Unbalanced Big Data-Compatible Cloud Storage Method Based on Redundancy Elimination Technology

In order to meet the requirements of users in terms of speed, capacity, storage efficiency, and security, with the goal of improving data redundancy and reducing data storage space, an unbalanced big data compatible cloud storage method based on redundancy elimination technology is proposed. A new big data acquisition platform is designed based on Hadoop and NoSQL technologies. Through this platform, efficient unbalanced data acquisition is realized. The collected data are classified and processed by classifier. The classified unbalanced big data are compressed by Huffman algorithm, and the data security is improved by data encryption. Based on the data processing results, the big data redundancy processing is carried out by using the data deduplication algorithm. The cloud platform is designed to store redundant data in the cloud. The results show that the method in this paper has high data deduplication rate and data deduplication speed rate and low data storage space and effectively reduces the burden of data storage.

Effect of Some Storage Methods on the Quality of Maize Grown in the Ashanti Mampong Municipality of Ghana

This study aims at finding an acceptable storage method for three varieties of Maize grown in the Ashanti Mampong Municipality of Ghana. Survey and standard laboratory protocols were carried out to gather the necessary data for the study. The background study revealed that 18%, 13%, 24%, 15%, 12%, 8% and 10% of farmers store their maize by heaping on the floor, storing in cribs, conventional jute sack, plastic drum, clay pot, triple-layer hermetic bag and polypropylene respectively. The findings also indicated that moisture loss was reduced in the plastic drum and triple-layer hermetic bag after the four months of storage. The proximate composition of the stored produce showed that maize preserved better in the triple layer hermetic bag. It is recommended that the triple-layer hermetic bag should be extensively used in storing maize as it has the ability to reduce moisture loss, and also preserving the nutritional and market value of the produce stored in it.

Expandable Substrate Module and Storage Network Compatible w/ BitBadges

(THIS IS THE MIRROR OF A GRANT PROPOSAL). We are working on creating a storage network module on substrate compatible w/ the BitBadges blockchain. This will allow for substrate to interact in a meaningful way with the BitBadges ecosystem, which follows an experimental PoCP or Proof of Computation proof.Other projects like Crust or Subspace are within the same realm of trying to create some form of storage network. The difference is how BitBadges goes about accomplishing this and what a substrate module as an integration will provide. BitBadges as a whole is working on offline-centric networks and integrating variations of distributing sharding algorithms. Their data is transmitted w/ CouchDB being an integral part of its core for node syncronization. BitBadges is also integrating w/ various third party networks viewed as either pegs or applications.We believe that the substrate ecosystem can provide another integration w/ our network and we might even be able to create something similar to what Crust is doing on their mainnet, but w/ BitBadges as the storage method or a mirrored peg for the data. Our team, which is currently just two people, are passionate and have years of blockchain development experience under our belts. We think Substrate can work great as one of our third party integrations or pegged chains.

Perceptual Feedback Mechanism Sensor Technology in e-Commerce IoT Application Research

With the development of sensor technology and the Internet of Things (IoT) technology, the trend of miniaturization of sensors has prompted the inclusion of more sensors in IoT, and the perceptual feedback mechanism among these sensors has become particularly important, thus promoting the development of multiple sensor data fusion technologies. This paper deeply analyzes and summarizes the characteristics of sensory data and the new problems faced by the processing of sensory data under the new trend of IoT, deeply studies the acquisition, storage, and query of sensory data from the sensors of IoT in e-commerce, and proposes a ubiquitous storage method for massive sensory data by combining the sensory feedback mechanism of sensors, which makes full use of the storage resources of IoT storage network elements and maximally meets the massive. In this paper, we propose a ubiquitous storage method for massive sensing data, which makes full use of the storage resources of IoT storage network elements to maximize the storage requirements of massive sensing data and achieve load-balanced data storage. In this paper, starting from the overall development of IoT in recent years, the weak link of intelligent information processing is reinforced based on the sensory feedback mechanism of sensor technology.

Intermetallic Compounds Synthesized by Mechanical Alloying for Solid-State Hydrogen Storage: A Review

Hydrogen energy is a very attractive option in dealing with the existing energy crisis. For the development of a hydrogen energy economy, hydrogen storage technology must be improved to over the storage limitations. Compared with traditional hydrogen storage technology, the prospect of hydrogen storage materials is broader. Among all types of hydrogen storage materials, solid hydrogen storage materials are most promising and have the most safety security. Solid hydrogen storage materials include high surface area physical adsorption materials and interstitial and non-interstitial hydrides. Among them, interstitial hydrides, also called intermetallic hydrides, are hydrides formed by transition metals or their alloys. The main alloy types are A2B, AB, AB2, AB3, A2B7, AB5, and BCC. A is a hydride that easily forms metal (such as Ti, V, Zr, and Y), while B is a non-hydride forming metal (such as Cr, Mn, and Fe). The development of intermetallic compounds as hydrogen storage materials is very attractive because their volumetric capacity is much higher (80–160 kgH2m−3) than the gaseous storage method and the liquid storage method in a cryogenic tank (40 and 71 kgH2m−3). Additionally, for hydrogen absorption and desorption reactions, the environmental requirements are lower than that of physical adsorption materials (ultra-low temperature) and the simplicity of the procedure is higher than that of non-interstitial hydrogen storage materials (multiple steps and a complex catalyst). In addition, there are abundant raw materials and diverse ingredients. For the synthesis and optimization of intermetallic compounds, in addition to traditional melting methods, mechanical alloying is a very important synthesis method, which has a unique synthesis mechanism and advantages. This review focuses on the application of mechanical alloying methods in the field of solid hydrogen storage materials.