Cloud computing, data mining, and big online data are discussed in this paper as hybridization possibilities. The method of analyzing and visualizing vast volumes of data is known as the visualization of data mining. The effect of computing conventions and algorithms on detailed storage and data communication requirements has been studied. When researching these approaches to data storage in big data, the data analytical viewpoint is often explored. These terminology and aspects have been used to address methodological development as well as problem statements. This will assist in the investigation of computational capacity as well as new knowledge in this area. The patterns of using big data were compared in about fifteen articles. In this paper, we research Big Data Mining Approaches in Cloud Systems and address cloud-compatible problems and computing techniques to promote Big Data Mining in Cloud Systems.

https://journal.qubahan.com/index.php/qaj/article/download/46/30

Comprehensive Survey of Big Data Mining Approaches in Cloud Systems

Cloud Computing facilitates business by storing an enormous amount of data in the cloud transmitted over the Internet with seamless access to the data and no hardware compatibility limitations. However, data during transmission is vulnerable to man in middle, known plain text, chosen cipher text, related key and pollution attack.Therefore,uploading data on a single cloud may increase the risk of damage to the confidential data. Existing literature study uncovered multiple cryptography techniques such as SA-EDS, Reliable Framework for Data Administration (RFDA), Encryption and Splitting Technique (EST) to secure data storage over multi-cloud.However, existing methods are vulnerable to numerous attacks. This article emphasis on data security issues over multi cloud and proposes a Proficient Security over Distributed Storage (PSDS) method.PSDS divides the data is into two categories; normal and sensitive, further more the sensitive data is further divided into two parts. Each part is encrypted and distributed over multi-cloud whereas the normal data is uploaded on a single cloud in encrypted form. At the decryption stage, sensitive data is merged from multi-cloud. The PSDS is tested against multiple attacks and it has been concluded that it is resistant to related key attack, pollution attack, chosen ciphertext attack, and known plain text attack. Furthermore, PSDS has less computational time as compared to the STTN and RFD encryption method.

/pdf/psds-proficient-security-over-distributed-storage-a-method-3zqpfkru5q.pdf

PSDS–Proficient Security Over Distributed Storage: A Method for Data Transmission in Cloud

In drone applications, the drone could send data using telemetry devices or radio frequency module which has a limited range. So, there is no interaction between user and drone after a certain range. In this study, a hierarchical tree topology based wireless drone network is designed and presented to overcome range challenge. Proposed network consist of three main parts; Control Center (CC), Master Drone (MD) and Slave Drones (SDs). The CC as a network manager communicates with just MD via telemetry devices. SDs are explorer drones for the search and rescue application. The data transfer between CC and SDs is provided by MD which is explorer like SDs. This paper clearly shows that the enhancement of the communication range is possible with such this approach. Also the designed drone networks are simulated using V-REP (Virtual Robot Experimentation Platform). According to the simulation results, the proposed drone network system operates quickly, and finds the target in 5 minutes, which classical system not find in 10 minutes. The proposed model clearly shows that an application using a drone is completed in a shorter time with the drone swarm well organized.

Design and Simulation of the Hierarchical Tree Topology Based Wireless Drone Networks

Population ageing becomes a perplexing conundrum with social and economic development. Many senior citizens are now empty nesters because the younger generation prefer to stay in metropolises for a better life. Therefore, living in a nursing home is a popular choice for the aged. This objective-oriented paper proposes a sustainable elderly healthcare system for nursing homes. The main work is the design and implementation of a new rapid and interactive assistance service. Based on cost-effective fingerprint indoor-positioning technology, the alert message that a person is at risk will be immediately sent to nearby people before professionals arrive. Warning messages are available when nearing marked areas (e.g., slippery floors). The parallel path-finding algorithm plays a significant role in finding nearby people and alerting people who approach specific areas. Furthermore, this system provides application programming interfaces to connect to health devices, such as smart bracelets, watches, and glasses. In general, the system is designed to ensure the safety of the elderly and improve management efficiency, which corresponds to present smart elderly care proposals from governments.

/pdf/a-sustainable-interactive-elderly-healthcare-system-for-2jh3ulyr.pdf

A Sustainable, Interactive Elderly Healthcare System for Nursing Homes: An Interdisciplinary Design

Development and maintenance of Web application is still a complex and error-prone process. We need integrated techniques and tool support for automated generation of Web systems and a ready prescription for easy maintenance. The MDA approach proposes an architecture taking into account the development and maintenance of large and complex software. In this paper, we apply MDA approach for generating PSM from UML design to MVC 2Web implementation. That is why we have developed two meta-models handling UML class diagrams and MVC 2 Web applications, then we have to set up transformation rules. These last are expressed in ATL language. To specify the transformation rules (especially CRUD methods) we used a UML profiles. To clearly illustrate the result generated by this transformation, we converted the XMI file generated in an EMF (Eclipse Modeling Framework) model.

MDA-based ATL transformation to generate MVC 2 web models

The scattering of atmospheric particles significantly alters images captured under hazy weather condition. Images appear distorted, blurry and low in contrast attenuation, which extensively affects computer vision systems. There has been development of several prior based methods to address this problem. However, these methods come at a high computational cost. We present a fast, single image dehazing method based on dark channel prior and Rayleigh scattering. Firstly, we present a simple but effective methodology for estimating the atmospheric light through the computation of average, minimum and maximum of the pixels in each of the three RGB colour channels. Then, using the theory of Rayleigh scattering, we model a scattering coefficient to estimate the initial transmission map. Also, a fast-guided filter is adopted to refine the initial transmission map due to inaccurate halo edges. Finally, we restore the haze-free image through the atmospheric scattering model. Extensive qualitative and computational experiments on hazy outdoor images demonstrate that the proposed method produces excellent results whiles achieving a faster processing time.

A Fast Single-Image Dehazing Algorithm Based on Dark Channel Prior and Rayleigh Scattering

Recently, cloud computing is an emerging technology along with big data. Both technologies come together. Due to the enormous size of data in big data, it is impossible to store them in local storage. Alternatively, even we want to store them locally, we have to spend much money to create bit data center. One way to save money is store big data in cloud storage service. Cloud storage service provides users space and security to store the file. However, relying on single cloud storage may cause trouble for the customer. CSP may stop its service anytime. It is too risky if data owner hosts his file only single CSP. Also, the CSP is the third party that user have to trust without verification. After deploying his file to CSP, the user does not know who access his file. Even CSP provides a security mechanism to prevent outsider attack. However, how user ensure that there is no insider attack to steal or corrupt the file. This research proposes the way to minimize the risk, ensure data privacy, also accessing control. The big data file is split into chunks and distributed to multiple cloud storage provider. Even there is insider attack; the attacker gets only part of the file. He cannot reconstruct the whole file. After splitting the file, metadata is generated. Metadata is a place to keep chunk information, includes, chunk locations, access path, username and password of data owner to connect each CSP. Asymmetric security concept is applied to this research. The metadata will be encrypted and transfer to the user who requests to access the file. The file accessing, monitoring, metadata transferring is functions of dew computing which is an intermediate server between the users and cloud service.

Asymmetric Secure Storage Scheme for Big Data on Multiple Cloud Providers

When dealing with the quality of software system there are many Complex issues and challenges established, Such complex issue appears due to uncleared, ambiguous, and non-compete of functional as well as non-functional requirements during the requirement gathering process. This MDA is well known and used by Object Management Group(OMG) which raises abstraction level. The work has been done on model-based development which is very helpful to reduce the efforts and time and also achieve pure and error-free code. This paper describes the use of Model Driven architecture in web application area, to reduce the web application system problem. The model-driven web engineering facilitates to develop the web application using models to explain web site in different detail level. The existing web developments strategy can be polished by using MDA process. This paper discusses the basic concepts and presents the software development strategy based on MDA. Our focus is on code generation by using models. We take the scenario of Multi-Level marketing in order to design the UML diagram of Multi-level marketing for code generation. We have successfully received our desired code by Using ANDROMDA source code generator supported by MDA.

Data transformation of UML diagram by using model driven architecture

Drone is not the only high-tech toy anymore. It has been using an onboard range of applications from civilian to military, including indoor and outdoor operations. Outdoor drone relies on GPS signal to locate its position. It is different from the indoor drone. In this paper, the indoor drone is a review in many aspects also it is current one of must interested topic for researchers who have the main area in autonomous robotic and aerial technology.

Parinya Suwansrikham

Papers

A Fast Single-Image Dehazing Algorithm Based on Dark Channel Prior and Rayleigh Scattering

Asymmetric Secure Storage Scheme for Big Data on Multiple Cloud Providers

Data transformation of UML diagram by using model driven architecture

Indoor vision based guidance system for autonomous drone and control application

Entropy information-based heterogeneous deep selective fused features using deep convolutional neural network for sketch recognition