scholarly journals Mogućnosti daljnjeg razvoja nacionalne informacijske infrastrukture u području zaštite na radu

Sigurnost ◽  
2021 ◽  
Vol 63 (4) ◽  
pp. 405-417
Author(s):  
Kristina Franović ◽  
Damir Kralj
Keyword(s):  
Data Collector

Predmet ovog rada je analiza mogućnosti daljnjeg oblikovanja nacionalne informacijske infrastrukture u području zaštite na radu. Temelji ove infrastrukture postavljeni su kroz početni razvoj informacijskog sustava zaštite na radu (IS ZNR) pod vodstvom Ministarstva rada, mirovinskog sustava, obitelji i socijalne politike. Analizom nacionalne zakonske regulative i EU smjernica u području zaštite na radu, mogućnosti primjene globalnih mrežnih usluga, uspješnih primjera razvoja nacionalnih informacijskih sustava u području javne uprave i zdravstva, stvoreni su temelji za spekulativni pristup analizi mogućnosti daljnjeg razvoja nacionalne informacijske infrastrukture u području zaštite na radu. Osmišljena je i prikazana ideja o predvidivom daljnjem razvoju i strukturi budućeg središnjeg nacionalnog informacijskog sustava zaštite na radu koji se oslanja na središnji registar podataka i resursa zaštite na radu (inicijalno nazvanom Data Collector) te na sve potrebne funkcionalnosti koje jamče sigurnost, sveprisutnost i longitudinalnost elektroničkih zapisa, a na temelju toga jamče i unapređenje zaštite na radu u Republici Hrvatskoj.

scholarly journals Towards Self-Awareness Privacy Protection for Internet of Things Data Collection

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Kok-Seng Wong ◽  
Myung Ho Kim
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Personal Data ◽  
Self Awareness ◽  
Privacy Concern ◽  
Goods And Services ◽  
Data Collector ◽  
Inaccurate Data ◽  
Secure Protocol ◽  
The Internet Of Things

The Internet of Things (IoT) is now an emerging global Internet-based information architecture used to facilitate the exchange of goods and services. IoT-related applications are aiming to bring technology to people anytime and anywhere, with any device. However, the use of IoT raises a privacy concern because data will be collected automatically from the network devices and objects which are embedded with IoT technologies. In the current applications, data collector is a dominant player who enforces the secure protocol that cannot be verified by the data owners. In view of this, some of the respondents might refuse to contribute their personal data or submit inaccurate data. In this paper, we study a self-awareness data collection protocol to raise the confidence of the respondents when submitting their personal data to the data collector. Our self-awareness protocol requires each respondent to help others in preserving his privacy. The communication (respondents and data collector) and collaboration (among respondents) in our solution will be performed automatically.

scholarly journals PENGEMBANGAN INTELLIGENT DATA COLLECTOR UNTUK ANALISIS BIG DATA ARTIKEL BERITA ONLINE

2018 ◽  
Vol 3 (1) ◽  
pp. 49-59
Author(s):  
Zul Indra ◽  
Liza Trisnawati
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Sentiment Analysis ◽  
Opinion Mining ◽  
Text Summarization ◽  
Data Collector

Big data  telah menjadi salah satu topik yg paling menarik dalam dunia teknologi informasi sekarang ini. Salah satu sumber big data yang tersedia dan bebas diakses adalah artikel berita online. Dalam sehari, sebuah situs berita populer bisa menghasilkan lebih dari 100 artikel berita baru. Bayangkan berapa banyak jumlah halaman berita yang tersedia untuk kita baca sekarang ini. Sementara itu, tahap awal untuk melakukan analisis big data terhadap artikel berita online adalah data storing dan preprocessing. Berdasarkan pemikiran tersebut maka perlu dikembangkan suatu aplikasi yang bisa mengumpulkan artikel berita online secara otomatis untuk kemudian di analisis lebih lanjut. Penelitian ini bermaksud mengembangkan suatu aplikasi yang diberi nama dengan intelligent data collector (IDC) yang memudahkan kita untuk mengumpulkan artikel berita online. Aplikasi IDC ini mengumpulkan artikel berita online kemudian melakukan preprocessing terhadap artikel-artikel tersebut dan menyimpannya dalam database lokal. Database ini kemudian bisa digunakan lebih lanjut untuk berrbagai macam data mining proses seperti opinion mining (sentiment analysis), topic classification, text summarization dan lain sebagainya.

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