scholarly journals Dampak Era Digital Terhadap Perpustakaan Sebagai Upaya Menarik Generasi Milenial

2019 ◽  
Vol 3 (2) ◽  
pp. 1
Author(s):  
Arienda Addis Prasetyo
Keyword(s):  
Big Data ◽  
Augmented Reality ◽  
Google Glass ◽  
Library Research

Revolusi Industri 4.0 membawa perubahan besar diaspek kehidupan, baik Pemerintah, pendidikan, industri, dan perusahaan. Perkembangan teknologi digital dan internet membuat pekerjaan manusia mudah dan cepat. Sehingga berdampak di perpustakaan sebagai penyedia informasi, lantas perpustakaan terus meningkatkan fitur layanan dengan penguatan pada integrasi dan konektivitas layanan perpustakaan virtual untuk generasi masa kini. Jenis penulisan artikel ini adalah kualitatif deskriptif dengan metode studi pustaka (library research). Dengan memperhatikan aspek pengembangan teknologi digital perpustakaan yang ramah lingkungan, seperti library makerspace, google glass, digitalisasi, big data, cloudcomputing dan augmented reality. Konsep pengembangan perpustakaan di era digital ini mencangkup tiga hal pengalaman pemustaka, koleksi didukung data, dan inovasi kolaboratif.

scholarly journals Personalized Augmented Reality Based Tourism System: Big Data and User Demographic Contexts

2021 ◽  
Vol 11 (13) ◽  
pp. 6047
Author(s):  
Soheil Rezaee ◽  
Abolghasem Sadeghi-Niaraki ◽  
Maryam Shakeri ◽  
Soo-Mi Choi
Keyword(s):  
Big Data ◽  
Augmented Reality ◽  
User Study ◽  
Spatial Information ◽  
Ease Of Use ◽  
Tourist Attraction ◽  
Gender And Education ◽  
Time Distance ◽  
Data Source ◽  
The Right

A lack of required data resources is one of the challenges of accepting the Augmented Reality (AR) to provide the right services to the users, whereas the amount of spatial information produced by people is increasing daily. This research aims to design a personalized AR that is based on a tourist system that retrieves the big data according to the users’ demographic contexts in order to enrich the AR data source in tourism. This research is conducted in two main steps. First, the type of the tourist attraction where the users interest is predicted according to the user demographic contexts, which include age, gender, and education level, by using a machine learning method. Second, the correct data for the user are extracted from the big data by considering time, distance, popularity, and the neighborhood of the tourist places, by using the VIKOR and SWAR decision making methods. By about 6%, the results show better performance of the decision tree by predicting the type of tourist attraction, when compared to the SVM method. In addition, the results of the user study of the system show the overall satisfaction of the participants in terms of the ease-of-use, which is about 55%, and in terms of the systems usefulness, about 56%.

The Library Big Data Research

2018 ◽  
pp. 892-905
Author(s):  
Shaochun Xu ◽  
Wencai Du ◽  
Chunning Wang ◽  
Dapeng Liu
Keyword(s):  
Big Data ◽  
Research Work ◽  
The Public ◽  
Research Institutes ◽  
Library Research ◽  
The People ◽  
Intellectual Assets ◽  
The Status ◽  
Visualization Tools ◽  
Stored Information

Libraries are widely used by government, universities, research institutes, and the public since they are storing and managing intellectual assets. The library information directly stored in libraries and about the people interaction with libraries can be transformed into accessible data which then will be used by researchers to help library better serve users. Librarians need to understand how to transform, analyze, and present data in order to facilitate such knowledge creation. For example, the challenges they face include how to make big datasets more useful, visible and accessible. Fortunately, with new and powerful analytics of big data, such as information visualization tools, researchers/users can look at data in new ways and mine it for information they intend to have. Moreover, interaction of users and stored information has been taken into librarian's consideration to improve library service quality. In this work, the authors discuss the characteristics of datasets in library and argue against a popular confusion that data involved in library research is not big enough, conduct a review for the research work on library big data and then summarize the applications and research directions in this field. The status of big data research in library in China is discussed. The challenges associated with it are also discussed and explored.

Pedagogical Innovative Research Endeavor: Visualization of Streamed Big Data through Augmented Reality

2019 ◽  
Author(s):  
Sarah North ◽  
Monisha Verma ◽  
Sean Saffan ◽  
Victor Orellana ◽  
Matthew Alyward ◽  
...  
Keyword(s):  
Big Data ◽  
Augmented Reality ◽  
Innovative Research ◽  
Research Endeavor

scholarly journals Head-Mounted Display Use in Surgery: A Systematic Review

2019 ◽  
Vol 27 (1) ◽  
pp. 88-100 ◽  
Author(s):  
Rafa Rahman ◽  
Matthew E. Wood ◽  
Long Qian ◽  
Carrie L. Price ◽  
Alex A. Johnson ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Image Guidance ◽  
English Language ◽  
Web Of Science ◽  
Cochrane Library ◽  
Google Glass ◽  
Surgical Specialty ◽  
The Real ◽  
Head Mounted Display ◽  
Real Environment

Purpose. We analyzed the literature to determine (1) the surgically relevant applications for which head-mounted display (HMD) use is reported; (2) the types of HMD most commonly reported; and (3) the surgical specialties in which HMD use is reported. Methods. The PubMed, Embase, Cochrane Library, and Web of Science databases were searched through August 27, 2017, for publications describing HMD use during surgically relevant applications. We identified 120 relevant English-language, non-opinion publications for inclusion. HMD types were categorized as “heads-up” (nontransparent HMD display and direct visualization of the real environment), “see-through” (visualization of the HMD display overlaid on the real environment), or “non–see-through” (visualization of only the nontransparent HMD display). Results. HMDs were used for image guidance and augmented reality (70 publications), data display (63 publications), communication (34 publications), and education/training (18 publications). See-through HMDs were described in 55 publications, heads-up HMDs in 41 publications, and non–see-through HMDs in 27 publications. Google Glass, a see-through HMD, was the most frequently used model, reported in 32 publications. The specialties with the highest frequency of published HMD use were urology (20 publications), neurosurgery (17 publications), and unspecified surgical specialty (20 publications). Conclusion. Image guidance and augmented reality were the most commonly reported applications for which HMDs were used. See-through HMDs were the most commonly reported type used in surgically relevant applications. Urology and neurosurgery were the specialties with greatest published HMD use.

Using augmented reality in urban context: Georeferenced system for business localization using Google Glass

2015 ◽  
Author(s):  
Leonardo Ferrer ◽  
Jesus Garcia-Mancilla ◽  
Victor M. Gonzalez ◽  
Santiago Bermudez ◽  
Pedro Bleier ◽  
...  
Keyword(s):  
Augmented Reality ◽  
Google Glass ◽  
Urban Context

scholarly journals Big Data, Internet of Things, Augmented Reality: technology convergence in visualization issues

2019 ◽  
pp. 432-444
Author(s):  
D A Smuseva ◽  
A Y Rolich ◽  
L S Voskov ◽  
I Y Malakhov
Keyword(s):  
Big Data ◽  
Augmented Reality ◽  
Internet Of Things ◽  
Data Visualization ◽  
Data Transfer ◽  
Base Station ◽  
Time Data ◽  
Experimental Stand ◽  
Big Data Visualization ◽  
Standby Mode

The paper reviews the current situation of the Augmented Reality and Internet of Things markets. The implementing possibilities of AR for Big Data visualization from IoT devices are considered in this paper. The review and the analysis of methods, tools, products and data system of the visualization are presented. The paper provides an overview of the programs and devices of Augmented Reality, and an overview of development environments. The paper presents the existing classifications of computerized data visualization tools and proposes new classification, which takes into account interactive visualization, the purpose of the tool, the type of software product, the availability of ready-made templates, and other characteristics. The article proposes the architecture of the system for collecting data from IoT endpoint devices based on the Heltec modules. Experiments based on the developed experimental stand were carried out with Heltec devices of both versions to determine the number of losses with increasing distance between the sending device and the receiving device. The results of measuring the power consumption of these devices are presented in two modes: in standby mode and when sending a message to the Heltec endpoint device and in standby mode and when receiving a message for the base station. These studies were conducted using various data transfer protocols (LoRa, Wi-Fi and Bluetooth). The paper presents the result of the development of a digital twin of a university building and the development of augmented reality software for receiving data from real-time data collection devices.

scholarly journals Analisis Strategi Pembinaan Sumber Daya Manusia Polri

2021 ◽  
Vol 6 (6) ◽  
pp. 2906
Author(s):  
Mohamad Rangga Afianto ◽  
Surya Dharma
Keyword(s):  
Big Data ◽  
Job Design ◽  
Soft Skill ◽  
Library Research

Pengembangan organisasi merupakan upaya jangka panjang dalam usaha melakukan penyempurnaan yang sistematis dan terencana dalam suatu organisasi. Penyempurnaan ini, dilakukan dalam lingkup upaya penyempurnaan kemampuan organisasi untuk memecahkan masalah-masalah yang dihadapi dan kemampuan organisasi untuk melakukan perubahan-perubahan yang berasal dari lingkungan eksternalnya. Penelitian ini bertujuan untuk mengetahui strategi pembinaan Sumber Daya Manusia (SDM) Polri. Metode penelitian ini menggunakan penelitian yuridis normatif dan dilakukan secara deskriptif analisis. Adapun jenis dan sumber data yang digunakan berupa data sekunder. Teknik yang dipakai dalam pengumpulan data ini diambil oleh peneliti dalam penelitian hukum ini adalah studi kepustakaan atau studi dokumen (Library Research). Pada teknis analisis data kualitatif yaitu prosedur penelitian yang menghasilkan data deskriptif berupa kata-kata tertulis atau lisan dari orang-orang dan perilaku yang dapat diamati. Hasil penelitian menunjukkan bahwa transformasi teknologi akan secara serius berdampak terhadap proses manajemen sumber daya manusia karena lingkungan organisasi yang berubah. Peningkatan kemampuan bagi anggota Polri menjadi hal yang perlu diprioritaskan, namun tidak hanya fokus kepada hard skill, tetapi juga pembentukan dan peningkatan soft skill yang mumpuni untuk menghadapi segala dinamika yang berkembang dimasa yang akan datang. Pengembangan big data, rekrutmen anggota Polri yang berkualitas, manajemen talenta Polri, manajemen kinerja, peningkatan kemampuan berbasis teknologi serta job design merupakan Strategi Polri yang tepat sasaran untuk menghadapi tantangan di era Revolusi Industri 4.0.

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