In today’s world, due to irregular climatic patterns and other environmental issues various pests will affect the crops. These issues may affect the soil nutrition too. Due to this deficiency in nutrition, several diseases may affect the crops. In large agricultural field farmers feel difficult to monitor the pest in every nook and corner. Before identifying the pests, it may spread over vast area

Semantic segmentation is a fundamental task in computer vision and image scenery detection. Many applications, such as urban planning, change detection, and environmental monitoring require accurate segmentation. Hence, most segmentation tasks are performed by humans. Currently, with the growth of deep convolutional neural network (DCNN), there are many works aimed to find the best network architecture

Self-healing, a prominent property of self-adaptiveness provides reliability, availability, maintainability, and survivability to a software system. These qualitative factors are very salient to modern distributed systems in which components and their collaboration often vary. Survivability of such systems can be best addressed from an architectural viewpoint. When it comes to maintainability and reliability

In order to contribute to the security of medical image, we present in this paper a blind and robust watermarking technique that allows the integration of the electronic patient’s record into a computerized tomography scan. In this approach, a discrete wavelet transform is applied to the image before the integration process, then, a topological reorganization of the coefficients of the LL sub-bands

Telecardiology is one of the emerging fields of telemedicine to improve the cardiac patient’s life quality. It uses the information and communication technologies to monitor the cardiac patients by healthcare professionals at distant. The telecardiology system demands for ubiquitous connection to assure promising services. Such a seamless service is provided by heterogeneous wireless technology. But

Disruptions can cause demand fluctuation, thus overcrowding at hospital wards, and can make the waiting list of patients longer. Bed management at hospitals is one of the solutions to deal with overcrowding. In addition, Resilience Engineering (RE) is an approach that can help organizations to bounce back to their desired performance state after a disruption. In this paper, the concept of RE has been

Broadcast encryption (BE) is a cryptographic primitive which sends encrypted message to the users securely. The BE scheme proposed by Naor, Naor, and Lotspiech (NNL) in 2001 is a popular BE scheme which uses a binary tree. The advanced access content system standard suggested to use it for digital right management in Blue-ray and DVD-discs. This paper puts forward an efficient broadcast encryption

Now-a-days, traffic congestion is one of the troubles in metro cities. It is mainly due to escalate in vehicle, population etc. Due to the raise in vehicle, the road is incapable of handling the traffic. Consequently it is very important to revamp the traffic management system. The advanced traffic management system intention is to ameliorate the safety and efficiency of the transportation system.

Images captured in underwater are degraded by the attenuation of light in water. The classification technique of underwater images based on various degradation has not been explored so far. The classification process is quite difficult due to the complex background of the underwater images. Generally multiple features are extracted to improve the classification accuracy. The significant feature selection

In this paper, two different adaptive strategies are presented for continuous time uncertain nonlinear systems with unknown disturbances and faults. In first strategy, a sliding mode control based adaptive neural observer approach is anticipated for estimation of unknown disturbances and faults by using the multi-layer perceptron, the weight parameters are updated by using the sliding mode online learning

Convolutional neural networks is one of the most popular method in recent times to solve the computer vision and image processing applications. CNN has become more intensive as its computation increases day by day and it needs more dedicated hardware for an effective implementation. In recent times, graphics processing unit (GPU) and field programmable gate arrays (FPGA) are finding its high probability

Recently, the wireless sensor networks (WSNs) found its extensive application in surveillance and target tracking. For these two WSN applications, connectivity and coverage play a major role most particularly for target tracking. A large number of available sensor nodes track targets, during which a massive redundant data gets generated, which may minimize the system performance. Most particularly

Bio-impedance is the manner in which a person’s body opposes the applied alternating current in a unique manner. Acquired bio-impedance data is being used for diagnosis of critical diseases condition of various systems in human body. Electrode placement on body surface to sense impedance signal for various systems is unique format for each system. This paper first part focus on design of electrical

Ever-increasing data in various fields like Bioinformatics field, which has led to the need to find a way to reduce the data dimensionality. Gene selection problem has a large number of genes (relevant, redundant or noise), which needs an effective method to help us in detecting diseases and cancer. In this problem, computational complexity is reduced by selecting a small number of genes, but it is

The rapid popularization of cloud computing and ultra-high-speed Internet has promoted the vigorous development of data sharing and collaborative office, especially in Big Data and AI. Aiming at protecting the security of users’ data, researchers developed PDP scheme to verify data. However, existing schemes all rely on semi-trusted Third Party Auditor (TPA) or group management to store verification

Cooperation among sensor nodes and the unreliability of acoustic channels are the significant challenges in underwater acoustic sensor networks (UASNs). In UASNs, the unreliability may results in high packet loss due to the high bit-error-rate and packets being dropped due to network congestion. High packet loss decreases the transmission rate in a network. An effective secure transmission mechanism

Epilepsy is a brain disorder related to alteration in the nervous system which affects around 65 million people among the world’s population. Few works are focused on prediction of seizure relied on deep learning approaches, but the capability of optimal design has no longer been absolutely exploited. This work is focused on the seizure prediction obtained from long-short time records using optimized

The main purpose of thermal insulation is to reduce the effect of weather conditions, which can reduce energy consumption and help preserve the natural environment. Due to increasing demand for thermal insulation in modern buildings, it is necessary to monitor the effects of weather condition on the efficiency of thermal insulation. To measure this effect, Internet of Things (IoT)-based sensor networks

This work presents and assesses the power of various volumetric, sentiment, and social network approaches to predict crucial decisions from online social media platforms. The views of individuals play a vital role in the discovery of some critical decisions. Social media has become a well-known platform for voicing the feelings of the general population around the globe for almost decades. Sentiment

Fifth generation wireless communication intends to provide extensive improvement in energy efficiency of long-term evolution-advanced network. This feature can be accomplished by incorporating spatial multiplexing which involves base station antenna in large number known as massive multiple input multiple output system. The potential constraint of this system is pilot contamination which introduces

Human adaptive mechatronics (HAM) device is operated using neuromuscular interface controller. The muscle activity is monitored with the help of electromyogram (EMG) signals. The change in signal strength due to the volunteering movement of body parts is detected by placing few electrodes on the skin surface. EMG signal is used as the control signal and it gives the movement coordination. The amplitude

The growing number of web services (WSs) and cloud services, which can meet the users’ functional and non-functional requirements, have inspired researchers to provide more effective approaches for ranking the available services, regarding different QoS factors and selecting the best of them. In this context, several service selection frameworks using the fuzzy multicriteria decision making (MCDM)

When a virtual object is inserted into an outdoor image, the recovery of scene illumination has a critical effect on the mix of virtual objects and actual reality. There are two main parts of the object in the outdoor scene: the sun and the sky. In order to represent the illumination conditions of these two natural illumination, this paper uses the Lalonde-Matthew outdoor illumination model to perform

Forecasting factory productivity is a critical task. However, it is not easy owing to the uncertainty of productivity. Existing methods often forecast productivity using a fuzzy number. However, the range of a fuzzy productivity forecast is wide owing to the consideration of extreme cases. In this study, a fuzzy collaborative forecasting approach is proposed to forecast factory productivity using a

In recent years, breast cancer is recognized as critical disease that needs to be detected at early stage. Breast cancer can be detected either by mammography or biopsy technique. Biopsy is cost effective procedure for breast cancer detection. Fine needle aspiration (FNA) digital image is pre-processed and extracted features from it used for classification. Based on the parameters of feature attributes

This paper introduces an intellectual image fusion technique which is much focused on Medical Image Integrated Possessions assisted Soft Computing Techniques (MIPSCT) with fuzzy sets. This dual image fusion design uses a fuzzy mid matrix method and a smooth adjustment process which helps to eliminate impulsive noise from extremely distorted images that is included in a smart image agent when fusing

Fire detection techniques have received considerable critical attention over the past ten years. Regardless of the progress in the area of fire detection, questions have been raised about the cost, complexity, consumed power from a large number of sensors to analyze sensors’ data. Debate continues about the best strategies for the management of consumed power and how to accelerate the processing of

Recommender system is a collection of information retrieval tools and techniques used for recommending items to users based on their choices. For improving recommendation accuracy, the use of extra information (e.g., social, trust, item tags, etc.) other than user-item rating data remains an active area of research since last one and half decade. In this paper, we propose a novel methodology for top-N

Many existing indoor localization systems use RSS as fingerprints, but RSS is a coarse-grained data, which not only fluctuates over time but also is not unique for a specific location due to rich multi-path effects and shadow fading in indoor environments. In order to further improve the localization accuracy, a robust and accurate indoor localization algorithm based on deep auto-encoder network combine

To reduce the cost of music creation, shorten the creation time, help composers create music more easily, and make the style of music works more easily accepted by more people, based on the principle of symmetry, network analysis and ANN (artificial neural network) algorithm are applied to design children's music creation system based on GA (genetic algorithm) and ANN. The system includes human–computer

Emotions form a major role in human life. As human interactions with online systems have increased drastically, emotion prediction from online text, which otherwise can be monotonous, would help to provide a better environment to the users. Identification of emotions from a normal text itself is very complicated while news text that does not explicitly convey emotions adds more intricacy to it. Data

With an exploding use of Mobiles, smartphones and IoT device, mobile edge computing (MEC) emerged as technological boon in computing paradigm. The device offloads the computationally intensive task as well as task relevant to storage to the MEC cloud server to meet the requirement of service delay, extend the battery lifespan of mobile, and resolve the problem of limited mobile device resources. With

The online customer reviews information available on the internet about any product consider as an essential information resource concerning customer’s interest and their knowledge of the product. It is inscribed in the form of natural language and is unstructured data. To reduce the significant information in the form of a summary is vital to the firms that work on business intelligence. It will help

Curability of diabetic retinopathy (DR) abnormalities highly rely on regular monitoring, early-stage diagnosis and timely treatment. Detection and analysis of variation in eye images can help the patient to take the early action before progression of the disease. Vision loss can be effectively prevented by automated diagnostic system that assist the ophthalmologists who otherwise practice manual lesion

Vitiligo is one of the most common skin diseases in the world. According to the World Health Organization (WHO), the number of people suffering from vitiligo is growing year by year and vitiligo becomes a worldwide problem. In order to helping doctors with vitiligo diagnosis, we propose a vitiligo artificial intelligence diagnosis system. It is able to generate vitiligo images in Wood Lamp with high

A study by which the opinions, emotions, evaluations, appraisals, and sentiments of people towards different entities is expressed in the form of a text is called Sentiment Analysis (SA). The primary task of a sentiment analysis which is based on the aspects is the extraction of various aspects of the entities and the determination of the sentiments that correspond to the terms of aspects which are

Internet of things (IoT) has become an integral part of today’s technological revolution, which enhances the people’s quality of life. The IoT paradigm makes the world smarter and is employed in numerous real-time applications ranging from healthcare to vehicular networks. Surveillance systems are yet another important application of IoT and this work presents an IoT based home monitoring system, which

Data security in centralized storage needs advancement in privacy standards because of all of the cloud. The data security in the cloud has been well provided by security industries like cloud network security, data center security, distributed security and soon, also their exist numerous techniques to preserve the privacy of cloud users. The earlier methods enforce user privacy by restricting the

Breast cancer has been identified as one of the major diseases that have led to the death of women in recent decades. Mammograms are extensively used by physicians to diagnose breast cancer. The selection of appropriate image enhancement, segmentation, feature extraction, feature selection and prediction algorithm plays an essential role in precise cancer diagnosis on mammograms and remains as a major

This investigation practices a grey wolf optimization algorithm to optimize the filter coefficients of the two-dimensional wavelet transform to increase the quality of the decompressed image with lossy compression. The reason for the decrease in image quality in wavelet-based compression is nothing more than a quantization error. Our approach reduces the effect of this quantization error by using an

Heat exchangers are expedients used to transfer of heat energy from one medium to other while preventing the two from mixing. Heat exchangers are hired in a selection of domestic, commercial, and industrial applications, such as air conditioning, power production, refrigeration, process industry, and manufacturing industry. A larger variation in the temperature affects property of non-Newtonian fluids

Social integration through communication with family and friends can fulfill human’s desires of being cherished and respected. Such communications are very important for the elderly people, especially for those who have retired. Online social communities can help with this and provide positive effect on elderly people. But the elderly are quite reluctant to work with new technologies and hence, researchers

To transmit information over the industrial network today, you need data in a secure way to make it a high security root. Routing security issues in the wireless web network have been well studied. The problem of security in routing in wireless mesh networks (WMN) has been well studied. There exist numerous techniques to resolve this issue but differ and suffer to achieve higher security performance

Healthcare systems are heterogeneous by nature, where each device is running on different architectures, platform and operating system. This heterogeneity affects the communication performance in-terms of delay and security threats. An optimized quantum key management technique has been proposed for the purpose of managing the keys with little overhead, which enhances the health care information security

Community detection in complex networks is an important multidisciplinary research area and is considered crucial for understanding the structure of complex networks. Unsupervised deep learning models (e.g. stack autoencoders) have been successfully proposed for the problem of community detection, which can extract network features and use them in splitting the network into communities. Despite their

A sedentary routine at work can cause various muscular, skeletal or visual diseases, however these can be prevented with what is known as active pauses. This article is intended to illustrate how software can help reduce the risk of occupational disease due to the sedentary lifestyle of an office job, for this purpose a web application was developed under the SCRUM methodology, which makes use of the

Brain cancer treatment mainly depends on the accurate detection of the tumor type, location, size and borders. Magnetic resonance images (MRI) can be used to analyze the properties of the desired region such as tissues and tumors with automated and semi-automated approaches. So, the extraction of MRI brain tumor image is a challenging task in medical image processing. The major problems associated

Due to technological advancement, cloud computing is an inevitable form of computing these days and is considered a boon to mid-scale industries. As the usage of cloud computing increases day-by-day, the service deployment improves every single day, which paves the way for security threats as well. Finding trustworthy service is a highly challenging problem, which may lead to time consumption or end

There are expansive applications in sea science, seaward investigation, safeguard insurance, acoustic observation, acoustic sensor systems with explicit acoustic sensors, submerged boats, submerged vessels and acoustic surface stations. There is extremely vital to make acoustic sensor organize application, an effective correspondence between all gadgets and segments. Inferable from the mind boggling

As the networking infrastructure is becoming complex, there is a parallel increase in the networking scenario to become more vulnerable to various types of sophisticated malicious attacks. This leads to the data and information loss. The most feasible way to reduce the vulnerable and malicious attacks is by evaluating trust of the interacting agents in a network. The primary objective of this paper

We present on-axis, aperture averaged scintillation, and bit error rate performance of Mathieu–Gauss beams (MGB). We model atmosphere utilizing random phase screen. Our investigations show that scintillation indexes of both odd and even modes of MGBs are less than Gauss beam. In the comparison of odd and even modes, odd modes draw the attention with its less scintillation index. In case of aperture

Due to the excessive demand of automated solutions, intelligent transportation is the currently popular research area. Internet of things (IoT) is a boon to the today’s world, as communication with almost all the things around is made possible. IoT based autonomous vehicle (AV) is the most researchable topic, which is being approached by technology giants such as Google, Hyundai, Uber and so on. Inspired

The problem of routing in Manet are analyzed and different techniques are described towards QoS development of Manet. However, the modern IoT devices have been considered for the support of routing. Engaging IoT devices in Manet routing is considered and how the trust of IoT devices can measured is focused. Number of techniques discussed earlier with secure routing with IoT devices in Manet. They suffer

Though cloud computing has grabbed the attention of several industrialists and educationalists, the only concern of cloud computing is the uncontrollable rise of cloud data centres. The improper utilization of cloud resources paves way for inefficiency and environmental hazard as well. Understanding the seriousness of this issue, several researchers contribute to promote green cloud computing through

Presently in most of the real world applications like video surveillance systems, human activities are captured and retained as multimodal information for authorized permitted actions. However the degree of accuracy in recognition of such actions greatly depends on many factors, including occlusion, illumination factor, cluttered environment, and so on. In this work we propose the correlation of temporal

An Adaptive Content based Closer Proximity Pixel Replacement algorithm for the removal of high density salt and pepper noise in images is proposed. The algorithm uses decision tree to identify and correct the pixels of the image is noisy or not. The algorithm finds Euclidean distance between the processed pixel and the number of non-noisy pixels inside the current processing kernel. The algorithm requires

Diabetes Mellitus affects adults and children, causing changes in lifestyle. The diabetic affected person count has increased drastically worldwide over the last few years; about 425 million people have diabetes. By 2030, it is predicted that diabetic disorder will be the seventh leading cause of human death. Diabetes mellitus is measured invasively. This method has limitations such as patient’s preparation

With the wide application of wireless sensor networks, network security has been a terrible problem when it provides many more services and applications. Rapid usage of internet and connectivity demands a network anomaly system combating cynical network attacks. Meanwhile, it is a common approach for acquiring, which can be used by network operators to carry out network management and configuration

Fractional Krawtchouk Transform is a generalization of the Krawtchouk transforms which has two fractional orders. By adjusting these fractional orders in the weighted two dimensional Krawtchouk polynomials, local image features can be located. This paper proposes a robust image watermarking method using FrKT with firefly and cuckoo search optimization algorithms. The frequency domain image is obtained

The human brain is the primary organ, and it is located in the centre of the nervous system in the human body. The abnormal cells in the brain are known as a brain tumor. The tumor in the brain does not spread to the other parts of the human body. Early diagnosis of brain tumor is required. In this work, an efficient technique is presented for magnetic resonance imaging (MRI) brain image classification