Today Big Data, is any set of data that is larger than the capacity to be processed using traditional database tools to capture, share, transfer, store, manage and analyze within an acceptable time frame; from the point of view of service providers, Organizations need to deal with a large amount of data for the purpose of analysis. And IT department are facing tremendous challenge in protecting and analyzing these increased volumes of information. The reason organizations are collecting and storing more data than ever before is because their business depends on it. The type of information being created is no more traditional database-driven data referred to as structured data rather it is data that include documents, images, audio, video, and social media contents known as unstructured data or Big Data. Big Data Analytics is a way of extracting value from these huge volumes of information, and it drives new market opportunities and maximizes customer retention. Moreover, this paper focuses on discussing and understanding Big Data technologies and Analytics system with Hadoop distributed filesystem (HDFS). This can help predict future, obtain information, take proactive actions and make way for better strategic decision making.

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The open-source hardware development platform Arduino has been growing in recent years. Nowadays, the Arduino platform became one of the important parts in remote control and monitor of electrical devices. This paper aims to propose an application of digital image processing along with Arduino, which can be useful in car-parking place to be more secure. Arduino will detect the car and take a picture for its plat and send it to the system. Then, system applies digital image processing technique in the image. Different algorithms are incorporated in system such as segmentation, normalization, localization, orientation and optical character recognition (OCR) which analyze certain features in image and predicts car plate numbers. Afterwards the resulting data are compared against records in a stored database.

Augmented reality refers to the combination of computer-generated objects with real world environment. This technology is empowered by the evolution of hardware and software in the past decade. Virtual objects are placed through device screens in a user’s environment relying on the device camera and capability of graphics hardware. This advancement opens a wide horizon for application development in the field of entertainment, education, medical, etc. One of the main advantages of augmented reality (AR) is in the treatment of various phobias though exposure treatment. A phobia is characterized by irrational fear or reaction to a normal situation. Thus, gradually exposing patients to their phobias helps in reducing their uncontrolled reaction and aids in reducing their fear of their respective phobia. Herpetophobia is the extreme fear from aversion reptiles such as lizards. The lizard phobia is a common form of phobia amongst people. In this article, an application of lizard phobia exposure treatment is proposed to help patients. The proposed application relies on marker-based AR. This is implemented using Visible marker AR system (VMARS) and Invisible marker AR system (IMARS), comparing the results of both systems to a group a subject to identify the best approach for Herpetophobia treatment.

In the past decade, Augmented Reality (AR) has been applied in several professional practice areas, including but not limited to autism therapy. AR supplies virtual information to the visual perceptions of users, giving the user new tools to ensure that knowledge for many processes and in many environments are comprehended efficiently. Usually, AR applications depend on virtual reality headset (VR-box) to overlay virtual objects and text on the surrounding environment of the user.People with autism spectrum condition (ASC) especially children are often found lacking in social interaction, including facial expres-sion and understanding of other minds which make social communication more difficult for them. This paper aims to use AR system to assist children with (ASC) in better understanding facial expressions by overlaying suggested 3d objects over the physical environment. Results of AR treatment found higher engagement and more effective compare to a non-AR system.This paper utilizes Vuforia to create an AR environment for the treatment of children with ASC. Vuforia is a software development kit that provides AR capabilities to smartphone devices.