scholarly journals AI Based Digital Transformation for Rack Storage Management in Smart Factory

Author(s):  
Milan Kumar et al., Milan Kumar et al., ◽  
2021 ◽  
Vol 4 ◽  
pp. 1-6
Author(s):  
Gema Martín-Asín López ◽  
Lorenzo Camón Soteres ◽  
Gonzalo Moreno Vergara ◽  
Andrés Arístegui Cortijo

Abstract. The increasingly widespread implementation of databases with geographical component, as well as the impregnation of geolocation culture, is driving a transformation in the storage, management and exploitation of geospatial information. Real-world elements go from being modeled as mere geometric representations, with just cartographic purposes, to be features with their own entity. Unique identifiers and lifecycle management are assigned to these features, allowing interactions between feature instances from different databases, that is, facilitating digital transformation and, therefore, increasing exponentially the exploitation possibilities.In this regard, the National Geographic Institute of Spain (IGN, by its Spanish acronym) have implemented several processes in its National Topographic Database, such as the connection with the cadastral information, in order to take advantage of its updates and give feedback to improve cadastral data; or the link with the information, in addresses form, provided from different public administration, that is processed to geolocate features in the topographic database. Likewise, work is being done in order to implement new processes that allow linking with other data sets.These processes, in addition to reusing information produced by different public administrations, constitute an advance towards the objective of geospatial information databases continuous updating.


2018 ◽  
Vol 23 (09) ◽  
pp. 25-25
Author(s):  
Sabine Schützmann

Am 17. und 18. Oktober findet im Hasso-Plattner-Institut (HPI) in Potsdam zum zweiten Mal die HIMSS Impact statt: Ein englischsprachiges Symposium, welches aktuelle Trends im Gesundheitswesen, digitale Strategien und jüngste Forschungserkenntnisse beleuchtet.


2020 ◽  
pp. 37-55 ◽  
Author(s):  
A. E. Shastitko ◽  
O. A. Markova

Digital transformation has led to changes in business models of traditional players in the existing markets. What is more, new entrants and new markets appeared, in particular platforms and multisided markets. The emergence and rapid development of platforms are caused primarily by the existence of so called indirect network externalities. Regarding to this, a question arises of whether the existing instruments of competition law enforcement and market analysis are still relevant when analyzing markets with digital platforms? This paper aims at discussing advantages and disadvantages of using various tools to define markets with platforms. In particular, we define the features of the SSNIP test when being applyed to markets with platforms. Furthermore, we analyze adjustment in tests for platform market definition in terms of possible type I and type II errors. All in all, it turns out that to reduce the likelihood of type I and type II errors while applying market definition technique to markets with platforms one should consider the type of platform analyzed: transaction platforms without pass-through and non-transaction matching platforms should be tackled as players in a multisided market, whereas non-transaction platforms should be analyzed as players in several interrelated markets. However, if the platform is allowed to adjust prices, there emerges additional challenge that the regulator and companies may manipulate the results of SSNIP test by applying different models of competition.


Author(s):  
A.A. Yuryeva ◽  
◽  
A.A. Stepanov ◽  
I. Pshekhotska ◽  
Ya. Sobon' ◽  
...  

Монография посвящена исследованию проблемы современных императивов реализации инновационной политики в условиях цифровизации как установки на эффективное управление и активизацию инновационного поведения и деятельности. Особое внимание уделено организационно-управленческим, гуманистическим, культурно-историческим, профессионально-кадровым и иным императивам, формирующим потенциальные возможности, открывающие новые перспективы эффективного инновационного развития на основе перехода к новой модели построения и функционирования организации. Императивы нацелены на освоение приемов стандартов взаимодействия субъектов-участников в процессе реализации инновационной политики, которые позволяют эффективно и организованно справляться с возникающими проблемами. Монография рассчитана на профессорско-преподавательский состав университетов, других высших учебных заведений, докторантов, аспирантов, магистрантов, студентов, изучающих проблемы управления реализацией инновационной политики в цифровой экономике.


Author(s):  
Tamara Green

Much of the literature, policies, programs, and investment has been made on mental health, case management, and suicide prevention of veterans. The Australian “veteran community is facing a suicide epidemic for the reasons that are extremely complex and beyond the scope of those currently dealing with them.” (Menz, D: 2019). Only limited work has considered the digital transformation of loosely and manual-based historical records and no enablement of Artificial Intelligence (A.I) and machine learning to suicide risk prediction and control for serving military members and veterans to date. This paper presents issues and challenges in suicide prevention and management of veterans, from the standing of policymakers to stakeholders, campaigners of veteran suicide prevention, science and big data, and an opportunity for the digital transformation of case management.


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