Conveying the workload of IoT systems from the cloud to edge nodes have been widely adopted by industrial and academic sectors. This tendency is generally promoted to meet the requirements of some time-sensitive use cases such as IoT healthcare applications. However, IoT devices at the edge network are likely to be resource-limited, as well as, they perform under an extremely heterogeneous environment

Security has been always a major concern in wireless network irrespective of evolving safety protocols, which motivates various researchers to explore an effective security solution. Existing encryption-based solution offers security but at the cost of resources which are sometime highly limited in communication devices. Therefore, this paper discusses about trust evaluation that is one of the critical

Mobile applications have garnered a lot of attention in the last years. The computational capabilities of mobile devices are the mainstay to develop completely new application types. The provision of augmented reality experiences on mobile devices paves one alley in this field. For example, in the automotive domain, augmented reality applications are used to experience, inter alia, the interior of

The target of flood hazard assessment is to establish appropriate casualty evaluation models for managing flood and alleviating loss affected by flood. Existing challenges on evaluating flood hazard level focus on how to achieve a stable and high-resolution result according to the incompatibilities between multiple attribute indicators. Base on the chaotic optimization theory, this study presents a

Billions of physical gadgets are by and by associated with the Internet molding the Internet of Things (IoT). These gadgets are making a more proportion of helpful or pointless data. The transmission and getting ready of this data is a trying errand. Diverse IoT applications and future research bearing are in like manner talked. One of the unquestionable application parts of IoT framework is in the

Internet of Things (IoT) has emerged prolifically in the recent years as they aid in lot of applications. In reference to the agriculture sector, automated technologies for the plant disease recognition have varying benefits, and at the same time has potential challenges. In this work, an automated plant disease detection model has been developed for the IoT environment. The proposed scheme places

Motivated by the recent explosion of interest around the Internet of Things (IoT), this paper is focused on the dynamics of its security. It is a fact that at present, there is a dearth of consolidated and methodical visions for assuring the security of IoT. This owes to its unique characteristics like interdependence of IoT devices and services, device heterogeneity, mobility, affinity to owners,

Software defined network (SDN) is a promising new network abstraction that aims to improve and facilitate network management. Due to its centralized architecture and the lack of intelligence on the data plane, SDN suffers from many security issues that slows down its deployment. Man in the Middle (MitM) attack is considered as one of the most devastating attacks in an SDN context. In fact, MitM attack

The clouds are the most common medium for aggregating, storing and analyzing data from the Internet of Things (MIoT) based medical therapy applications used by patients or pharmaceutical knowledge in the conventional health care monitoring network. Mobile Web infrastructure, remote communication, and networking can cause data and other delays. In addition, a slight delay in response to the analyzed

This paper presents a novel secure and privacy-preserving scheme for enhancing the security of transmitted data in an Internet of Things (IoT) environment. The proposed scheme combines a short group signature scheme with a signcryption method to represent an efficient short group signcryption (SGSC) technique with added security features. The proposed scheme supports aggregation and batch verification

Cancer is a sickness brought about by an uncontrolled division of eccentric cells in any part of human body. It is in the top of few places in the killer disease list and pervades in the entire world, but still on the rise. Most of the cases an early detection of lung cancer is cumbersome. This research paper is aimed to present an effective and an efficient way of computer-assisted detection method

The performance of service in cloud environment is a dominant factor which impacts the performance of the entire cloud system. However, the most organizations maintain their own private clouds to maintain their data and enable the access for the users of their own organization. There exist several load balancing and security protocols to access the services and maintain their data in the cloud environment

A smart factory network integrates various wireless networks to provide administrators with advanced factory network management capabilities and optimized services. Supporting smooth handoff management is an important issue in network architecture. Existing handoff management protocols are not sufficient to ensure handoff support in smart factories. This work was conducted to achieve the agility required

Examination timetable is a non-trivial task for administrators of the academic institutions repeated every semester. In terms of optimization, examination timetabling is a combinatorial optimization problem concerned with assigning a set of exams to a predefined number of timeslots and rooms with accordance to a given constraints. In this paper, the extended version of hill climbing algorithm called

Phishing is one of the most frequently occurring forms of cybercrime that Internet users face and represents a violation of cybersecurity principles. Phishing is a fraudulent attack that is performed over the Internet with the purpose of obtaining and using without authorization the sensitive information of Internet users, such as usernames, passwords, credit card details, and bank account information

The modern world uses digital data invariably and the advent of smart phones and cameras add to images and communicating through images in social media is a very common happening due to the exposure to internet and the economical availability of data. Moreover, people explore the web for much news and on different topics. They feel satisfied to look into image type info than textual information. So

In this paper, improved Joint Source Channel (JSC) decoding using turbo codes is employed that are unified into JPEG 2000 decoder architecture. Rather than using conventional decoding approach, the proposed system provides reduced BER and complexity. This work deliberates Soft Output Viterbi Algorithm (SOVA) for its real time implementation features. Nevertheless, the algorithm suffers from performance

In this work, an automated system is designed to identify and classify the modality of medical images. We considered six modalities in this work: X-ray (XR), computed tomography (CT), magnetic resonance imaging (MR), positron emission tomography (PET), ultrasound (US) and photographs (PX). The methodology is based on encoding scale invariant feature transform (SIFT) features using Bag of Visual Words

Thresholding is one of the highly accepted methods for image segmentation because of its simplicity in nature. The selection of optimal threshold values in threshold-based image segmentation is a tricky job. In this work, Kapur’s entropy is used to solve the optimal threshold selection problem and a multistage hybrid nature-inspired optimization algorithm is used to get the best possible parameters

The Flexible AC Transmission System (FACTS) devices are being commissioned in electrical power systems across the globe owing to the vast array of benefits they offer. The optimal performance of the FACTS devices can be harnessed only if they are installed at a strategic location. In this paper, the authors suggest the merit of multiobjective cuckoo search (MOCS) algorithm in mitigation of transmission

Micro calcification in mammograms may be considered early signs of breast cancer. However, their detection by a variety of factors is a very challenging task to find cancer in an instant starting stage. A breast compression, more difficult breast anatomy, and in some cases, inaccessible size calculations, as well as the significant variation of low contrast, inherent to mammograms. Therefore a computerized

Wireless Sensor Networks (WSNs)-based networking systems introduces to transfer from traditional industry to digital industry, commonly known as the fourth stage of industrialization (Industry 4.0). The WSN is an encouraging technology for many industrial applications because of their several potential benefits. However, they impose several challenges when using them for various monitoring and control

Wireless sensor network (WSN) is one of the significant flourishing areas of research, due to its controllability, accessibility and adaptability. WSN is deployed for better control and track of the industrial equipments, which paves way for the proposals of numerous real-time applications out of it. The primary goal of a WSN is to promote communication between the industrial sensor nodes, such that

A set \(S \) (of vertices) of a graph \(G\) is termed a dominating set of \(G\) if each vertex in \(V - S\) is adjacent to a node in \( S\). A dominating set \( S\) such as the subgraph induced by \(S\) has an isolated vertex is termed an isolate dominating set and also the minimum count of an isolate dominating set is termed the isolate domination number of \(G\) and it is represented by \(\gamma_{is}

The problem of routing with scheduling and lifetime maximization in WSN has been well studied. There are number of algorithms discussed earlier for the support of lifetime maximization and scheduling of nodes in WSN. However, they suffer to achieve higher performance in maximization of lifetime of sensor nodes. To improve the performance, an energy efficient momento based dynamic scheduling algorithm

In the cloud environment, network functions virtualization (NFV) means to diminish cost and disentangle tasks of such system benefits through the virtualization advancements. To authorize organize approaches in NFV-based cloud conditions, arrange administrations are made out of virtualized network functions (VNFs) that are anchored together as service function chains. This fills different needs—cloud

Recently, sports training sessions have been generated automatically according to the TRIMP load quantifier that can be calculated easily using data obtained from mobile devices worn by an athlete during the session. This paper focuses on generating a sport training session in cycling, and bases on data obtained from power-meters that, nowadays, present unavoidable tools for cyclists. In line with

An efficient sign language recognition (SLR) system would help speech and hearing-impaired people to communicate with normal people. This work aims to develop a SLR system for Indian sign language using data acquired from multichannel surface electromyogram, tri-axis accelerometers and tri-axis gyroscopes placed on both the forearms of signers. A novel ensemble-based transfer learning algorithm called Trbaggboost is

Using Sensor-based approach in activity recognition usually requires the deployment of many ambient sensors to objects and environments. Each sensor can be triggered by more than one activity, e.g., a touch sensor of a cooker can be triggered by cooking, doing dish and so on. An activity consists of some sensor events. When the number of same sensors are in the majority of two activities, the two activities

In this paper, we propose a design and simulation of improved diode assisted voltage fed three phase quasi z-source inverter for photovoltaic application. Variable shoot through time interval is generated by adding low frequency voltage with constant voltage and the control signal for variable shoot is generated using boost PWM control. The output quality of three phase QZSI is improved by replacing

With the fast pace in collating big data healthcare framework and accurate prediction in detection of lung cancer at early stages, machine learning gives the best of both worlds. In this paper, a streamlining of machine learning algorithms together with apache spark designs an architecture for effective classification of images and stages of lung cancer to the greatest extent. We experiment on a combination

Voltage stability primarily depends on the voltage magnitude, phase angle, real and reactive power constraint of the electric power system. Even during emergencies like contingency (outages), the stability of the electric power structure will be enhanced by improving the Loadability Limit (LL) of the transmission sector. Flexibility in the real and reactive power flow in the transmission system is

Data security has become a major concern of present time. Digital image watermarking is seen as a viable solution to ensure the integrity of image data. Watermarking algorithms can detect the presence of various attacks on images. In this work, a secure and efficient fragile image watermarking technique is proposed. The proposed watermarking algorithm aims to find image tampering and its location.

This study investigates a multi-period portfolio management problem under fuzzy settings. For the first time, the newly proposed semi-entropy in the literature is employed as an efficient downside risk measure for risk control in multi-period portfolio optimization. Fuzzy techniques for financial modeling show advantageous performance when future financial market conditions cannot be effectively detected

The occurrence of coverage-hole (CH) in a wireless sensor network degrades the performance of the network in terms of data transmission. Therefore, after the detection of CH, hole-patching is the next important task in order to reduce the energy consumption and to improve the network lifetime. In this paper, we propose an improved coverage-hole patching technique (CHPT) based on the concept of center

With the rapid development of urbanization in the world, it has brought enormous pressure on urban traffic management and control such as traffic congestion. An excellent urban traffic management and control system consists of three critical aspects: obtaining traffic parameters, developing traffic control scheme, and evaluating traffic control scheme. Intersection signal timing is one of the most

Due to the inherent flexibility of the material, the flexible manipulator is highly adaptable to the environment. Compared with rigid robots, it is characterized by better adaptability, better flexibility, and better human–computer interaction performance. Therefore, it has gradually become a field popularly studied in the world. In this paper, a multi-cavity flexible actuator is fabricated, which

The prosperity of cloud technology generates expanding numerous real-time applications runs online. Meantime, real time tasks scheduling is an important criteria for cloud service provider to manage its Quality of Service (QoS) because all customer’s wishes gratifying resource allotment in cloud. Cloud Service Provider (CSP) constitute service level agreement with the customers before the provision

Today, the automatic change detection and also classification as of the Synthetic Aperture Radar (SAR) images remain a hard process. In the existing research, the availability of Speckle Noise (SN), high time-consumption, and low accuracy are the chief issues. To resolve such issues, this paper proposed a novel SAR image change detection system utilizing a Radial Basis Function-based Deep Convolutional

Interacting processes are available in Industries. Control of such interacting processes is a challenging problem. Various control schemes like multiloop control, decentralised control with decoupler and centralised control are available for interacting processes. Multiloop decentralised control is the simplest among all the control because of its simplicity and easy adaptation. Decentralised control

The cloud computing environment provides computing assets in a pay-per-use way for IT service providers. Guaranteeing QoS amid job scheduling is a most noticeable need. This paper proposed an algorithm that expects to accomplish all-around adjusted load crosswise over virtual machines for minimizing makespan time. The proposed algorithm provides balanced scheduling solutions by employing the honey

Multi-Agent System (MAS) appears to be an efficient, low cost, flexible, and reliable form of system, these features turns the MAS as a perfect solution for resolving complicated jobs. Personalisation is defined as the process of addressing the learner-specific techniques and their intentions or ideologies for assisting and promoting the process of an individual’s learning success. The process of both

Delta Sigma Modulator (DSM-∆∑) is a high-precision information converter that examines the Signal to Noise Ratio (SNR) in Radio Frequency Transmitter (RFT). This paper proposes an advancement model alongside with ∆∑ model for the designing process. The predictable result is low Over Sampling Rate (OSR) DSM, which would benefit fast, high-multifaceted nature computations, primarily required for wireless

Cloud computing (CC) is an attractive emerging technology due to offering services based on-demand by the process of virtualization. Since CC platform offers services based on-demand it has been widely used in the field of various emerging IT infrastructure. In cloud platform each application is run in individual virtual machine (VM) for execution of services within the host. Since cloud platform operates

Biomedical electronic signals play an important role in clinical diagnosis. EEG as one kind of biomedical electronic signals has been widely used for an epilepsy diagnosis. EEG data are strongly characterized by the inner cluster style. The classic clustering-based detection techniques such as FCM, K-means, and AP cannot effectively partition the manifold data without considering the inner cluster

Besides accuracy, diversity of recommendation list is also important for users. Hence, the optimization of the recommendation system can be abstracted as a multi-objective problem because accuracy and diversity are contradictory goals. Available multi-objective optimization based recommendation schemes return the Pareto set for the target users. However, the scale of Pareto solutions is uncontrollable

The EMPATHIC project develops and validates new interaction paradigms for personalized virtual coaches (VC) to promote healthy and independent aging. To this end, the work presented in this paper is aimed to analyze the interaction between the EMPATHIC-VC and the users. One of the goals of the project is to ensure an end-user driven design, involving senior users from the beginning and during each

Asthma, a chronic lung disease which causes severe problem in breathing. The asthma cause due to lung airway constriction by triggers, such as allergic reactions to dust or pollen. The asthma never diagnose at early stage since symptoms such as coughing confuse with cold. The Asthma only diagnose when shortness of breath occur and it causes an examination by a physician. In this paper, we propose a

In current times, the intensity of Internet usage has been on a relentless rise, in pace with the release of numerous real-time applications like video transmission and non-real-time applications. Due to high error channels, the end-users will observe poor quality video over satellite network. The applications are competing themselves to inject their traffic into the network and hence end users get

The demand for high data rate, the generation of Internet of Things (IoT), and various Machine Type Communications (MTC) emerged for a new transmission phenomenon. In other words, it is substantial to communicate without synchronization, or synchronization overhead, with mixed signal types. such specifications cannot be covered by the Fourth Generation (4G) systems, which is based on Cyclic Prefix

A diesel generator can be used in joint with sustainable energy sources such as wind turbine, photovoltaic which develop an ideal option for autonomous power generation in islanded mode. However, the stochastic inherent of irradiation and wind speed as well as the variable load demand prevent these generation systems from being totally reliable without suitable energy storage system. However, considering

Social networks have become a major platform for people to disseminate information, which can include negative rumors. In recent years, rumors on social networks has caused grave problems and considerable damages. We attempted to create a method to verify information from numerous social media messages. We propose a general architecture that integrates machine learning and open data with a Chatbot

Recently, simulation models have been widely used around the world to evaluate the performance of different traffic facilities and management strategies for efficient and sustainable transportation systems. One of the keys factors for ensuring the reliability of the models in reflecting local conditions is the calibration and validation of microsimulation models. The majority of the existing calibration

With great changes in global climate and unusual and extreme weather in recent years, the geological disaster happens more frequently than ever before, so people attach more and more importance to the geo-disaster defending and decreasing for the social economic development especially after the great earthquake in Wenchuan, Sichuan province. As our nation’s great strategy informational source, Geo-hazard

Network security is an important part of the future information world. The degree of social informatization is maturing and network infrastructure is gradually improving, the network has become an indispensable part of human life. With the frequent occurrence of cyber security incidents around the world, cyber security research has become very important. The amount of network data is huge, and it is

In recent years, need of transmitting high quality video signal for industrial Internet of Things (IoT) is increased for monitoring and manufacturing process automation. In mid sea oil rigs, during oil exploration autonomous systems are used widely which requires better video transmission through Underwater Wireless Optical Connection (UWOC). The underwater optical links are affected due to various

One of the foremost decease causes in the world is the Liver Cancer. Using practical radiology the liver lesions can be determined with accurate dramatization, due to the hurt caused by wound or disease, those ranges of tissues are damaged the body are liver lesions Those anomalous tissues which are found in the liver are referred as liver lesions. These damaged regions having different intensities

In this paper, an essential system to identify the melanoma in skin at an early stage is proposed. Skin Cancer (SC) is one of the deadliest disease and its morality rates is very high. A SC classification model is designed based on the novel Color, Shape feature extraction and Classifier to detect the Melanoma which is known as CSC-Mel identification model. In preprocessing, feature and gradient adaptive

Accurate classification of electrocardiogram (ECG) signals is of significant importance for automatic diagnosis of heart diseases. In order to enable intelligent classification of arrhythmias with high accuracy, an accurate classification method based intelligent ECG classifier using the fast compression residual convolutional neural networks (FCResNet) is proposed. In the proposed method, the maximal

Publishing review comments of micro-blog hot topic is becoming the daily round in modern smart city. With the in-depth discussion about the micro-blog topic, it is a challenge for users to understand quickly the basic content of the topic due to its gradually complex inner relationship. To solve the problem, this paper presents the construction of micro-blog topic summarization. First, the keywords