Data Mining Techniques has attained its momentum in several areas, and its efficient performance in decision support has outperformed and made it a reliable choice. The medical world is one such empirical domain in which a perfect decision at right time would turn out to be a lifesaver. Medical data figures out to be majorly multi-dimensional, where relevant feature extraction is a challenging factor

Wearable wireless sensors play a vital role in healthcare applications to connect remote patients with the hospital. Generally, wearable devices are used for monitoring, diagnosing, and treating various medical conditions. In this paper authors propose a novel energy detection scheme for spectrum allotment to a medical telemetry network. By using medical body area networks, we can improve remote patient

Technology forecasting research is an indispensable means to master the development trend of technology and provide decision support for scientific research management. For patent documents, it does not provide keyword information, which makes the keyword based technology prediction method have some limitations in revealing research content and hidden topics in specific fields. In order to better reflect

The present study aims at identifying the brain response for auditory/visual stimuli in typically developing (TD) and children with autism through electroencephalography (EEG). Early diagnoses do help in customized training and progressing the children in regular stream. To reveal the underlying brain dynamics, non-linear analysis was employed. In the current study, Recurrent Quantification Analysis

Pipeline networks are the most efficient means for transporting large quantities of oil and gas through large distances. These pipelines cross different geographical terrains and are subjected to different manmade and natural hazards. Also these pipelines are prone to failures due to aging. Leakage in pipelines, particularly those carrying fuels is very dangerous as it leads to environmental pollution

Nanotechnology is a multidisciplinary science and its popularity is increasing day by day. Nanotechnology could be applied to processing of many materials. Textile is one of such applications. Textile products which are produced by nanotechnology are more functional and superior than other products. It can improve material finishing, product processing or yarn production. Some examples of Nanotechnology

Over the past decade presence of antibiotics in soil and water is a major environmental concern which needs to be address on a priority basis. The present study was done to evaluate the potential of basil (Ocimum basilicum) for phytoremediation. A greenhouse study was conducted for removal of tetracycline from soil. The plants were grown with 200 mgkg−1, 400 mgkg−1, and 600 mgkg−1 of tetracycline for

The characterization of the liquid produced from the co-cracking of Polypropylene extrusion grade (PPX) and Residual fuel oil (RFO) was carried out using analysis techniques like Gel Permeation chromatography (GPC), Ultimate analysis, Calorimetry analysis, Fourier-transform infrared spectroscopy (FTIR) analysis and Nuclear magnetic resonance (NMR) analysis technique. The resulting liquid from the co-cracking

This study has dealt with synthesis of doped strontium hexaferrite / zero-valent iron nanocomposite (SrFe12O19/nZVI) and adsorption of Congo Red (CR) dye by the nanocomposite from aqueous solution was evaluated. The adsorbent was characterized using Fourier transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD) analysis and Scanning Electron Microscopy (SEM). Optimization of experimental

There is a growing interest in implementing sustainable technologies within reach of the population to cover the need for the rational energy consumption of refrigeration systems. Therefore, this work shows the design and simulation of a cooling chamber, which will be part of a vapor-compression solar cooling system, useful for the agro-industrial sector to conserve perishable products directly at

In this study, using the whale optimization algorithm (WOA), one of the recent optimization algorithms inspired by nature, the plastic injection process parameters of an automotive sub-industry company were tried to be optimized. For this purpose, we tried to provide the maximum weight criterion for the “356 MCA Plastic Housing” (which is an automotive lighting part) produced by plastic injection method

The transport of multiphase flows of slurry (fluid-solid) through pipelines is usually encountered through several hurdles in various industries such as cement, textile and chemical industries. The flow parameters such as solids concentration, pipe directions and so on, add to these complexities and concepts associated with transport of slurries seems to be uncertain which has resulted in significant

Fifty sesame accessions with 10 simple sequence repeat (SSR) markers were used for their molecular characterization and assessment of genetic diversity. It was observed through this study that the accessions have enough genetic variability at molecular levels. Thirty five alleles with mean polymorphism information content of 0.42 resulted from the molecular studies very explicitly indicate the superiority

Fractional Order controllers have been extensively applied to various fields of science and engineering, since several decades, because of the ability to control more parameters and consequent better control. However, to achieve this advantage, proper tuning of the associated parameters plays an important role. To achieve this objective, this paper employs a multi-agent symbiotic organisms search (MASOS)

Skin melanoma cancer, particularly among non-Hispanic white women and men, has been one of the highest risks of spreading disease among all cancers. It should be treated earlier for effective treatment. Due to high costs of screening each patient by dermatologists, it is important to establish an automated method to determine the risk of melanoma for a patient by using image scan of their skin lesions

In this paper, optimization of the linear array (LA) antenna is performed using modified social group optimization algorithm (SGOA). First step of the work involves in transforming the electromagnetic engineering problem to an optimization problem which is completely described in terms of objectives. Linear array synthesis is inherently considered as a multi-attribute problem. The pattern synthesis

Now a day decision making plays a major role in deciding the execution of any task. Two key tools are available to serve the purpose of decision-making. These include AHP as well as TOPSIS, both falls under Multi Criteria Decision Making (MCDM) tools. These techniques are now also brought in the field of civil engineering. MCDM techniques are used in various applications of civil engineering. This

Time Commerce tends to struggle, which necessities an improved time framework.Legal escalations for conflicts of time commerce in the digital economy demand a solution that helps to address technology, standards, and policies. To meet the demand, we have to build a system that can understand every domain essential for building an inter-organizational system. "Date" and "Timestamp" reflect the root

India is emerging as a major knowledge producer of the world in terms of proportionate share of global research output and the overall research productivity rank. Many recent reports, both of commissioned studies from Government of India as well as independent international agencies, show India at different ranks of global research productivity (variations as large as from 3rd to 9th place). The paper

The aim of present study is to enhance the stability of physico-chemical characteristics of neem kernel aqueous extract by botanical stabilizer system. There are variety of bioactive constituents are present in neem which give broad-spectrum of insecticidal activity. Neem aqueous extract is commonly used and found very effective in pest control applications without harming the environment. However

The iron tailings were mixed in various proportions with different combinations of cement, sand, and sodium silicate to obtain or value-added product out of iron tailing waste which is suitable for use in the construction industry. Bricks were made using a variety of compositions of iron tailings, Ordinary Portland Cement, sodium silicate, and sand in cuboid mould (9″X 5″X 3″). The bricks were dried

In split radix architecture, large sizes Fast Fourier Transforms (FFT) are decomposed into small independent computations to reduce storage burden. Radix-2, 8-point is one the popular choice in split radix for small independent computation. Authors proposes the FFT processor architecture for this small independent computation i.e. radix-2, 8-point FFT. This paper brief architecture comprising Butterfly

Energy detection approach for sensing of spectrum is an extremely effective method of detection in comparison of other spectrum sensing methods when secondary user lacks adequate knowledge of primary user's channel conditions. Because of multipath propagation and shadowing effects, performance of energy detector employed in a cognitive radio system is severely influenced. In this paper, we have evaluated

Industry 4.0 applications involve more number of sensors or Internet of Things (IoT) devices to support automation in the industry. It involves more number of computations to analyze the sensor data collected from several critical parts of the processing units. Sparse signal processing is one which has numerous applications in area of communication and signal processing. This paper presents a novel

The growing usage of Semantic Web has resulted in an increasing number, size and heterogeneity of ontologies on the web. Therefore, the necessity of ontology matching techniques, which could solve these issues, is highly required. Due to high computational requirements, scalability is always a major concern in ontology matching system. In this work, a partition-based ontology matching system is proposed

Activated charcoal was prepared from pine tree sawdust by chemical activation by means of phosphoric acid (PSDP) that was used for Humic acid bio sorption from aqueous medium. The influence of humic acid initial concentration, sorbent mass, and solution temperature on sorption process was investigated. Langmuir and Freundlich isotherm models were used to analyze the equilibrium sorption data. The maximum

The model for predicting students’ success in acquiring programming knowledge and skills is presented in this paper. In order to collect the data needed for development of the model, 159 undergraduate IT students from Faculty of Technical Sciences in Čačak were analyzed. Besides the score on programming knowledge test, the following data were also gathered for each student: high school, the subject

The approach to optimize the data replication in public cloud storage when targeting the multiple instances is one of the challenging issues to process the text data. The amount of digital data has been increasing exponentially. There is a need to reduce the amount of storage space by storing the data efficiently. In cloud storage environment, the data replication provides high availability with fault

The paper presents a novel framework based on prioritized event detection for Underwater Wireless Sensor Network (UWSN). The proposed approach named Event Driven Energy Balanced Routing (EDEBR) takes the routing decision based on oceanic environment parameters (temperature, density, salinity and pressure). The approach of EDEBR considers two routing phase based on annotated parameters of Critical and

The production and distribution of COVID-19 testing kits is an urgent and increasingly worldwide requirement, due to the ongoing pandemic. The accuracy of the kit is critically important and to save the world from the faulty kit becomes an issue. The kit before use has to be approved by an authorized medical research agency like US-FDA, ICMR, etc. In this paper, we proposed a framework that ensures

The work presented in this paper refers to synthesis of elliptical antenna array for a desired radiation pattern in which the SLL is optimized using evolutionary computation algorithms like Accelerated Particle Swarm Optimization (APSO), Flower Pollination (FPA) and Antlion Optimization (ALO) algorithms. The amplitude-position technique of synthesis is used in which both amplitude and angular positions

Due to looming demand for fossil fuels and environmental concerns over global warming, extensive attention has been given on the development of renewable energy. Biomass materials are used since millennia for meeting myriad human needs including energy and chemicals. In this study, co-pyrolysis characteristics of woody and grass type agricultural wastes, namely Borassus flabellifer and Cymbopogon flexuosus

Recommendation systems are refining mechanism to envisage the ratings for items and users, to recommend likes mainly from the big data. Our proposed recommendation system gives a mechanism to users to classify with the same interest. This recommender system becomes core to recommend the e-commerce and various websites applications based on similar likes. This central idea of our work is to develop

Wireless sensor networks (WSN) prove to be an enabling technology for Industry 4.0 for their ability to perform in autonomous manner even in regions of extreme conditions. Autonomy brings in independent decision making and exerting controls without manual intervention and frequent maintenance. This paper aims to inculcate intelligence to the WSN exploiting the merits of Artificial Intelligence (AI)

The main purpose of this study was to prepare a delicious value added product from the osmo-dried eureka lemon peel flakes which otherwise is a wastage material. The peels of eureka lemon were used to prepare flakes. Plain water was used for washing of flakes, thereafter after washing these were blanched for five minutes and dipped in sugar and jaggery syrup concentrations as per the treatment combinations

This paper collectively report work of many researchers on engine operation and emissions of diesel engine with alumina nanoadditive in diesel blends. Fuel blending is a very common and popular practice as compared to making changes in engine design or treating the exhaust gases for hazardous emissions. Alumina nanoadditive related findings are encapsulated here to review the pros and cons of various

Imbalanced nutrition, besides shortage of feed is one of the major factors responsible for low livestock productivity in conventional feeding. But, as time elapsed, there has been gradual shift from traditional pattern to compounded cattle feed (CCF), either in mash or pellet forms. The pellet form is the most preferred form of CCF among other due to its various advantages. In India, compound feeds

This study presents a heuristic formulation of the flow shop scheduling problem by the hybrid algorithm fitness function. The genetic algorithm is used to model the time-estimates such as makespan and completion time. This paper aims to optimize the sequence-independent and sequence-dependent time-estimates. The production scheduling parameters such as permutation, non-permutation, no-wait, tardiness

Finite element methods allow us to better understand the complex plastic deformation behaviour of a sheet metal component during forming. The purpose of the present work is to optimise the current 1535 × 1600 × 1.2 mm blank sheet of a commercial vehicle engine tunnel bottom using finite element simulation without violating safety and efficiency. The goal of this communication is to look at methods

Phase change in dewaxing of crude oil is controlled at a certain temperature where solids are dissolved in the fluid producing hazy appearance called cloud point formed by the processes of precipitation. Ultrasound techniques was applied in Indian crude oil to confirm an optimum blended chemical which changes the thermo dynamical equilibrium  with a suitable operating environment capable to decrease

Tracking is an interesting area of research. It has to meet several challenges in real-time. There is a more noteworthy possibility of missing the objective. Again, the target may be single or multiple. Each one is having its speed. The biggest obstacle is when the target meets the shadow of some object or itself, the intensity of the target changes severely. This results in missing the target. In

In this paper, authors have proposed a posterior multi-objective optimization algorithm named Non-dominated Sorting Social Group Optimization (NSSGO) for multi-objective optimization. ‘Non-dominated Sorting’ is the technique of sorting the population into several non-domination levels and ‘Crowding Distance’ is a concept used for maintaining diversity among the current best solutions. The algorithm

During the last two decades, India has emerged as a major knowledge producer in the world, however different reports put it at different ranks, varying from 3rd to 9th places. The recent commissioned study reports of Department of Science and Technology (DST) done by Elsevier and Clarivate Analytics, rank India at 5th and 9th places, respectively. On the other hand, an independent report by National

Corona virus disease (COVID-19) became pandemic for the world in the year 2020 and large numbers of people are infected worldwide due to the rapid widespread of this infectious virus. Pathological laboratory testing of a large number of suspects becomes challenging and producing false-negative results. Therefore, this paper aims to develop a deep learning basedapproach for automatic detection of COVID-19

In the present study, cetyltrimethylammonium bromide (CTAB) was used to modify raw bentonite (Ben) through the replacement of exchangeable cations to form CTAB modified bentonite (CTAB−Ben). Both Ben and CTAB−Ben were characterized using scanning electron microscopy (SEM), X-ray diffraction (XRD), Fourier transform infrared (FT-IR) spectroscopy and Brunauer-Emmet-Teller (BET) analysis. Adsorption potential

Uttarkashi region is highly prone to landslides because of its geological structure. The exact occurrence of these landslides events is difficult to predict due to its complex mechanism and dependence on the number of triggering factors. Moreover, the behavior and prediction of unstable slopes are of high importance failing of which otherwise can have a devastating impact. This research work aims at

Wind turbine generators are spreading around the world due to its advantages over fossil fuels. Structural monitoring of them is important to increase operation and reduce maintenance times. Visual inspection is highly influenced by the human factor due to the working conditions. Image processing supported by vision systems offers high advantages reducing times, being the software and processing algorithms

The 5G networks are very important to support complex application by connecting different types of machines and devices, which provide the platform for different spoofing attacks. Traditional physical layer and cryptography authentication methods are facing problems in dynamic complex environment, including less reliability, security overhead also problem in predefined authentication system, giving

Torrefaction refers to the thermal and chemical treatment of organic substances (at atmospheric pressure, between 200–300°C, under inert conditions). The objective of this study is to torrefy the rice husk of Ethiopian origin, after a pretreatment with dilute sulfuric acid in order to enhance its energy density. The torrefaction temperature, holding time, and acid concentration investigated in this

One of the most widely used methods in the production of plastic products is the extrusion process. There are many factors that affect the product quality throughout the extrusion process. Examining the effects of these factors and determining the optimum process parameters which will provide the desired product characteristics; is important for reducing costs and increasing competitiveness. This study

The major causes of radio frequency radiation hazards are the transmitting antennas of radio, TV, radar, cell phones, wireless data acquisition systems and global positioning systems in the new age of communication technology using various modulation schemes such as amplitude modulation (AM), frequency modulation (FM) etc. The transmitting antennas of these communication devices generate electromagnetic

Experimental investigation has been conducted on a collector for non-cross flow configuration. The structure incorporates fins with impinging air jets below the absorber surface. The main aim is to examine the significance of implicating both the methods on heat transfer and thermal performance of the apparatus. Testing covers a prescribed range of operating and geometrical parameters such as, fin

Osmotic dehydration of elephant apple fruit slices was optimized using a Box-Behnken design. Sugar concentration, immersion time and drying air temperature were chosen as the experimental input variables. These were optimized by estimating the desirable osmotic properties and by evaluating the phenolic compounds, antioxidant activity and rehydration ability. The regression coefficients of all the valid

An investigation was carried out to design, develop and evaluate the performance of manually operated Lever type Maize Sheller (LMS). It consisted of a handle, guiding rod, supporting rod, spring loaded ram, maize cob guiding cylinder, shelling blade, buffer, collection chamber, shutter and frame. Performance of developed LMS was statistically compared with Tubular Maize Sheller (TMS) in terms of throughput

Growing environmental concern and fast depletion of conventional fossil fuel resources have induced an urgent search for alternative energy sources. In this regard, biodiesel obtained from Jatropha oil (a non-food oil), seems to be a very promising alternative. Though a lot of research is already done in catalytic transesterification, in the present work, conversion of high FFA (5.5%) bearing Jatropha

Deep neural network has emerged as one of the most effective networks for modeling of highly non-linear complex real-time systems. The long-short term memory network (LSTM) which is a one of the variants of recurrent neural network (RNN) has been proposed for the identification of a highly nonlinear Maglev plant. The comparative analysis of its performance is carried out with the functional link artificial

The advent of computer vision and evolution of high-end computing in remote sensing images have embellish various researchers for unprecedented development in remotely sensed aerial images. The requirement to extract essential information stimulated anatomization of aerial images for its usefulness. Deep learning provides state of the art solutions for widely explored visual recognition system and

Multi-relational classification is highly challengeable task in data mining, because so much data in our world is organised in multiple relations. The challenge comes from the huge collection of search spaces and high calculation cost arises in the selection of feature due to excessive complexity in the various relations. The state-of-the-art approach is based on clusters and inductive logical programming

In this paper, a QR Code Identity Tag System designed for Turkish healthcare and served through the cloud is presented. The system designed is a distributed information management system as the medical data objects are geographically distributed over the system. The data objects are geographically distributed as they are placed on servers closest to the geographical location where they are most frequently

Using panel data from 30 Chinese provinces for the period between 2003 and 2017, this paper explores the relationship between the aging and technological innovation. The global principal components analysis is used to construct the index system of technological innovation from three aspects: innovation input, innovation output and innovation diffusion. Then, the inverted U-shape relationship between