/3643832.3661423

Web of Science

Scopus

Demo: Assisting System for Creating Ceiling Plan Using a Video from a Smatrphone

Kohama, D; Nagata, Y; Yasutake, K; Katayama, S; Urano, K; Yonezawa, T; Kawaguchi, N

PROCEEDINGS OF THE 2024 THE 22ND ANNUAL INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS, APPLICATIONS AND SERVICES, MOBISYS 2024 頁： 620 - 621 2024年

We present an assisting system for creating a ceiling plan. Conventional methods of creating a ceiling plan are time-consuming and high-cost. Our system requires only two inputs from a user and outputs the panoramic ceiling image that shows the whole ceiling surface. The system detects the ceiling fixtures and depicts them seamlessly for a reliable resulting image. We confirmed the possibility of assisting in creating a ceiling plan with our system through the experiment.

DOI： 10.1145/3643832.3661847

Web of Science

Scopus

Balancing Excitement and Environmental Conservation in Information Dissemination for Safari Game Drives

Shimura, K; Katayama, S; Urano, K; Leleito, E; Yonezawa, T; Kawaguchi, N

DISTRIBUTED, AMBIENT AND PERVASIVE INTERACTIONS, PT I, DAPI 2024 14718 巻頁： 311 - 323 2024年

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

In the context of Kenyan Safari Game Drives, which traditionally rely on visual scouting and intermittent communication, challenges arise regarding the effectiveness of animal detection and environmental conservation. Consequently, animals experience stress, and tourists encounter difficulties in observation due to obstruction by other visitors. Addressing these challenges involves maintaining animal welfare while enhancing tourist satisfaction. To revitalize post-pandemic tourism and enrich safari experiences, this study proposes a wildlife spotting and sharing system. The proposed method integrates wildlife detection and sharing technologies guided by three core principles: preserving encounter serendipity, regulating information access, and promoting environmental conservation. The system architecture incorporates sensors, GPS, and tablet terminals to facilitate real-time data collection, animal identification, and information dissemination. This approach aims to foster an engaging, efficient, and environmentally conscious wildlife spotting and sharing experience, potentially establishing a model for sustainable wildlife tourism in comparable wildlife-rich regions.

DOI： 10.1007/978-3-031-59988-0_19

Web of Science

Scopus

Enhancing Group Telepresence Interaction through Seamless Inverse Panorama Projection on Spherical Display

Hayashida, N; Katayama, S; Urano, K; Yonezawa, T; Kawaguchi, N

COMPANION OF THE 2024 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING, UBICOMP COMPANION 2024 頁： 286 - 289 2024年

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：UbiComp Companion 2024 - Companion of the 2024 ACM International Joint Conference on Pervasive and Ubiquitous Computing

In recent years, advancements in telepresence technology have made remote communication and collaboration easier. MetaPo is a system that uses spherical displays to seamlessly integrate physical and digital interactions. However, conventional inverse panorama techniques face challenges such as image seams, coverage issues, and overlapping displays. To address these challenges, this study proposes an inverse panorama technique based on coordinate transformation, enhancing visual continuity and user experience. Additionally, evaluation methods necessary to demonstrate the effectiveness of the proposed method in improving the quality of remote communication have been devised. This research provides a novel solution to challenges in spherical display technology and paves the way for more immersive telepresence experiences.

DOI： 10.1145/3675094.3678369

Web of Science

Scopus

Demonstration:Remote 3D Scanning with VR and Robotic Arm

Usami, R; Watanabe, K; Gushi, Y; Tsutsui, S; Watanabe, Y; Kano, K; Aikawa, Y; Shimura, K; Hayashida, N; Urano, K; Yonezawa, T; Kawaguchi, N

COMPANION OF THE 2024 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING, UBICOMP COMPANION 2024 頁： 201 - 204 2024年

Although VR headsets have gained widespread acceptance, their potential for real-world actuation remains underexplored. We propose a system that allows to work in VR space using a robotic arm and VR headset, focusing on 3D scanning as the task. The robotic arm is equipped with an RGB-D camera to achieve remote 3D scanning. This system enables immersive remote work and enhances the link between real space and VR space by reproducing the real objects into the VR space.

DOI： 10.1145/3675094.3677548

Web of Science

Scopus

Composite Image Generation Using Labeled Segments for Pattern-Rich Dataset without Unannotated Target Open Access

Kano, K; Mori, Y; Higashiura, K; Hossain, T; Katayama, S; Urano, K; Yonezawa, T; Kawaguchi, N

COMPANION OF THE 2024 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING, UBICOMP COMPANION 2024 頁： 507 - 512 2024年

Although object detection technology using cameras offers potential for various applications, it incurs dataset creation costs to train new models where general-purpose models are ineffective, such as in industrial settings. We have previously developed a semi-automated annotation framework that employs optical flow and representation learning techniques to reduce human effort significantly. However, it was likely to cause unintended annotation omissions and mistakes compared to manual annotation. In this study, we propose a composite image generation approach to create omission-free and pattern-rich datasets. The proposed method synthesizes natural-looking images without unannotated targets by placing labeled foreground segments at their original positions on targetless background frames collected with the same fixed-point cameras. Evaluation with video footage in a logistics warehouse confirmed that improved dataset reliability led to higher model performance.

DOI： 10.1145/3675094.3678447

Open Access

Web of Science

Scopus

OpenUAS: Embeddings of Cities in Japan with Anchor Data for Cross-city Analysis of Area Usage Patterns.

Naoki Tamura, Kazuyuki Shoji, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

CoRR abs/2407.19872 巻 2024年

深層学習PDRとBLEビーコンを用いたハイブリッド測位

加納一馬，東浦圭亮，瀧上昂希，山口公平，永田吉輝，片山晋，浦野健太，米澤拓郎，河口信夫

HCGシンポジウム 2023 2023年12月

Digitization and Analysis Framework for Warehouse Truck Berth 査読有り

Yokoyama, K; Katayama, S; Urano, K; Yonezawa, T; Kawaguchi, N

2023 FOURTEENTH INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND UBIQUITOUS NETWORK, ICMU 2023年12月

Panoramic Ceiling Image Synthesis Method Prioritizing Fixture Outlines using an Omnidirectional Camera 査読有り

Kohama D., Nagata Y., Yasutake K., Urano K., Katayama S., Yonezawa T., Kawaguchi N.

2023 14th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2023 2023年12月

担当区分：最終著者記述言語：英語掲載種別：研究論文（国際会議プロシーディングス）出版者・発行元：2023 14th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2023

The manual creation of a ceiling plan consumes many human resources to confirm the current state of existing buildings for the renovation. Especially the positions and the types of existing fixtures are important. In this paper, we propose a synthesis method for a panoramic ceiling image using a video shot by an omnidirectional camera. We utilize a Visual SLAM method to map the positions of omnidirectional video frames including the ceiling. We prioritize the clear depiction of fixture outlines for easier identification of the types of ceiling fixtures. To draw clear fixture outlines in the resulting image, each fixture is referred from the single video frame that captures it most clearly. In the experiment, we collected an omnidirectional video in the indoor area of approximately 273 square meters with multiple rooms. We evaluated the synthesized image for positional accuracy of the ceiling fixtures, and our proposed method demonstrated higher accuracy compared to the baseline.

DOI： 10.23919/ICMU58504.2023.10412256

Scopus

Digitization and Analysis Framework for Warehouse Truck Berth

Yokoyama K., Katayama S., Urano K., Yonezawa T., Kawaguchi N.

2023 14th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2023 2023年12月

記述言語：英語掲載種別：研究論文（学術雑誌）出版者・発行元：2023 14th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2023

In distribution warehouses, various forms of data transformation are underway, such as the conversion of data related to receiving and inventory management. Distribution warehouses have designated areas known as truck berths, where trucks are parked for loading/unloading. While data collection is expected to enhance work efficiency at these truck berths, there is no data regarding the status of work in progress in the unloading space, and no system is in place to analyze the work. Consequently, it is unclear which tasks are problematic and how to enhance efficiency. To address this issue, this paper proposes a framework for analyzing the loading/unloading situation at truck berths with the objective of enhancing berth utilization efficiency and work efficiency. Specifically, we employed a fixed camera for object detection through instance segmentation. This approach enables us to understand the situation of trucks, unloading spaces, and workers. The training data were annotated using a large amount of real-world data, allowing for the measurement and analysis of the efficiency of loading/unloading operations. By calculating the amount of cargo based on the floor space, we assessed the efficiency of unloading operations per truck. Through the analysis of both efficient and inefficient operations, insights for enhancing work efficiency were provided.

DOI： 10.23919/ICMU58504.2023.10412228

Scopus

Human Mobility Prediction Challenge: Next Location Prediction using Spatiotemporal BERT 招待有り査読有り

Haru Terashima, Naoki Tamura, Kazuyuki Shoji, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

ACM SIGSPATIAL 2023 Workshop HuMob 2023 2023年11月

　前のページ - 次のページ　

<河口 信夫>

論文 - 河口 信夫

<河口　信夫>

論文 - 河口　信夫