With the advent of the big data era, cloud data storage and retrieval have become popular for efficient data management in large companies and organizations, thus they can enjoy the on-demand high-quality cloud storage service. Meanwhile, for security reasons, those companies and organizations would like to verify the integrity of their data once storing it in the cloud. To address this issue, ...

Biology data is increasing exponentially from biological laboratories. It is a complicated problem for further processing the data. Processing computational data and data from biological laboratories manually may lead to potential errors in further analysis. In this paper, we proposed an efficient data-driven framework to inspect laboratory equipment and reduce impending failures. Our method ta...

In this paper, we demonstrate the concept of a distributed file system that supports file versioning, file sharing, and endless files based on sliding window approach. It uses a distributed storage substrate that provides immutable block allocations, and a metadata manager, that maps files to data blocks using metadata. While file versioning and read-write sharing are often understood as contra...

Wireless sensor networks provide an effective tool for acquiring sensor measurements across a large area. Devices in a sensor field can automatically configure themselves into a working network, ready to collect data. The challenge is to collect that data in a timely and power-efficient manner. In some environments, a data collection device (sink) may need to travel periodically through the fie...

Nowadays, data storage requirements from end-users are growing, demanding more capacity, more reliability and the capability to access information from anywhere. Cloud storage services meet this demand by providing transparent and reliable storage solutions. Most of these solutions are built on distributed infrastructures that rely on data redundancy to guarantee a 100% of data availability. Un...

In this study, various diagnostic tools were constructed and plasma factors measured to evaluate the intelligence of process equipment. We used an ICP (Inductively Coupled Plasma) reactor with a radio frequency (RF) power 13.56 MHz, 400 800 W, pressure 10 30 mTorr. Plasma parameters such as electron density (ne), temperature (Te), potential (Vp), floating (Vf) using several instruments (VI prob...

This paper studies the problem of resolving data inconsistency from multiple sources in managing related to power equipment for China’s state grid corporation. proposes automatically align inconsistent devices sources, i.e., same that have entries with different values each source, by HENGE, a HEtetrogeneous Network GEneration model. HENGE builds into heterogeneous graph, and captures complex p...

There are many factors that affect the productivity of mining equipment, one which is condition equipment when it used. Knowing machines on mandatory for supervisors in activities. In analyzing data large quantities requires a lot energy and time, so classification model needed can categorize based its performance. Data Mining process uses statistical, mathematical, artificial intelligence mach...

The Faculty of Engineering, Mulawarman University's equipment warehouse is divided into the office-stationery and damaged-goods warehouse. Office-stationery stores office stationery, spare parts, consumables. Meanwhile, for damaged goods various such as furniture, Personal Computer (PC) components, electronic goods, laboratory equipment. problem with that many items need to be better organized ...