Here we focus on preparing recoverable Dy doped CoFe 2 O 4 photocatalysts for the removal of malachite green pollutant (MGP) in natural Sunlight. XRD results demonstrate development spinel symmetry with no impurities phases. The FESEM analysis revealed spherical grains definite grain boundaries and agglomerated behavior. We found that our synthesized behaves as an excellent magnetic nanomaterial by observing saturation magnetization 77.79 emu g −1 . Out all photocatalysts, CoDy 0.03 Fe 1.97...

We present a novel method to update assets for telecommunication infrastructure using google street view (GSV) images. The problem is formulated as object recognition task, followed by use of triangulation estimate the coordinates from sensor plane coordinates, To this end, we have explored different state-of-the-art techniques both feature engineering and deep learning namely HOG descriptors with SVM, Deformable parts model (DPM), Deep (DL) faster RCNNs. While HOG+SVM has proved be robust...

Accurate diagnosis of sleep disorders, such as insomnia and apnea, is crucial for improving health well-being. Traditional diagnostic methods rely on expert analysis, which can be time-consuming prone to errors. This Project aims optimize machine learning approaches enhance disorder classification using the Sleep Health Lifestyle Dataset. Various preprocessing techniques, including feature selection data balancing, will used improve model performance. Multiple classifiers evaluated, with...

In recent years, application of the agile concept in manufacturing sector has been researched extensively to reduce varying effect customer demands. However, most research work is focused on shop floor different processes, while issues concerning control warehouse scheduling a supply chain have neglected so far. Realising this present an attempt made address aspect environment. To resolve problem paper, authors proposed new Fuzzy incorporated Artificial Immune System Algorithm (F-AIS). This...

Every Service nowadays has applications. If we want to order food but don't like talk someone, simply go for the web apps or mobile and ordered it is more convenient easy method. so basically, application provides a virtual platform where do lots of tasks from anywhere all around globe. Here make responsive college community that helps students, faculty, alumni interact on one platform. As objective this paper elaborate working functionality creation fronted part using React Js, backend by...

In this paper, we propose a two stage pedestrian detector. The first involves cascade of Aggregated Channel Features (ACF) to extract potential windows from an image. We further introduce thresholding technique on the ACF confidence scores that segregates candidate lying at extremes score distribution. with in between upper and lower bounds are passed Mixture Expert (MoE) CNNs for more refined classification second stage. Results show designed detector yields better than state-of-the-art...

Healthcare Internet of Things (HIoT) are collection heterogeneous sensor-based computing devices used for healthcare monitoring applications. Many research works being done to enhance the efficacy sector with reduced cost. These low power sensors limited capabilities and energy. So, aim this paper is discuss propose a congestion control routing protocol HIoT as emergency packets transmitted using IoT sensor nodes high throughput efficiency. The proposed algorithm divided in two main steps,...

We address the problem of power-constrained testing core based system chips. Built-in self-test methodology for individual cores is assumed, and sharing test resources (pattern generators signature registers) among permitted. consider a scenario where integrator dealing with "soft" or "firm cores" which final realization has not been frozen flexibility module selection rests integrator. argue that advantage can be taken this in coming up plan. Since scheduling sessions also affects power...

The human visual cortex is extremely adept at distinguishing between male and female faces, or performing "Gender Classification". While the subject of face detection recognition has received a lot focus, research into features cognitive processes that are useful for identifying gender have relatively little attention. Researchers attempted to extract hand crafted like wavelet coefficients, histograms etc. on basis which generate model classify faces. However, these models tend compress...

Container identification and recognition is still performed manually or in a semi-automatic fashion multiple ports globally. This results errors inefficiencies port operations. The problem of automatic container challenging as the ISO standard only prescribes pattern code does not specify other parameters such foreground background colors, font type size, orientation characters (horizontal vertical) so on. Additionally, corrugated surface body makes two dimensional projection text on three...

We address the problem of scheduling test sessions for core based systems-on-chip (SOC). assume built-in self-test methodology testing individual cores and permit sharing resources (pattern generators signature registers) among cores. Our objective is to minimize application time area overhead, treating total power dissipation as a constraint. A vast solution space exists scheduling. At one end spectrum an entirely sequential schedule which will consume least power, at other fully concurrent...

This study proposes a new method for the detection of Alzheimer's Disease (AD) using first-order statistical features in 3D brain Magnetic Resonance(MR) images. disease is neurodegenerative disorder that affects elderly people. progressive and early classification AD can majorly help controlling disease. Recent studies use voxel-based MR image feature extraction techniques along with machine learning algorithms this purpose. Grey white matter gets affected damaged due to so studying these...

Nowadays, more people are affected by various diseases such as blood pressure, heart failure, etc. The early prediction of tends to increase the survival patients allowing preventive action. A key element for this purpose is digitalization healthcare system through Internet Things (IoT) and cloud computing. Nevertheless, there major problems in with IoT due false predictions errors medical data, which results taking a longer time receive patient details not providing best outcome. Data...

Major issues in wireless sensor networks are performance enhancement and optimize QoS parameters. Paper proposes a novel Algorithm for optimum path routing with matrices. Most renowned Dijkstra's algorithm focuses on shortest but less efficient congested network. Afterwards, improved ant colony IPACR enhance coverage rate by finding alternate routing. Cluster-based ICACR introduced as simplified version outperform lifetime of network, not when Sink node is close to Source node. Enhanced...

In this paper a 2×2 single sided wrench shaped MIMO antenna has been proposed for UWB application. The covers frequency range from 4.2 to 9 GHz which most of the band. Y structure with rectangular slot is introduced in center ground. This used reduce mutual coupling. isolation greater than 16dB 5.2 and better 21 dB above achieved are suitable portable devices.

Alzheimer's Disease (AD) is a neuro degenerative disease that usually observed in elderly people which ultimately leads to the death of patient. As no proper treatment exists for this chronic disease, early detection and may reduce effects AD. In paper, method classification AD from Brain MR images using various image processing techniques, feature extraction techniques machine learning classifiers proposed. A algorithm modelled traditional k-Nearest Neighbour increase accuracy performance...

Handover usually deals with the mobility of end users in a mobile network to assure about ongoing session user. It is observed that frequent handover results call dropping due latency. In order overcome this issue, fuzzy based decision scheme for devices using predictive model proposed. First, an MFNN (Multi-layer Feed Forward Network) used determine next cell user along best hand off time. To obtain access network, multiple-attribute Access Network Selection Function (ANSF) used. The rule...