Redistributed manufacturing system under uncertain evaluation using multi criteria decision making

Man In recent day’s occurrence of a global crisis in Environmental (Emission of pollutants) and in Health (Pandemic COVID-19) created a recession in all sectors. The innovations in technology lead to heavy competition in global market forcing to develop new variants especially in the automobile sector. This creates more turbulence in demand at the production of new models, maintenance of existing models that are obsolete while implementation of Bharat Standard automobile regulatory authority BS-VI of India. In this research work developed a novel model of value analysis is integrated by multi-objective function with multi-criteria decision-making analysis by incorporating the big data analytics with green supply chain management to bridge the gap in demand to an Indian manufacturing sector using a firm-level data set using matrix chain multiplication dynamic programming algorithm and the computational results illustrates that the algorithm proposed is effective

An annual algal diversity of Lakhna, Etawah, Uttar Pradesh, India

The nature of an ecosystem can be easily assumed by the presence of planktonic diversity, as they have a major role in oxygen amelioration, binding and removal of toxic substances from water body. The present enumeration deals with the annual algal diversity from the Lakhna town of Etawah, Uttar Pradesh. During this one year period, total fifty-four species of Algae recorded viz. Achnanthes minutissima, Amphora ovalis, Anabaena oscillarioides, A. oryzae, Ankistrodesmus falcatus, Aphanocapsa littoralis, Aphanothece microscopica, Arthrospira sp., Calothrix gloeocola, Chlorella vulgaris, Chlorococcum  humicola, Chroococcus minor, C. minutes, Cladophora glomerata, Closterium venus, Coelosphaerium kuetzingianum, Cyclotella meneghiniana, Cylindrospermum minutissimum, Euglena minuta, Fragilaria crotonensis, Gloeocapsa magma, Gloeotrichia pisum, Gomphonema parvulum, Hydrodictyon reticulatum, Lyngbya contorta, L. epiphytica, L. majuscula, Merismopedia glauca, M. tenuissima, Microcystis aeruginosa, M. flos-aquae, M. robusta, Mougeotia calcarea, Navicula ambigua, N. brebissonii, N. lata, Nostoc commune, N. punctiforme, Oscillatoria formosa, O. subuliformis, O. princeps, Pediastrum  boryanum, Phormidium ambiguum, P. fragile, P. lucidum, Rivularia aquatica, Scenedesmus bijuga, S. obliquus, Spirogyra affinis, S. submaxima, Spirulina gigantea, S. major, Ulothrix  zonata, Zygnema collinsianum. This information can be used as baseline data and may be further used to assess any change in algal diversity of Gangetic plain after a sufficient gap to understand the impact of changing climate on it

To Implement “Lean Six Sigma” Concept in Automobile Manufacturing – A Case Study

With the ever increasing demand of the customer in a highly competitive environment quality perfection is a desirable objective. The purpose of this paper is to bring the focus on problem solving techniques using Lean Six Sigma methodology and to change the mind set of peoples within the organization that root cause cannot be established just by thinking and engineering guesses. Six Sigma methodologies help to pin root causes using simple data collection and analysis technique. This case study will explain the application of various graphical and statistical tools of problem solving in real life like Pareto, Box Plot, Main effect plot, Interval plot and Binary logistic regression. The study was conducted at M/S Asahi India Glass an auto glass manufacturer a Tier 1 supplier of Maruti Suzuki India Limited (Largest Car Manufacturer of India). The major pain area was high rejection in Tempering process i.e. 62158 PPM against the target of 45000 PPM in FY 2013-14. With the scoping tools like tree diagram and Pareto, Product Backlite glass of Swift Dzire (MPG-BCK) was found the major contributor and characteristics identified for analysis were Curvature NG, Blast Head Breakage, and Roller Imprint. This rejection was being reported since inception. As a result by this case study after analysis and countermeasures the overall rejection reduced by 40%

Diagnosis of COVID-19 Using Chest X-ray

Covid-19 is also a wide spreading infective agent disease that infects humans. A clinical study of COVID-19 infected patients has shown that these kinds of patients are square measure principally infected from a respiratory organ infection when come in contact with this disease. Chest xray (i.e., radiography) a less complicated imaging technique for identification respiratory organ connected issues. Deep learning is that the foremost undefeated technique of machine learning, that provides helpful analysis to review an oversize quantity of chest x-ray pictures which may critically impact on screening of Covid-19. Throughout this work, we have taken the PA read of chest x-ray scans for covid-19 affected patients conjointly as healthy patients. We have used deep learning-based CNN models and compared their performance. We have equate ResNeXt models and inspect their precision to investigate the model presentation, 6432 chest x-ray scans samples square measure collected from the Kaggle repository. This work solely core on potential ways of cluster covid-19 infected patients

ENERGETIC WATER QUALITY ANALYSIS AUDITING SCHEME WITH IOT ENVIRONMENT

In nowadays worldwide, Internet of Things (IoT) and also Remote Sensing (RS) techniques are being utilized in unique locations of research study for tracking, accumulating and also examining data from far-off locations. Consuming alcohol water is an entirely useful asset for all human beings as alcohol consumption water energies encounter lots of brand-new requiring scenarios in real-time procedure. These irritating scenarios come from because of constricted water sources, expanding populace, aging facilities and also lots of others. As a result, there is a requirement for greater techniques to expose the water premium. In order to ensure the secure supply of consuming water the fantastic requirements to be checked in real-time. In this paper, we plan to offer the style as well as renovation of a low-fee tool for real monitoring of water superb in IoT environments. The specifications in addition to temperature level, PH, turbidity, float sensing unit of the water might be determined. The determined worth from the sensing units can be refined through the centre controller. The ARM 7 variation might be utilized as a centre controller. Ultimately, the sensing unit truths might be shown up on the web using WI-FI device

L-shell spectroscopy of neon and fluorine like copper ions from laser produced plasma

Ne, F, and O-like Rydberg resonance lines along with some of the inner shell satellite lines of Copper plasma, in the wavelength range of 7.9-9.5 Å, are experimentally observed using a thallium acid phthalate crystal spectrometer. The plasma is produced by the irradiation of a Cu target with a 15 J, 500 ps Nd: Glass laser with a focusable intensity up to 5 × 10 14 W/cm 2 . The observed lines result from the transitions among 2p-nd, 2p-ns, and 2s-nd (n = 4-6) levels. Transition wavelengths, transition probabilities, and oscillator strengths of these lines are calculated using the Multi-Configuration Dirac-Fock method. In this computation, the contribution of relativistic corrections such as two-body Breit corrections and QED corrections due to vacuum polarization and self-energy has also been considered. FLYCHK simulations are used to analyze the distribution of the various charge states of the Copper ions and to find the temperature and density of plasma. Moreover, the effect of self-absorption of the plasma (opacity), as well as of suprathermal electrons on charge state distribution of ions, is also studied. The synthetic spectrum provides a best-match with the experimental spectrum at a laser intensity of 1.3 × 10 14 W/cm 2 for T c = 150 eV, T h = 1000 eV, f = 0.008, and density 4.5 × 10 20 cm −3 .The temperature and density ranges are also calculated using a radiative hydrodynamic code. The calculated temperature and density range are in agreement with the experimentally determined values. The effect of the change in laser intensity on the L-shell spectrum of Cu is studied which indicates the switching between lower (Cu XX) and higher charge states (Cu XXI and Cu XXII) at higher laser intensities

Physico Chemical Characteristics of Lakhna Devi Temple Water Tank, Lakhna, Bakewar, Etawah, U.P. with reference to Cyanobacterial Diversity

Fresh water bodies in populated plains of tropical countries face various disturbances in the form of pollutant and nutrient inflow, heavy metal and elemental precipitation (wet or dry) and constant silt inflow (natural or anthropogenic). The physico-chemical characteristics are very much important for any water body. In lentic water bodies these characteristics shows very much variation because in summer they have less and in rains large amount of water. These adverse constrain effectively influence the algal assemblage and can be a good indicator of overall health of the water body. In the study different Physico-chemical characteristics and algal diversity were monthly observed for one year duration (Jun. 2008 to May 2009). Some of 31 species of Cyanobacteria recorded from the study site viz. Microcystis aerughinosa, M. flos-aquae, M. robusta, Chroococcus minor, C.minutes, Gloeocapsa magma, Aphanocapsa littoralis, Aphanothece microscopis, Coelosphaerium kuetzingianum, Merismopedia glauca, M. tenuissima, Arthrospira spriulinoides, Spirulina gigantean, S. major, Oscillatoria formosa, O. subuliformis, O. princeps, Phormidium ambiguum, P. fragile, P. lucidum, Lyngbya contorta, O. epiphytica, O.majuscule, Cylindrospermum minutissimum, Nostoc commune, N. punctiforme, Anabaena oscillarioides, A. oryzae, Calothrix gloeocola, Rivularia aquatic and Gloeotrichia pisum

Therapeutic Management of Pulmonary Tuberculosis by Mannosylated Chitosan Ascorbate Microspheres: Preparation and Characterization

Objective: In this study, biodegradable Chitosan Ascorbate Microsphere (CAMs) and mannosylated chitosan ascorbate microsphere (m-CAMs) prepared for targeting towards alveolar macrophages to treatment of pulmonary tuberculosis.  Significance: Ascorbic acid is an antioxidant and reported killing effect on mycobacterium by induces fenton reaction. This study enlightens the possible benefits of adding antioxidant properties of ascorbic acid with chitosan microsphere to an anti-tuberculosis regimen and mannosylation of microsphere significantly induce the targetability of antitubercular drug to alveolar macrophages. Methods: CAMs prepared by firstly salification of chitosan by ascorbic acid then ionic gelation with STPP and m-CAMs prepared by incubation method and purified for further studies. The physicochemical, in vitro and in vivo characterizations of both formulations were carried out. Results: The size of microspheres (both CAMs and m-CAMs) were found to be in range of 3.40-4.81µm. Evident changes were observed in crystallinity and structure of both carrier systems and depicted by Fourier transform infrared (FTIR), Differential scanning calorimetry (DSC) and X-ray diffraction (XRD) studies. In vitro lung deposition study of microspheres showed favourable aerodynamic properties for deep lung delivery (MMAD 2.0- 3.8 μm) and, thus, show potential for an application as inhalable tuberculosis therapy. The drug release showed the biphasic pattern of release, i.e., initial burst (30-45% up to 8 h) followed by a slower sustained release pattern (more than 80% up to 72 h) in both simulated lung fluids. Optimized formulations exhibited lower cytotoxicity and bio distribution studies demonstrated the efficiency of m-CAMs for spatial delivery of INH to alveolar tissues. CAMs and m-CAMs evidenced minor cytotoxicity on lung epithelial cells (A549 cell lines). Conclusion: m-CAMs thus has a promising potential to be explore as an effective carrier system for delivery of antitubercular drugs regimen. Key words: Targetability, alveolar macrophage, lung cancer A549 cell

Successful transcatheter closure of very large ruptured sinus of Valsalva aneurysm

Sinus of Valsalva aneurysm, usually a congenital anomaly, almost always ruptures into the right side of the heart causing a left-to-right shunt with profound hemodynamic consequences. With the availability of devices and hardware, transcatheter closure is gradually replacing surgical one. Till now, most of closures have been performed by Amplatzer duct occluder. To the best of our knowledge, the present case is first to be reported with this rare defect undergoing successful transcatheter closure of largest ruptured sinus of Valsalva aneurysm arising from right coronary sinus by using 20/18 mm Cocoon Duct Occluder (Vascular Innovations, Nonthaburi, Thailand)

Does age and start of Ponseti treatment affect the functional outcome in club foot: A comparative study

Background: Idiopathic clubfoot is one of the most common and complex congenital deformities which are difficult to correct. Aims and Objectives: The present study was designed to assess the effectiveness and results of the Ponseti method’s early use in the treatment of idiopathic congenital talipes equinovarus (CTEV). Materials and Methods: Seventy-six feet in 50 patients of CTEV during the period of May 2019–May 2020 were studied. All the cases were treated by Ponseti technique. Children with idiopathic CTEV and age <1 year were included in our study. The severity of deformity was graded according to Pirani scoring system both at the beginning and at the end of treatment. Results: The mean age at presentation was 2.77 months. The mean initial Pirani score at time of presentation was 4.07, and at last follow-up was 0.13. We observed that 63 feet (82.89%) out of 76 feet required a percutaneous TA tenotomy along with plaster casting to correct the equines deformity. The mean total number of casts required to correct the deformity was 6.4. The mean duration of treatment from 1st plaster cast to cast for equinus correction was 8.4 weeks. About 94% of cases had a good outcome at last follow-up which was evaluated on the basis of Pirani score. The association of duration of treatment (weeks) with age and total number of cast with age has P=0.002 which was found to be significant. Conclusion: The Ponseti technique is a very safe, efficient, and acceptable economical treatment for the correction of CTEV that gives excellent results on conservative treatment and in most of the cases avoid surgical intervention if protocol followed as prescribed. If the age of the patient is higher at time of presentation, it requires a longer casting period and more number of casts to correct the deformity compared to younger children with the early presentation