Auswahl der wissenschaftlichen Literatur zum Thema „Google Workspace“

During the pandemic, educators around the world were unexpectedly encouraged to switch to online and distance learning. They tried to integrate face-to-face learning–teaching processes in the classrooms into the technological environment and to sustain this process in the best way. In this research, it is aimed to examine the current results in the current studies on technology integration into the teaching–learning processes in the literature. In order to collect data, a descriptive compilation pattern was used within the frame of the Literature Search method based on the qualitative method. The data obtained by examining the current articles obtained with the keyword “Technology Integration” were used in the research. As a result of the study, it was seen that technology integration is a complex and multidimensional process with several dynamics, and full integration cannot be achieved. As a result, recommendations were made in the context of various models and Google Workspace tools to help ensure technology integration in line with the obstacles specified in the studies.

Abstract The article at hand analyses the aesthetic dimension of contemporary “tech companies,” particularly how their characteristic rhetoric of creativity, collaboration and disruption is built into the aesthetics of the physical work environments. For that purpose, proceduralist reading and environmental storytelling, usually applied to analyse meaning-making in digital game spaces, are adapted to conduct a comparative spatial affordance analysis on material from Officesnapshots, one of the largest online repositories for workspace documentation. Expanding upon earlier definitions of spatial affordances as quasi-textual features, the article defines the design elements of tech offices as a continuation of verbal and (audio-)visual corporate rhetoric employed by companies like Google, Facebook or Etsy. It thereby contributes a material-semiotic dimension to current debates about the epistemic implications of these software platforms, which José van Dijck summarises using the term “platform society.” Besides game and play studies, elements of architectural semiotics and cultural analyses of support spaces (e.g. Kracauer 1999 and Moran 2005) as well as broader concepts such as the politics of theming (Freitag 2017) or the embedding of digital technologies into physical spaces (Kitchin and Dodge 2011) complement the theoretical framework.

ABSTRACT ERGONOMICS is a way to work smarter - not harder by designing tools, equipment, workstations and tasks to fit the job to the worker-NOT the worker to the job. In the dental profession, dentists spend their work days in an awkward static position performing extremely precise procedures in a 2“×2 ½” workspace-the patient's mouth. Therefore, they are at a greater risk of work- related musculoskeletal disorders than is the general population. These disorders can result in pain and dysfunction of neck, back and hands and fingers. This article is aimed at providing some interventions that can considered by the dentists in light of their own experience and needs. It also discusses the important issues of posture and offers different exercises to work with comfort, efficiency and ease. A broad research of published literature was performed using the keyword ergonomics, MSD's and stretches from 1983- 2016 in google scholar, internet and text books.

Pesatnya perkembangan teknologi akan mendorong masyarakat untuk meningkatkan kemampuan teknologi. Sebagai sebuah institusi, Universitas Amikom Purwokerto menerapkan sistem pembelajaran secara online dengan memanfaatkan sistem E-Learning. Masalah yang ada pada sistem e-learning di Universitas Amikom Purwokerto masih terdapat pengguna yang kesulitan dalam memahami dari sisi format (bentuk) struktur menu yang ada seperti portofolio, my workspace, my competence, dan learning progress. Tujuan dari penelitian ini adalah untuk mengetahui hasil evaluasi kepuasan pengguna sistem E-Learning di Univeristas Amikom Purwokerto pada variabel content, accuracy, format, ease of use, dan timeliness. Peneliti akan melakukan evaluasi kepuasan pengguna sistem E-Learning menggunakan metode End User Computing Satisfaction (EUCS). Sampel yang digunakan pada penelitian ini berjumlah 100 orang yang diambil dari populasi mahasiswa aktif dan dosen Universitas Amikom Purwokerto. Dalam pengumpulan data kuesioner, peneliti menggunakan link google form untuk dibagikan ke responden. Hasil dari uji hipotesis yang diajukan terdapat 3 variabel yang menunjukkan hipotesis diterima dan mempunyai pengaruh yang signifikan, yaitu variabel content (isi), accuracy (akurat), dan ease of use (kemudahan penggunaan). Variabel format dan timeliness tidak berpengaruh terhadap kepuasan pengguna (user satisfaction).

Стаття присвячена опису впровадження в освітній процес змішаного навчання у комунальному закладі вищої освіти «Луцький педагогічний коледж», яка реалізована засобами хмарної платформи – Google Workspace. Окреслено основні напрями використання даної технології у закладі, наведено приклади сервісів, програмного забезпечення, інтерактивних методів, описано методику їх використання в освітньому процесі. Відзначено переваги даної освітньої технології. Навчання стає більш відкритим, студенти мають можливості вчитися керувати своєю навчальною діяльністю. Змішане навчання дає можливість розвивати у студентів свідомість, самодисциплінованість, самостійність, творче та креативне мислення, сприяє підвищенню інформаційно-цифрової компетентності учасників освітнього процесу. Висвітлено суть, особливості організації та змісту змішаного навчання. Заклад освіти перейшов на використання сучасної освітньої платформи для організації такого навчання, яка сприятиме підвищенню якості підготовки студентів, розвитку самостійної творчої діяльності, стимулюватиме одержання додаткових знань та їх закріплення, що дає можливість готувати конкурентоздатних фахівців для ринку праці. У роботі використано методи наукового дослідження: теоретичні методи: вивчення, аналіз, систематизація, порівняння та узагальнення наукової літератури з проблеми дослідження, емпіричні методи: спостереження за педагогічним процесом; педагогічний експеримент; статистичні методи: математичне опрацювання отриманих даних, логічний підхід графічне моделювання. Авторські дослідження базуються на організації освітнього процесу Луцького педагогічного коледжу і є продовженням вивчення питання підготовки майбутніх педагогів засобами хмарних технологій.

This review aims to compare existing robot-assisted ankle rehabilitation techniques in terms of robot design. Included studies mainly consist of selected papers in two published reviews involving a variety of robot-assisted ankle rehabilitation techniques. A free search was also made in Google Scholar and Scopus by using keywords “ankle∗,” and “robot∗,” and (“rehabilitat∗” or “treat∗”). The search is limited to English-language articles published between January 1980 and September 2016. Results show that existing robot-assisted ankle rehabilitation techniques can be classified into wearable exoskeleton and platform-based devices. Platform-based devices are mostly developed for the treatment of a variety of ankle musculoskeletal and neurological injuries, while wearable ones focus more on ankle-related gait training. In terms of robot design, comparative analysis indicates that an ideal ankle rehabilitation robot should have aligned rotation center as the ankle joint, appropriate workspace, and actuation torque, no matter how many degrees of freedom (DOFs) it has. Single-DOF ankle robots are mostly developed for specific applications, while multi-DOF devices are more suitable for comprehensive ankle rehabilitation exercises. Other factors including posture adjustability and sensing functions should also be considered to promote related clinical applications. An ankle rehabilitation robot with reconfigurability to maximize its functions will be a new research point towards optimal design, especially on parallel mechanisms.

INIS (International Nuclear Information System) ist die weltweit größte Datenbank im Bereich der friedlichen Nutzung von Nuklearwissenschaften und wird von der IAEA (International Atomic Energy Agency) und ihren Mitgliedsstaaten betrieben. Das österreichische INIS-Zentrum befindet sich an der Zentralbibliothek für Physik und ist zuständig für die Auswahl und die Eingabe von relevanter, in Österreich publizierter Literatur. Mit über 3,3 Millionen bibliographischen Records ermöglicht die INIS Collection Zugriff auf eine einzigartige Sammlung von grauer Literatur im Bereich der Nuklearwissenschaften. Dazu gehören über 280.000 Volltext-Dokumente wie u.a. wissenschaftliche und technische Reports, Konferenzprotokolle und Patente, welche nicht auf herkömmlichem Wege zur Verfügung stehen. Dieser Beitrag beschäftigt sich im speziellen mit der INIS Collection Search, welche mithilfe des multilingualen INIS-Thesaurus ein äußerst präzises Suchergebnis ermöglicht. Der Thesaurus umfasst 30.000 Begriffe und ist in allen Amtssprachen der IAEA (Arabisch, Chinesisch, Englisch, Französisch, Russisch, Japanisch, Spanisch und Deutsch) erhältlich. Der Zugriff auf die INIS Collection, die INIS bibliographische Datenbank und auf die Volltext-Dokumente ist kostenlos über die INIS Website http://www.iaea.org/INIS möglich. INIS Collection Search wird von Google Search Appliance betrieben, wobei besonderer Wert auf die Benutzerfreundlichkeit des Suchsystems gelegt wurde. Die Sucheingabe kann dabei auf zwei grundlegende Sucharten erfolgen: Standard Search und Advanced Search. Für registrierte INIS-Benutzer ist der Zugriff auf ein umfassendes Informationsangebot der IAEA sowie auf ein eigenes »User profile« und einen »Workspace« gewährleistet, wo sich u.a. Suchergebnisse und Suchabfragen (Queries) speichern und verwalten lassen. Nach einerkurzen, allgemeinen Einführung über INIS und ICS werden ausgewählte Fallbeispiele zur Anwendung der ICS gezeigt. Abschließen werden noch neue Entwicklungen im Bereich der INIS Collection Search besprochen.

<p><strong>Abstract.</strong> Individual travel trajectories denote a series of places people visit along the time. These places (e.g., home, workspace, and park) reflect people’s corresponding activities (e.g., dwelling, work, and entertainment), which are discussed as semantic knowledge and could be implicit under raw data (Yan et al. 2013, Cai et al. 2016). Traditional survey data directly describe people’ activities at certain places, while costing tremendous labors and resources (Huang and Wong 2016). GPS data such as taxi logs record exact origin-destination pairs as well as people’s stay time along the way, from which semantics can be easily inferred combining with geographical context data (Yan et al. 2013). Research has been done to understand the activity sequences indicated by either individual or collective spatiotemporal (ST) travel trajectories using those dense data. Different models are proposed for trajectory mining and activity inference, including location categorization, frequent region detection, and so on (Njoo et al. 2015). A typical method for matching a location or region with a known activity type is to detect stay points and stay intervals of trajectories and to find geographical context of these stay occurrences (Furtado et al. 2013, Njoo et al. 2015, Beber et al. 2016, Beber et al. 2017).</p><p>However, limited progress has been made to mine semantics of trajectory data collected from social media platforms. Specifically, detection of stay points and their intervals could be inaccurate using online trajectories because of data sparsity. Huang et al. (2014) define the notion of activity zone to detect activity types from digital footprints. In this method, individual travel trajectories first are aggregated using spatial clustering method such as density-based spatial clustering of applications with noise (DBSCAN). Then produced clusters are classified based on a regional land use map and Google Places application programming interface (API). Such land use data are only published at specific places, such as the state cartography office’s website at University of Wisconsin-Madison. Researchers need to search for those data based on their study area. Moreover, while major land use maps can be searched for large areas such as the whole United States, detailed land use data for statewide or citywide areas are made in diverse standards, which adds extra work to classify activity zones consistently. Besides, Google Places API is a service that Google opened for developers and will return information about a place, given the place location (e.g., address or GPS coordinates), in the search request. However, API keys need to be generated before we can use these interfaces and each user can only make a limited number of free-charged requests every day (i.e., 1,000 requests per 24 hours period). In sum, previous methods to detect activity zone types using social media data are not sufficient and can hardly achieve effective data fusion. Comparing to the high cost of using officially published dataset, emerging Volunteered Geographic Information (VGI) data offer an alternative to infer the types of an individual’s activities performed in each zone (i.e., cluster).</p><p>Using geo-tagged tweets as an example, this research proposes a framework for mining social media data, detecting individual semantic travel trajectories, and individual representative daily travel trajectory paths by fusing with VGI data, specifically OpenStreetMap (OSM) datasets. First, inactive users and abnormal users (e.g., users representing a company with account being shared by many employees) are removed through data pre-processing (Step 1 in Figure 1). Next, a multi-scale spatial clustering method is developed to aggregate online trajectories captured through geo-tagged tweets of a group of users into collective spatial hot-spots (i.e., activity zones; Step 2). By integrating multiple OSM datasets the activity type (e.g., dwelling, service, transportation and work) of each collective zone then can be identified (Step 3). Each geo-tagged tweet of an individual, represented as a ST point, is then attached with a collective activity zone that either includes or overlaps a buffer zone of the ST point. Herein, the buffer zone is generated by using the point as the centroid and a predefined threshold as the radius. Given an individual’s ST points with semantics (i.e., activity type information) derived from the attached collective activity zone, a semantic activity clustering method is then developed to detect daily representative activity clusters of the individual (Step 4). Finally, individual representative daily semantic travel trajectory paths (i.e., semantic travel trajectory, defined as chronological travel activity sequences) are constructed between every two subsequent activity clusters (Step 5). Experiments with the historic geo-tagged tweets collected within Madison, Wisconsin reveal that: 1) The proposed method can detect most significant activity zones with accurate zone types identified (Figure 2); and 2) The semantic activity clustering method based on the derived activity zones can aggregate individual travel trajectories into activity clusters more efficiently comparing to DBSCAN and varying DBSCAN (VDBSCAN).</p>

The world is going through its fourth industrial revolution right now. Managing large workspaces in big Enterprises has been made easy with the advent of particular software categories popularly known as ERP short for Enterprise Resource Planner. With ERPs, management of data from all kinds of fields of work like finance, operations, sales, manufacturing, marketing, sales, pre-sales/post-sales, HR, etc are easy now. What’s even more enticing about it all is that all of this can now be stored on Cloud storage and can be acces-sed from pretty much any device. This makes it incredibly easy for business owners to manage their enterprise from anywhere in the world, anytime. Our project tries to demonstrate the impact of the ERP software ecosystem using a prototypeERP system built using Codeigniter Framework built on PHP, and a front-end based on boot-strap with a comprehensive My-sql database and a Google Cloud Infrastructure. Our Project will make use of some open-source repositories and build on it a working prototype that can manage the data of a fictitious company.

Purpose The purpose of this paper is to provide a novel methodology based on two-level protection for ensuring safety of the moving human who enters the robot’s workspace, which is significant for dealing with the problem of human security in a human-robot coexisting environment. Design/methodology/approach In this system, anyone who enters the robot’s working space is detected by using the Kinect and their skeletons are calculated by the interval Kalman filter in real time. The first-level protection is mainly based on the prediction of the human motion, which used Gaussian mixture model and Gaussian Mixture Regression. However, even in cases where the prediction of human motion is incorrect, the system can still safeguard the human by enlarging the initial bounding volume of the human as the second-level early warning areas. Finally, an artificial potential field with some additional avoidance strategies is used to plan a path for a robot manipulator. Findings Experimental studies on the GOOGOL GRB3016 robot show that the robot manipulator can accomplish the predetermined tasks by circumventing the human, and the human does not feel dangerous. Originality/value This study presented a new framework for ensuring human security in a human-robot coexisting environment, and thus can improve the reliability of human-robot cooperation.

The diploma thesis focuses on the assessment of the information system of a developing marketing agency and subsequent proposals for the improvement of its components. The theoretical part describes the importance of the information system in the company, its components and methods of distribution. The analytical part deals with strategic analysis of the company and its surroundings and a description of the current state of the company's information systems. The final part deals with changes proposed to improve the situation in the field of information systems and economic assessment of the changes proposed.