Recent Advances in Computer Science and Communications - Volume 15, Issue 1, 2022

Objective: In the recent multimedia technology, images play an integral role in communication. Here in this paper, we propose a new color image encryption method using FWT (Fractional Wavelet transform), double random phases and Arnold transform in the HSV color domain. Methods: Firstly, the image is changed into the HSV domain and encoding is done using the FWT which is the combination of the fractional Fourier Read More

A serious problem in Wireless Sensor Networks (WSNs) is to attain high energy efficiency as a battery is used for power generation that has limited stored energy. They can not be suitably replaced or recharged. The appearance of renewable energy harvesting techniques and their combination with sensor devices gives Energy Harvesting Wireless Sensor Networks (EHWSNs). IoT is now becoming part of our lives, comforting sim Read More

The Internet of Things (IoT) faces a variety of challenges and issues in administering security due to its heterogeneous nature and open communication medium. The fundamental security requirement of authentication is expected to secure the communication between the devices from anonymous access. In this article, we present a Distributed Time-Dependent Key Management (DTKM) technique for securing the c Read More

Introduction: This paper deals with research on the safety of houses that are vulnerable to door locking systems. Usually, doors are locked with keys whether computerized keys or manmade locks, but the key unlocking system is vulnerable as keys can be lost or stolen and might be duplicated. Methods: The proposed methodology works using the Morse code that is delivered to the person standing outside the door to get in. The Read More

Background: The biggest challenge in our technologically advanced society is the healthy being of aging individuals and differently-abled people in our society. The leading cause for significant injuries and early death in senior citizens and differently-abled people is due to falling off. The possibility to automatically detect falls has increased demand for such devices, and the high detection rate is achieved using the wearab Read More

Background: Segmentation of a baby brain, in particular, myelinated white matter is a very challenging and important task in medical image analysis, because of the ongoing process of myelination and structural differences present in magnetic resonance images of a baby. Most available algorithms for the segmentation of a baby brain are atlas-based segmentation, which may not be accurate because baby brain Magneti Read More

Background: Ensemble selection is one of the most researched topics for ensemble learning. Researchers have been attracted to selecting a subset of base classifiers that may perform more helpful than the whole ensemble system classifiers. Dynamic Ensemble Selection (DES) is one of the most effective techniques in classification problems. DES systems select the most appropriate classifiers from the candidate classifier po Read More

Background: With the increase in populations in urban areas, there is an increase in pollution also. Air pollution is one of the challenging environmental issues in smart cities. Objective: Real-time monitoring of air quality can help the administration to take appropriate decisions on time. Advancement in the Internet of Things based sensors has changed the way to monitor air quality. Methods: In this paper, we have Read More

Introduction: Extraction of distinguishing semantic level emotions posed in multilanguages over social media is an essential task in the field of sentiment analysis or opinion mining. The extraction of emotions expressed in Dravidian or local languages combining with multilanguages over social media has become an essential challenge in the field of big data sentiment analysis. Methods: In the proposed approach, an innov Read More

Aim: India, an agricultural country with more than 50% population, depends on agriculture as the main source of income. Increasing population, shrinking agricultural land and fragmentation may create severe challenges to food safety in India. Therefore, there is an intense need for the application of technological innovations in the agriculture sector to improve its growth. Objectives: The objective of the study is to design Read More

Introduction: Sign language is the only way to communicate for speech-impaired people. But this sign language is not known to normal people so this is a barrier in communication. This is the problem faced by people with speech impairments or disorder. In this paper, we have presented a system which captures hand gestures with a Kinect camera and classifies the hand gesture into its correct symbol. Methods: We used th Read More

Introduction: Optimal inventory levels are necessary for a firm to avoid shortage/ excess of an item. The shortage of an item leads to stock out conditions resulting in loss of profit. When items are correlated with each other, the stock out condition of one item may result in the nonpurchase of its associated items also which, in turn, further brings down the profit. In this paper, this loss in profit is used to modify the opportunit Read More

Purpose: The transformation happening globally, though referred to by different names and nomenclatures, the overall objective to inspire digitalization and smart practices by reducing human intervention and enhancing machine intelligence to take on the global manufacturing and production to another level of excellence is a proven fact now. However, earlier research has been found lacking in the strategic approa Read More

Aims: This article analyzes an inventory system for deteriorating items. The demand is a quadratic function of time and is dependent on time, price and advertisement. Shortages are allowed and partially backlogged. Background: Demand and pricing are the two most crucial factors in inventory policy for any business to be successful. In today’s era of competitive circumstances, any product is promoted through advertisement, Read More

Introduction: This paper introduces a novel and reliable approach for people with speech impairment to assist them in communicating effectively in real-time. A deep learning technique named as convolution neural network is used as its classifier. With the help of this algorithm, words are recognized from an input which is visual speech, disregarding the audible or acoustic property. Methods: This network extracts the featu Read More