Recent Advances in Computer Science and Communications - Volume 14, Issue 3, 2021

Background: Generally, it is observed that there is not a single algorithm that classifies the task using Quality of Service (QoS) parameters requested by the task but instead focuses on classifying resources and balancing the task's using the availability of resources. In past literature, authors divided the load balancing solutions in three main parts workload estimation, decision making, task transferring. Workload estim Read More

Background: Owing to increased growth in satellite imagery, the development of an architecture that rapidly and efficiently identifies similar images has become crucial. Hadoop has become a de-facto platform for storing large amounts of data. Apache Spark and MapReduce have also become key frameworks for distributed processing of big data. Objective: This paper proposes a novel Distributed Content-Based Image Retrieval Read More

Background: Underwater Acoustic Sensor Networks (UWASNs) have been proposed for the hard oceanographic application where human efforts are not possible. In UWASNs localization is a challenging task due to unavailability of Global Positioning System (GPS), high propagation delay and the dynamic mobility of the sensor nodes due to ocean dynamics. Objective: To address the issues related to the localization of the sens Read More

Background: Underwater Acoustic Wireless Sensor Network supports a lot of civil and military applications. It has come out as an effective tool to explore the ocean area of the earth. Sensor deployed underwater can help to relate the events occurring underwater with the rest of the world. To achieve the goal, the information gained from the sensors needs to be tagged with their real-time locations. Objective: To study the effe Read More

Background: Clustering is one of the important techniques in Data Mining to group the related data. Clustering can be applied to numerical data as well as web objects such as URLs, websites, documents, keywords, etc. which is the building block for many recommender systems as well as prediction models. Objective: The objective of this research article is to develop an optimal clustering approach, which considers the se Read More

Background: Internet of Things (IoT) plays a vital role by connecting several heterogeneous devices seamlessly via the Internet through new services. Every second, the scale of IoT keeps on increasing in various sectors like smart home, smart city, health, smart transportation and so on. Therefore, IoT becomes the reason for the massive rise in the volume of data which is computationally difficult to work out on such a hu Read More

Background: The abundant use of personal vehicles has raised the challenge of parking the vehicle in crowded places such as shopping malls. To help the driver with efficient and troublefree parking, a smart and innovative parking assistance system is required. In addition to discussing the basics of smart parking, Internet of Things (IoT), Cloud computing, and Fog computing, this chapter proposes an IoT-based smart parkin Read More

Objective: This study focused on the application of wearable technology in the safety monitoring and early warning for subway construction workers. Methods: With the help of real-time video surveillance and RFID positioning which was applied in the construction has realized the real-time monitoring and early warning of on-site construction to a certain extent, but there are still some problems. Real-time video surveill Read More

Objective: Redundant and superfluous features or instances reduce the efficiency and efficacy of data mining algorithms. Hence, selecting relevant and significant features and instances is very important for a data mining process to be able to discern some meaning information. Dual selection deals with the problem of generating a small subset of non-redundant features as well as instances simultaneously from a large and noi Read More

Background: Chatbot has emerged as a significant resolution to the swiftly growing customer care demands in recent times. Chatbot has emerged as one of the biggest technological disruptions. In simple words, a software agent that facilitates interaction between computers and humans in natural language. It is a simulated, intellectual dialogue agent functional in a range of consumer engagement circumstances. It is the ea Read More

Background: At present, the gain of most ILC algorithms is fixed, and the convergence speed of the system depends on the learning law, which will lead to the complexity of the structure of the learning law, and variable gain can accelerate the convergence speed without changing the structure of the learning law as variable gains are introduced into ILC. Objective: In this paper, the D-type learning law is used. Firstly, the variable Read More

Objective: In order to solve the current traffic sign detection problem due to the interference of various complex factors, as it is difficult to effectively carry out the correct detection of traffic signs, a traffic sign detection algorithm based on the region of interest extraction and double filter is designed. Methods: First, in order to reduce environmental interference, the input image is preprocessed to enhance the main c Read More

Background: Image analysis plays a vital role in the biometric identification system. To achieve the effective outcome of any biometric identification system, the inputted biometric image taken should be of fine quality as it greatly impacts the decision. Image segmentation is a significant aspect of image analysis that must be carried out for enhancing the quality of an image. It efficiently differentiates the foreground and backgro Read More

Background: Clustering analysis plays a vital role in obtaining knowledgeable data from the huge amount of data sets in knowledge discovery. Most of the traditional clustering algorithms do not work well with high dimensional data. The objective of effective clustering is to obtain well connected, compact, and separated clusters. Density-Based Clustering (DBSCAN) is one of the popular clustering algorithms that use local density in Read More

Background: With the fast development of information, the information data is increasing in geometric multiples, and the speed of information transmission and storage space are required to be higher. Objective: In order to reduce the use of storage space and further improve the transmission efficiency of data, data need to be compressed. In the process of data compression, it is very important to ensure the lossl Read More

Background: The evolution of wireless network from wired network presents a worldwide pattern in the previous couple of decades. All the mobile nodes in MANET act as router as well as host at the same time send and receive messages directly to one another until they are in the communication range and use multiple hops if the nodes are outside the communication range. The self-organizing property of nodes in Read More

Intorduction: Resource Description Framework (RDF) is the de-facto standard language model for semantic data representation on semantic web. Designing an efficient management of RDF data with huge volume and efficient querying techniques are the primary research areas in semantic web. Methods: So far, several RDF management methods have been offered with data storage designs and query processing algorithms Read More

Background: The Wireless Sensor Network (WSN) is composed of autonomous nodes consist of sensors to collect the status of the surrounding environment. These nodes are equipped with limited batteries. One cannot recharge or replace the batteries of the nodes during the mission, as the applications of WSNs include in underwater, forest driven and mountain based. Objective: Thus available energy must be utilized eff Read More