NTT Data Research Articles

Use of 5G technology for oncological surgery streaming

This paper discusses the benefits of surgery streaming and tele-mentoring, as well as the use of 5G technology in surgical procedures. The paper describes the advantages of using wireless 5G broadband as a low-latency and large-bandwidth capacity connection, which can solve problems with cables and large equipment in the surgery room. The Chilean oncology clinic Fundación Arturo López Pérez coordinated an international project with Japanese companies NTT Data and Allm Inc. to implement a proof of concept using 5G technology for the transmission of an oncological surgery. This project consisted of the installation of a local 5G network, its configuration and testing, and the realization of the first broadcast of a robotic partial nephrectomy in Latin America using the 5G broadband. The paper provides details on the hardware infrastructure and components used in the project

Association Between Individual Differences in Dichotomous Thinking and Current and Childhood High-Crime Environments.

The way people perceive the things around them is closely related to living in a complex and challenging social environment. Dichotomous thinking (preference for dichotomy, dichotomous belief, and profit-and-loss thinking), which classifies things in a simple way, can be useful in dangerous and resource-limited environments. However, based on prior studies, people's manner of perceiving things may have developed as a response to the harshness of their childhood environment, and may not be related to their current environment. Therefore, we examined the relationship between individual differences in dichotomous thinking and high-crime environments as indicators of environmental harshness. We assessed dichotomous thinking in 41,284 Japanese residents using large-scale data from the Human Information Database FY19 compiled by NTT DATA Institute of Management Consulting, Inc. The fixed effects regression model showed that, after controlling for age, high-crime environment of the residents' childhood was associated with dichotomous thinking, with the exception of dichotomous belief. On the other hand, their current environment of crime was not associated. In sum, our research suggests that people's dichotomous thinking tendency may be a form of adaptation to the harshness of their childhood environment rather than their current one.

Model Trend Parabola untuk Memproyeksi Jumlah Kematian Bayi dan Balita yang Terdata di Badan Pusat Statistik Provinsi NTT Tahun 2023

Researchers projected data on the number of child and under-five deaths recorded at the East Nusa Tenggara Province BPS using the parabolic trend model. The data reference used is BPS data for the province of East Nusa Tenggara from 2016 to 2020. Based on the analysis of the researcher's data, it was found that the number of cases of infant and under-five deaths in 2021 recorded in the NTT BPS data was 346.5 people. the number of cases of infant and under-five deaths in 2022 recorded in the BPS NTT data was 1,054.63 people, and the number of cases of infant and under-five deaths in 2023 recorded in the NTT BPS data was 2,457 people. The researcher concluded that there was an increase in awareness from the public to take medical action and also the seriousness of the medical staff to record properly and increase work discipline. It is also necessary to take strategic steps to reduce the number of child and under-five mortality cases in East Nusa Tenggara province.

Data-driven Soil Cultivation Promoted by NTT DATA

Data-driven Soil Cultivation Promoted by NTT DATA

NTT and Dimension Data Sign Memorandum of Understanding with Deakin University and Western Sydney University to Accelerate Innovation

NTT and Dimension Data Sign Memorandum of Understanding with Deakin University and Western Sydney University to Accelerate Innovation

Development of optimization model for power system operation, outline of model design and verification of output

AbstractOsaka Gas Co., Ltd., jointly with NTT DATA Mathematical Systems Inc., has developed unit‐commitment model for optimizing dispatch of power generation units. Main purpose of this development is to simulate the future world of electric power system in accordance with national energy policy aiming to introduce large amount of renewable energy as well as vitalized cross‐border power exchange via PX market to enhance economically‐efficient power system operation. The model incorporates not only constraints of supply‐demand balance but also constraints of operating reserves, regulation reserves, maximum CO2‐emissions, etc.

A Study on Employer Branding Dimensions in Selected IT Firms

The factors associated with branding were identified beneath communication/marketing remit. There existed no difference between the employer brand and consumer brand. Companies who had strong product/ service brand would de facto be attractive to potential employees. Today, companies require blended capabilities. Ultimately, it is the personal experience of the relationship that a person develops within an organization that determines the longevity and win-win consummation of association. An extended concept of relationship marketing principle is Employer branding. An endeavor has been made through this research with an objective to identify the Employer Branding Dimensions (EBD) in selected Information technology firms located in Bangalore from existing employee perspective. Study has been executed using structured questionnaire with Information Technology (IT) employees as respondents from various companies like, Infosys, IBM, NTT DATA, Marvell technologies, JDA software solutions. Data thus collected is analysed using software package and considering the factor loadings, key dimensions (factors) that constituted the Employer branding. The findings of the study emphasize that relationship among dimensions constituting individual employer branding highlights the complexity in its significance as no individual factor has dominant influence on Employer Branding. But many factors in combination acts on branding.

Open Innovation Strategy Pursued by NTT DATA Italy

Open Innovation Strategy Pursued by NTT DATA Italy

Global Expansion of Apache Hadoop/Apache Spark Activities at NTT DATA

Global Expansion of Apache Hadoop/Apache Spark Activities at NTT DATA

NTTデータのプロジェクト・リーダー育成プログラムとプロジェクト・マネジメントへの取り組みの紹介

NTTデータのプロジェクト・リーダー育成プログラムとプロジェクト・マネジメントへの取り組みの紹介

Overview of NTT DATA Technology Foresight 2017

Overview of NTT DATA Technology Foresight 2017

2310 情報システム開発のノウハウ共有手法としてのパターン整備手法 : NTTデータにおけるIT基盤領域のプロジェクト管理におけるアンチパターンの整備事例(一般セッション)

2310 情報システム開発のノウハウ共有手法としてのパターン整備手法 : NTTデータにおけるIT基盤領域のプロジェクト管理におけるアンチパターンの整備事例(一般セッション)

Establishing a Global and Local Brand of NTT DATA with an Eye to Our Clients' Future

Establishing a Global and Local Brand of NTT DATA with an Eye to Our Clients' Future

GENERATION OF THE 30 M-MESH GLOBAL DIGITAL SURFACE MODEL BY ALOS PRISM

Abstract. Topographical information is fundamental to many geo-spatial related information and applications on Earth. Remote sensing satellites have the advantage in such fields because they are capable of global observation and repeatedly. Several satellite-based digital elevation datasets were provided to examine global terrains with medium resolutions e.g. the Shuttle Radar Topography Mission (SRTM), the global digital elevation model by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER GDEM). A new global digital surface model (DSM) dataset using the archived data of the Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) onboard the Advanced Land Observing Satellite (ALOS, nicknamed “Daichi”) has been completed on March 2016 by Japan Aerospace Exploration Agency (JAXA) collaborating with NTT DATA Corp. and Remote Sensing Technology Center, Japan. This project is called “ALOS World 3D” (AW3D), and its dataset consists of the global DSM dataset with 0.15 arcsec. pixel spacing (approx. 5 m mesh) and ortho-rectified PRISM image with 2.5 m resolution. JAXA is also processing the global DSM with 1 arcsec. spacing (approx. 30 m mesh) based on the AW3D DSM dataset, and partially releasing it free of charge, which calls “ALOS World 3D 30 m mesh” (AW3D30). The global AW3D30 dataset will be released on May 2016. This paper describes the processing status, a preliminary validation result of the AW3D30 DSM dataset, and its public release status. As a summary of the preliminary validation of AW3D30 DSM, 4.40 m (RMSE) of the height accuracy of the dataset was confirmed using 5,121 independent check points distributed in the world.

GENERATION OF THE 30 M-MESH GLOBAL DIGITAL SURFACE MODEL BY ALOS PRISM

Topographical information is fundamental to many geo-spatial related information and applications on Earth. Remote sensing satellites have the advantage in such fields because they are capable of global observation and repeatedly. Several satellite-based digital elevation datasets were provided to examine global terrains with medium resolutions e.g. the Shuttle Radar Topography Mission (SRTM), the global digital elevation model by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER GDEM). A new global digital surface model (DSM) dataset using the archived data of the Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) onboard the Advanced Land Observing Satellite (ALOS, nicknamed “Daichi”) has been completed on March 2016 by Japan Aerospace Exploration Agency (JAXA) collaborating with NTT DATA Corp. and Remote Sensing Technology Center, Japan. This project is called “ALOS World 3D” (AW3D), and its dataset consists of the global DSM dataset with 0.15 arcsec. pixel spacing (approx. 5 m mesh) and ortho-rectified PRISM image with 2.5 m resolution. JAXA is also processing the global DSM with 1 arcsec. spacing (approx. 30 m mesh) based on the AW3D DSM dataset, and partially releasing it free of charge, which calls “ALOS World 3D 30 m mesh” (AW3D30). The global AW3D30 dataset will be released on May 2016. This paper describes the processing status, a preliminary validation result of the AW3D30 DSM dataset, and its public release status. As a summary of the preliminary validation of AW3D30 DSM, 4.40 m (RMSE) of the height accuracy of the dataset was confirmed using 5,121 independent check points distributed in the world.

Artificial Intelligence Technology Development and Its Practical Use at NTT DATA

Artificial Intelligence Technology Development and Its Practical Use at NTT DATA

Initiatives Related to the Creation of New NTT DATA Services

Initiatives Related to the Creation of New NTT DATA Services

Geometry of multiclass Fisher's linear discriminant analysis via communication theory

Event Abstract Back to Event Geometry of multiclass Fisher's linear discriminant analysis via communication theory Jun Fujiki1* 1 Fukuoka University, Applied Mathematics, Faculty of Science, Japan This paper provides a geometrical aspect of Fisher's linear discriminant analysis (FLDA) for a multiclass case. FLDA has been widely used due to its simple formulation and low computational costs. Recently, a new framework of pattern recognition based on a communication of class information is proposed. This model is quite different from a commonly used framework of pattern recognition as a mapping from the set of patterns to the set of classes. In the new framework, patterns are regarded as class information with redundant encoding. Then it has been shown that two-class FLDA can be described as communication theory of noisy channel. In this paper, we extend the two-class FLDA as communication theory to the multiclass FLDA case. Acknowledgements This is a joint work with Masaru Tanaka (Fukuoka Univ.), Hitoshi Sakano (NTT Data) and Akisato Kimura (NTT communication Science Laboratories). Keywords: discriminant analysis, information geometry, Communication theory, Signal space, reduction mapping, imbedding mapping Conference: German-Japanese Adaptive BCI Workshop, Kyoto, Japan, 28 Oct - 29 Oct, 2015. Presentation Type: Oral presentation (Invited speakers) Topic: Adaptive BCI Citation: Fujiki J (2015). Geometry of multiclass Fisher's linear discriminant analysis via communication theory. Front. Comput. Neurosci. Conference Abstract: German-Japanese Adaptive BCI Workshop. doi: 10.3389/conf.fncom.2015.56.00023 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 17 Sep 2015; Published Online: 04 Nov 2015. * Correspondence: Dr. Jun Fujiki, Fukuoka University, Applied Mathematics, Faculty of Science, Jonan-ku, 8140180, Japan, fujiki@fukuoka-u.ac.jp Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Jun Fujiki Google Jun Fujiki Google Scholar Jun Fujiki PubMed Jun Fujiki Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.

Automation Technology for Software Development at NTT DATA

Automation Technology for Software Development at NTT DATA

NTT DATA's Efforts for OpenFlow/SDN

NTT DATA's Efforts for OpenFlow/SDN