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A capability of cloud-based IDS in identifying complicated and anonymous attacks is rising in the current era. However, unwanted delays hinder the detection rate. A malicious user might utilize vast quantities of computational power. The cloud provides to perform attacks both within and without the cloud. Furthermore, there are major challenges for intrusion detection due to the ease of the cloud and also the continual restructuring and movement of cloud resources. Intruder detection, feature extraction, and data processing are all included in the novel optimization-based Intrusion Detection System (IDS) paradigm that will be presented in this study. Data normalization is used to first pre-process the input data. Then, appropriate feature extraction is carried out, including the extraction of (a) raw features, (b) statistical features, then (c) higher-order statistical features using suggested kurtosis. The detection phase is then applied to the retrieved features. A two-stage ensemble method is suggested for finding intruders in clouds. Random forest (RF), Support Vector Machine (SVM), optimal Neural Network (NN), and RNN make up the suggested ensemble technique. The RF, SVM, and Optimized NN algorithms are directly fed the collected features. The output of these classifiers is then provided to the RNN classifier (i.e.), RF output to RNN1, SVM output to RNN2, and optimized NN output to RNN3. Then, the weighted average of RNN 1, 2, and 3 is considered as the final output. A Self Adaptive Salp Swarm Optimization optimizes the weights of NN for exact detection (SA-SSO). Finally, a test is conducted to confirm the developed model’s superiority.

Cloud computing is gaining a huge popularity for on-demand services on a pay-per-use basis. However, single data centre is restricted in offering the services, as it does not have unlimited resource capacity mostly in the peak demand time. Generally, the count of Virtual Machines (VM) is more in public cloud; still, the security is not ensured. In contrast, the VMs are limited in private cloud with high security. So, the consideration of security levels in task scheduling is remains to be more critical for secured processing. This works intends to afford the optimization strategies for optimal task scheduling with multi-objective constraints in cloud environment. Accordingly, the proposed optimal task allocation framework considers the objectives such as execution time, risk probability, and task priority. For this, a new hybrid optimization algorithm known as Clan Updated Seagull Optimization (CUSO) algorithm is introduced in this work, which is the conceptual blending of Elephant Herding Optimization (EHO) and Seagull Optimization Algorithm (SOA). Finally, the performance of proposed work is evaluated over other conventional models with respect to certain performance measures.

An electrical device that transforms the electricity into the waves of radio and vice versa is termed the antenna. Its main deployment is in the transmitter and receiver of the antenna. While transmission, the transmitter of radio at the extremities of the antenna furnishes the electricity which oscillates at the frequency of radio wave and energy is released as current as em waves. Some of the voltage is formed from the em wave that is invaded at the point of receiving to amplify the receiver. This study focuses on the analysis of the satellite system to aid in mobile antenna tracking. It also examines the techniques for fuzzy control which make up traditional networks that are used. Initially, a basic idea of tracking loops with stabilized antennas was suggested in light of the requirement for the margin of phase and bandwidth. If the gain of the track is reduced due to changes in attributes and throughput, it will be reduced. In addition, fuzzy regulators and PID constituents are used to enhance the loop. The results indicate that the higher and lower antenna tracking gains within the loop were the best fit and the loop's fluctuations are reduced. A controller based on fuzzy logic can be most efficient due to its simplicity and robustness. It is also discovered that fuzzy logic controllers are evaluated by their behavior in relation. This paper presents an evaluation of the controllers in fuzzy logic, which is based on its integration with conventional controllers. There are three gains in PID's regulator PID and every gain can be used to control the variables of inputs and outcomes. The effects of the responses were analyzed and were compared. The commonality was discovered in the results according to the increase in time for II/6 and II/3 based on PID's regulator PID stability, it can be improved by this system, and there is a reduction in the duration of stability. Furthermore, the period of stability may be reduced through the fusion of PID and fuzzy. The effectiveness of the system could be enhanced by the implementation of the neural network. It is also possible to design the two types of control that could be used to control the proposed solid platform.

Nowadays cloud environments are used by many business service sectors like healthcare, retail marketing, banking, and many business fields. At the same time, the usage of Internet of Things (IoT) devices in different sectors also increasing tremendously. So, there is a general problem for securing any business service in enterprise cloud environments restricting by only authorized devices. We are proposing cryptographic techniques with the help of a token-based framework by enabling a secure handshake between consuming applications and the source business service which aims to authorize the target end consumers of the respective business service. The proposed work aims to achieve the desired secure handshake so that any consuming application or device requests the desired business service with a secret token and an input combination. The source business service creates a secure token using any latest robust cryptographic algorithm on the above input combination and returns the token to the consuming application. The consuming application requests to the source business service, it must pass the above token which if validated then only would receive the required data. Hence, in this paper, we propose the delegation of the authorization task to the end consumers, who are responsible to fetch the security tokens and use them in their application lifecycle.

This paper expresses the concepts, methods, and applications of mathematical models in agriculture. We propose and analyze an ecosystem consisting of two types of preys and their predators; here the prey-I like sugarcane crops that take a long time to grow and prey-II like vegetables, which have a short life, are grown with sugarcane crops and predators that harm both prey-I and prey-II. The various equilibria of the system are obtained, and the stability conditions are analyzed. Furthermore, a comprehensive analysis of the optimal control strategy is also performed. The optimal control model includes the use of three control variables, such as pesticide application rate, biomass application rate, and control of Cassava mosaic virus in the system. Finally, we apply Pontryagin’s maximum principle to find the optimal control. Furthermore, analytical results are verified by numerical simulations.

Skin Cancer is a disturbing disease in modern life. This disease should be detected as early as possible to reduce the impact of the disease as the growth of Melanoma cancer is rapid and it’s treatment cost is so high. The death rate caused by the Melanoma cancer is also so high. As the detection of the cancer cells manually take long time which causes delay in the treatment. This paper is proposed to detect the effected cancer cells by utilizing image processing. After segmentation process the features are extracted. Here CNN is arranged to extract the features.

World Health Organization gave a report global road safety. Road accidents have turned to be more dangerous and they became the eighth most important reason for death. Out of this one fifth of them are caused due to the negligence of the driver. We discuss about the different types of algorithms which are more efficient based on the features that are detected by the algorithms. Comparison of algorithms is done to know the algorithms which work well for the specific set features detection. In driver distraction, there are many features like pupil diameter, hands location, head location etc., which are needed to be detected and predict the type of distraction. Each algorithm uses different kind of Artificial Intelligence models and does the predictions based on the features.

This study develops a mathematical model for describing the dynamics of the banana-nematodes and its pest detection method to help banana farmers. Two criteria: the mathematical model and the type of nematodes pest control system are discussed. The sensitivity analysis, local stability, global stability, and the dynamic behavior of the mathematical model are performed. Further, we also develop and discuss the optimal control mathematical model. This mathematical model represents various modes of management, including the initial release of infected predators as well as the destroying of nematodes. The theoretical results are shown and verified by numerical simulations.

In this article, we propose a mathematical model of an ecological model that is presented of prey, pest, and natural enemy of pest. Different equilibrium points are obtained, their existence and stability of the steady states are investigated. Further, a mathematical model is obtained in the presence of the control variable for designing optimal pest control problems and to study the effect on crop pest. An optimal control technique is one that minimizes the loss due to crop damage and causes minimum harm to the environment. Several chemicals, biological, physical control, and mechanisms are used. We apply Pontryagin’s maximum principle to find the existence, characterization, and necessary conditions of the optimal control. Numerical simulations are further verified to support analytical results and to illustrate a different system that can be observed in the model.

This article describes how health sensors, which measure health parameters, are miniaturized to fit the size of a mobile. They aim to integrate these sensors along with a mobile so as to provide data measurement to the vast population which use the mobile, and thus, create regional grid networks. The authors aim to use the mobile for updating health parameters as well as be the focal point of communication of the health information. As a result, the mobile would provide targeted distribution of the health information, which is advantageous compared to the traditional means of mass distribution of information. Also, a mobile acts as a focal point of gathering health related parameters, it provides a twofold advantage for setting up a low-cost region-specific health monitoring system.

This article aims to provide innovative system for tracking and monitoring health objects using RF transmitters and receivers. We begin by proposing a prototype for the system and perform a simulation to check the feasibility of this project before applying it to a real-world scenario. In this simulation model, we test the capability of the transmitter and receiver to communicate effectively and also display the data sent by the transmitter. As a result, highly flexible wireless controlled systems would enable the bridging of the distance between the user and the electronic device. This would provide an easier access to real world entities by just using mobile phones, without the need to be physically present near the object. Also, the addition ensures authenticated access to resources in view of security aspect. The workings of the system can be divided into two phases: phase one contains an RF transmitter and a receiver coupled with a central database; phase two contains a GSM modem with a unique SIM linked to the central data base via GSM network. In the first phase of the system, the RF transmitters are tagged to the objects of everyday use and have the capability to transmit signals and the paired receiver detects the transmission of the tagged object and stores its corresponding location in the central database. This is created specifically for information maintenance of the tagged objects, In the second phase of the system, a mobile phone is used to query the location of any tagged objects based on its availability in the vicinity, by sending a message to the SIM connected to a GSM modem. Object if present, the GSM modem fetches the location and other relevant information from the central database and encapsulates this information into a message which is sent back to the mobile device or phone that has requested the information.

For the first time the template containing structural features of more than one NSAIDs and the 1,2,3-triazole ring was explored for the identification of potential cytotoxic agents. These new and complex molecules were predicted to be effective inhibitors of PDE4B by molecular modelling studies in silico. The multi-step synthesis of these compounds were carried out starting from the well-known drug nimesulide and involved the use of copper-catalyzed azide-alkyne cycloaddition (CuAAC) approach as the key step. Mainly two types of compounds e.g. 1-aryl-1H-1,2,3-triazoles and N-aryl-2-(1H-1,2,3-triazol-1-yl)acetamide derivatives were synthesized by using this method in good yields. The in vitro screening of these compounds against two cancer cell lines e.g. HCT-15 (human colon cancer cell line) and NCI-H226 (human lung cancer cell line) using a colorimetric MTT assay allowed identification of two preliminary hit molecules i.e. 8a and 8f. The SAR (Structure Activity Relationship) analysis indicated that the presence of an amide linker between the aryl ring and the 1,2,3-triazole moiety was favorable for the activities. The compound 8a and 8f showed significant inhibition of PDE4B in vitro and good interactions with this protein in silico suggesting PDE4B as their potential target. The usefulness and concerns of these molecules in the light of computational ADME prediction were analyzed. Overall, novel molecules were identified as potential cytotoxic agents for further study.

With the significant development of the technology in the field of computer science, the concept of telemedicine is gaining popularity. Telemedicine enables the healthcare sector and its stakeholders such as doctors and nurses for monitoring patients. It enables to provide high-quality treatment irrespective of geographical conditions and remotely enabled. However, the key requirement for telemedicine is a well-equipped infrastructure for remote monitoring and analysis. Cloud computing with key features of scalability, dynamic provisioning, and service cloud models promises to be the infrastructure for such requirement. In this paper, a healthcare-based automation system using cloud has been proposed that collects the required health data for analysis.

Wireless sensor networks (WSNs) have become an integral part of healthcare monitoring applications and also using in a wide range of domains such as environmental monitoring, healthcare, asset monitoring modern warfare scenarios, industrial and production monitoring. A number of solutions have been proposed so far which provides assimilation of data on an hourly basis and the capability of sensors are approximated to almost ideal situation. With the exploration and advancement in the field of internet of things (IoT), the focal point has shifted towards the interoperability of WSNs and a cloud-based central data repository which collaborates and comprehends a uniquely identifiable internet like structure. This bottom up internet-like structure has paved the way for a sensor integrated cloud-based architecture REALSENSE. This paper provides a detailed run down on the REALSENSE architecture which integrates WSN with Internet of Things in a robust efficient approach. Using the REALSENSE architecture, a set of real-time applications can be deployed, some of them are illustrated in this paper.

Today, search engines play a vital role in accessing the online content. However, the data in the webpages are not clearly perceived by search engines. As a result, it provides a lot of irrelevant data with little desired information. In addition, it takes a lot of time in searching the appropriate result. By studying the online educational needs of Indian school children, we aim to retrieve appropriate educational information in less time through effective search. Schema.org [5] is a collection of markups which helps webmasters to mark up the webpages for retrieval of relevant information. But, properties related to education are not covered completely. Learning Resource Metadata Initiative (LRMI) [9] has created few properties for education and added in schema.org. We map our study with LRMI's work, and propose some new properties as an extension to the schema, which can be useful for students and teachers.