Topic Review
Technologies for Big Data
Big data is growing so fast that current storage technologies and analytical tools are gradually feeling their inefficiencies not only to store and manage the valuable data but also to take full advantages of the opportunities and business insights that enormous data can offer. Since 2014, the concept of a data lake is increasingly becoming a popular solution among information leaders and big data-driven companies to deal with the challenges that brought about by big data. However, due to lacking of enough established best practices or related theories, some practitioners are still being kept outside the gate to a less risky implementation of a data lake. Besides, practitioners can hardly find any references which are free of bias, such as academic researches or reports, and are hardly able to support them with the reality of building a data lake at preset from an independent perspective.  
  • 766
  • 06 Jun 2021
Topic Review
SDN-Based Fog Computing
Software-defined networks (SDN) is an evolution in networking field where the data plane is separated from the control plane and all the controlling and management tasks are deployed in a centralized controller. 
  • 659
  • 07 May 2021
Topic Review
Interpretive Structural Modeling (ISM) is a technique to establish the interrelationships between elements of interest in a specific domain through experts’ knowledge of the context of the elements. Every discipline is expanding its frontier and multiple disciplinary approaches have become essential to solve complex problems. This leads to the study of a large number of constructs of interests simultaneously. These constructs may have been identified in theory or practice. Warfield in the 1970’s developed a technique to establish an interrelationship model between variables known as interpretive structural modeling (ISM). The holistic picture of important constructs in the structured form derived from ISM technique helps the practitioners to solve the problem effectively. This technique is widely used due to its simplistic procedure and profound value addition in problem solving in different domains.
  • 422
  • 23 Aug 2021
Topic Review
Blockchain Technology: Research and Applied
Blockchain being a leading technology in the 21st century is revolutionizing each sector of life. Services are being provided and upgraded using its salient features and fruitful characteristics. Businesses are being enhanced by using this technology. Countries are shifting towards digital currencies i.e., an initial application of blockchain application. It omits the need of central authority by its distributed ledger functionality. This distributed ledger is achieved by using a consensus mechanism in blockchain. A consensus algorithm plays a core role in the implementation of blockchain. Any application implementing blockchain uses consensus algorithms to achieve its desired task.
  • 330
  • 09 Dec 2021
Topic Review
Tracking Methods for Autonomous Driving
Tracking: identifying traffic participants, i.e., cars, pedestrians, and obstacles from sequences of images, sensor data, or observations. It is assumed that some preprocessing of sensor data and/or input images has already been done. Trajectory prediction: anticipating the future trajectories and motion of other vehicles in order to facilitate navigating through various traffic conditions.
  • 249
  • 27 Mar 2021
Topic Review
Fourier Lightfield Microscope
Fourier lightfield microscopy (FLMic) is a technique aimed to capture and process 3D information of microscopic samples. Due to its optical design, FLMic has the inherent capacity of capturing a collection of orthographic perspectives of samples in a single shot. Consequently, FLMic is especially suited for capturing and processing 3D images of dynamic processes, being potentially addressed for real-time applications in both life and material sciences.
  • 228
  • 10 Mar 2022
Topic Review
Distributed Ledger Technology
"Distributed Ledger Technology (DLT) is a term used to represent a digital network of distributed models, consisting of blockchain-based ledgers, and collaborating on shared tasks and activities. Blockchain technology is a data structure, composed of “blocks”, that are cryptographically linked together in a chained sequence using cryptographic hashes, secured against manipulations. Due to wider functionality, DLT is a commonly used term for a computer-based system consisting of distributed ledger-based data structures, which can provide increased levels of trust, service availability, resiliency, and security of digital systems, as well as distributed storage, computation, and control."
  • 213
  • 27 Apr 2021
Topic Review
Android Malware Detection Using ML
This systematic review discussed ML-based Android malware detection techniques. It critically evaluated 106 carefully selected articles and highlighted their strengths and weaknesses as well as potential improvements. The ML-based methods for detecting source code vulnerabilities were also discussed, because it might be more difficult to add security after the app is deployed. Therefore, this paper aimed to enable researchers to acquire in-depth knowledge in the field and to identify potential future research and development directions.
  • 189
  • 19 Aug 2021
Topic Review
Responsive Traffic Signaling System Using Graph Theory/VDM-SL
The Responsive Traffic Signaling System Using Graph Theory and Vienna Development Method Specification Language (VDM-SL) is a robust traffic monitoring and signaling system that improves signal efficiency by providing a responsive scheme; appropriate routes; a mechanism for emergency vehicles and pedestrians in real-time using VDM-SL formal method and graph theory. A formal model is constructed by considering objects, such as wireless sensors and cameras that are used for collecting information. Graph theory is used to represent the network and find appropriate routes. Unified Modeling Language is used to design the system requirements. The graph-based framework is converted into a formal model by using VDM-SL. The model has been validated and analyzed using many facilities available in the VDM-SL toolbox. 
  • 179
  • 01 Nov 2021
Topic Review
Real-Time Information Processing and Visualization
The processing of information in real-time (through the processing of complex events) has become an essential task for the optimal functioning of manufacturing plants. Only in this way can artificial intelligence, data extraction, and even business intelligence techniques be applied, and the data produced daily be used in a beneficent way, enhancing automation processes and improving service delivery.
  • 171
  • 10 Jun 2021
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