Showing papers by "Heritage Institute of Technology published in 2018"
TL;DR: Computational results show that it is always beneficial in integrated system for the members of the chain as the demand is uncertain in nature and the retailers face shortages.
Abstract: The paper studies a two-echelon supply chain comprising of one manufacturer and two competing retailers with sales price dependent demand and random arrival of the customers. The manufacturer acts as the supplier who specifies wholesale price for the retailers and the retailers compete with each other announcing different sales prices. We analyse a single-period newsvendor type model to determine the optimal order quantity, considering the competing retailers’ strategies.The unsold items at the retailers are buyback to the manufacturer at less price than the sales prices.On the other hand, the retailers face shortages as the demand is uncertain in nature. The profit functions of manufacturer and two retailers are analyzed and compared following Stakelberg, Bertrand, Cournot–Bertrand and integrated approaches. Moreover, distribution-free model is analyzed for integrated profit of the chain. A numerical example is given to illustrate the theoretical results developed in each case. Computational results show that it is always beneficial in integrated system for the members of the chain.
68 citations
TL;DR: In this paper, a comparative analysis on process performance of activated carbon (AC) as derived from rice husk with the commercial one has been carried out for the removal of highly hazardous hexavalent chromium (Cr(VI)) from aqueous solution.
Abstract: The release of heavy metals with several industrial effluents is a major issue of concern for environmental protection due to their toxic and stable nature. Among several newer separation techniques invented for the remediation of such nuisance, adsorption has been able to keep its position on demand. In this work, comparative analysis on process performance of activated carbon (AC) as derived from rice husk with the commercial one has been carried out for the removal of highly hazardous hexavalent chromium (Cr(VI)) from aqueous solution. Effects of operational parameters such as pH of the solution, initial concentration of adsorbate on process efficiency were studied. The percentage removal of Cr (VI) at pH of 2 was found to be up to 97.8% and 91.23% for commercial and rice husk-derived AC, respectively. Adsorption kinetics has been studied through different kinetic models such as pseudo-first-order, pseudo-second-order and intra-particle diffusion models. Pseudo-second-order model agreed well fo...
50 citations
TL;DR: Two warehouse inventory models with ramp type demand rate and three-parameter Weibull distribution deterioration (ThPWD) under inflationary conditions, where permissible delay in payment is available for retailer if outstanding amount is compensated within the given credit period are developed.
43 citations
TL;DR: In this paper, a simple and convenient approach to find the adulteration of turmeric with metanil yellow by near-infrared (NIR) spectroscopy coupled with chemometrics was reported.
Abstract: Turmeric (Curcumina Longa) is a globally traded commodity which is subjected to economically motivated chemically unsafe adulteration, namely metanil yellow. In this work, we report a simplistic and convenient approach to find the adulteration of turmeric with metanil yellow by near-infrared (NIR) spectroscopy coupled with chemometrics. Pure turmeric sample was prepared in the laboratory and spiked with different concentrations of metanil yellow. The reflectance spectra of 248 pure turmeric, metanil yellow, and adulterated samples (1–25%) (w/w) were collected using NIR spectroscopy. The calibration models based on NIR spectra of 144 samples were built for two different regression models, principal component analysis (PCR), and partial least square (PLSR) methods. Another 72 samples were used for external validation. The coefficient of determination (R
2) and root mean square error of calibration for validation and prediction were found to be 0.96–0.99, 0.44–0.91, respectively, for most of the results depending upon different pre-processing techniques and mathematical models used. The original reflectance spectra, the 1st derivative plot, the plot of PLSR regression coefficient (β), and the first three principal component loadings revealed metanil-related absorption regions. To verify the robustness of the models, the figures of merit (FOM) of the models were calculated with the help of net analyte signal (NAS) theory. Overall, it was found that PLSR yielded superior results as compared to the PCR technique. These methods can be applied to other spices also to detect the adulteration rapidly and without any prior sample preparations and with low cost.
42 citations
TL;DR: In this article, a novel bilayered Zn Ni-Co-SiC nanocomposite bilayer coating on mild steel by electrodeposition was developed, which achieved a hardness of 734 HV and a corrosion current density of 28μA/cm2 in 3.5 mM NaCl.
37 citations
01 Dec 2018
TL;DR: By employing the possibility and necessity measures of GIFN, the single period multi-product manufacturing generalized intuitionistic fuzzy inventory models is transformed into an equivalent deterministic problem and the transformed problem has been solved by soft computing technique.
Abstract: As a special intuitionistic fuzzy set on a real number set, intuitionistic fuzzy numbers (IFNs) have the best capability to model ill-known quantities. The purpose of this paper is to investigate generalized intuitionistic fuzzy numbers (GIFNs). The weighted possibility, necessity and credibility measures of generalized trapezoidal intuitionistic fuzzy numbers (GTIFN) are introduced, and expected value of GTIFN has been formulated. By employing the possibility and necessity measures of GIFN, the single period multi-product manufacturing generalized intuitionistic fuzzy inventory models is transformed into an equivalent deterministic problem. The transformed problem has been solved by soft computing technique. Finally, the proposed method is illustrated with one numerical example.
23 citations
TL;DR: A kinetic model based on Michaelis-Menten assumptions is developed here for enzymatic hydrolysis of cellulose using cellulase enzyme derived from Trichoderma reesei and manifests that the effect of different sugars are much significant in inhibiting the enzyme compared to the substrate concentration.
20 citations
TL;DR: In this article, a mathematical model has been developed to simulate substrate and biomass time-concentration profiles as a function of radial position within the probiotic beads/capsules.
20 citations
TL;DR: In this paper, an optimum solid loading (solid: liquid = 1:20), pH (4.8), temperature (50°C), and enzyme dosing of 20 filter paper unit (amount of enzyme required to release 1µmol of glucose as reducing sugar from filter paper in per mL per minute) were enumerated for enzymatic hydrolysis of banana stem using cellulase from Trichoderma reesei.
Abstract: In current work, an optimum solid loading (solid: liquid = 1:20), pH (4.8), temperature (50°C), and enzyme dosing of 20 filter paper unit (amount of enzyme required to release 1 µmol of glucose as reducing sugar from filter paper in per mL per minute) were enumerated for enzymatic hydrolysis of banana stem using cellulase from Trichoderma reesei. Further, inhibition study on enzymatic hydrolysis of banana stem was investigated by the supplementation of monosaccharides (glucose, galactose, mannose, xylose, and arabinose), disaccharide (cellobiose), and inhibitors (acetic acid and furfural obtained from pre-enzymatic hydrolysis steps). Glucose and cellobiose showed inhibitory effect on enzymatic hydrolysis of pretreated banana stem at or above 8 g/L while galactose, mannose, and xylose showed a significant inhibitory effect at or above 4 g/L. Instead of inhibition, arabinose enhanced the enzymatic hydrolysis with increase in total reducing sugars. Acetic acid did not show any significant inhibition ...
17 citations
TL;DR: A bi-stage hierarchical swarm based gene selection technique which combines two methods, proposed in this paper for the first time, and generates a good subset of pathway markers which provides more effective insight into the gene-disease association with high accuracy and reliability.
17 citations
TL;DR: The proposed scheme allows periodic group based sharing of resource inventories and supports search and retrieval of queries within a restricted time period and outperforms one of the state-of the art content sharing schemes, discover-predict-deliver in terms of response delivery, average energy consumption and average delivery latency.
TL;DR: In this paper, the synthesis of polycrystalline n-CdSeS composite films on FTO-coated glass substrate routed through galvanostatic method of deposition at constant temperature from the electrolytic solution containing respective precursors, while varying the concentration of elemental sulfur in the bath.
TL;DR: In this article, the performance of lead free Perovskite BiFeO3 with graphene electrode and Ti/Ni/Cd doped BFO with graphene electrodes has been compared.
TL;DR: In this article, a comparative analysis of electro-catalytic behavior of Pt, Pd and ternary combinations of Co and Ni with Pd NPs, supported on vulcan XC72 as the anode component in direct ethanol fuel cell (DEFC) operating in alkaline environment is presented.
Abstract: The present investigation deals with the comparative analysis of electro-catalytic behaviour of Pt, Pd and ternary combinations of Co and Ni with Pd NPs, supported on vulcan XC72 as the anode component in direct ethanol fuel cell (DEFC) operating in alkaline environment. Catalyst NPs were synthesized by ethylene glycol reduction method and their structure, composition and surface morphology were determined through XRD, EDAX and TEM techniques. The superb catalytic efficiency of PdCoNi/C toward ethanol oxidation reaction (EOR) is ascribed to the catalytic intervention of transition metal ad atoms and their surface oxides, culminating to enhanced electrochemical surface area, preferred OH− adsorption on the surface and remarkable yield of oxidation products (CH3CO2− and CO32 −) estimated by ion chromatography. The performance output parameters collectively substantiate not only to the catalytic superiority of the PdCoNi/C catalyst but also affordability to a considerable extent over both the Pt/C and Pd/C catalysts.
TL;DR: In this paper, a sonochemical synthetic approach was used in fabricating PdCo/MnO2 catalyst for the study of ethanol oxidation reaction in alkali medium. But, the performance of Pd61Co39/mnO2 was not evaluated.
Abstract: The present study deals with sonochemical synthetic approach in fabricating PdCo/MnO2 catalyst for the study of ethanol oxidation reaction in alkali medium. SEM and TEM images reveal that MnO2 morphology is changed from nanowire to nanorod during intercalation of Pd, Co NPs in the support materials. Charge transfer across the electrode–electrolyte interface becomes facile due to (2 × 2) pore tunnels of α MnO2. Lowering of Pd loading around 40% in the catalyst matrix by Co not only makes the catalyst cheaper but also enhances the ethanol oxidation current by 66.3% compared to Pd/C. Extensive electrolysis on Pd61Co39/MnO2 over a considerable span of potential is reflected in the voltammetric features, typically demonstrating the synergistic effect of the Pd–Co ad atoms ingrained on α MnO2 structure. Chrono-amperometric analysis for an extended period indicates excellent sustainability of Pd61Co39/MnO2 in the oxidation environment. The yield of oxidation products on Pd61Co39/MnO2, derived from ion chromatogr...
TL;DR: A successful real-time data streaming in computer proved the usefulness of the quality controlled PPG compression technique using principal component analysis to keep the local and global distortion of the reconstructed data within pre-specified limits.
04 May 2018
TL;DR: An automatic technique for the segmentation of the cup region from the optical disc(OD) region in RGB channels to calculate the parameters used for the predictive analysis of glaucoma is presented.
Abstract: The automatic retinal image analysis is emerging as one of the most important primary screening tools for early detection and treatment for eye diseases. Glaucoma is a severe human eye disease leading to the permanent loss of vision. The manual examination of optic nerve head of the retina using Color Fundus Imaging (CFI) is a standard procedure used for predicting glaucoma, but the detection and diagnosis varies widely across different ophthalmologists. In this paper we present an automatic technique for the segmentation of the cup region from the optical disc(OD) region in RGB channels to calculate the parameters used for the predictive analysis of glaucoma. The accurate segmentation of the cup region and the optical disc from the retinal fundus image serves as an important step for the calculation of cup-to-disc area ratio (ACDR). The quantitative evaluation of this predictive analysis is done on a freely available database with a result accuracy of 83.168%.
TL;DR: In this article, the authors studied time dependent images of advective flows around a Schwarzschild black hole which include cooling effects due to Comptonization of soft photons from a Keplerian disks as well as the self-consistently produced jets and outflows.
Abstract: Two Component Advective Flow (TCAF) successfully explains the spectral and tem- poral properties of outbursting or persistent sources. Images of static TCAF with Compton cloud or CENtrifugal pressure supported Boundary Layer (CENBOL) due to gravitational bending of photons have been studied before. In this paper, we study time dependent images of advective flows around a Schwarzschild black hole which include cooling effects due to Comptonization of soft photons from a Keplerian disks well as the self-consistently produced jets and outflows. We show the overall image of the disk-jet system after convolving with a typical beamwidth. A long exposure image with time dependent system need not show the black hole horizon conspicuously, un- less one is looking at a soft state with no jet or the system along the jet axis. Assuming these disk-jet configurations are relevant to radio emitting systems also, our results would be useful to look for event horizons in high accretion rate Supermassive Black Holes in Seyfert galaxies, RL Quasars.
01 Nov 2018
TL;DR: The system built will apprise individuals or organisations about the amount of waste in their bins and also alert them when the bin is filled to the brim, and analyses the waste products to ensure the proper segregation of the wastes into biodegradable, non-biodesgradable and recyclable wastes.
Abstract: In recent times, cleanliness has become an important factor for human health. One major aspect of cleanliness is the efficient disposal of wastes. Accumulation of waste products for prolonged periods of time can lead to the spreading of various diseases. Therefore, countries around the world are taking attempts to ensure proper handling of waste products. The system we built will apprise individuals or organisations about the amount of waste in their bins and also alert them when the bin is filled to the brim. Our system also analyses the waste products to ensure the proper segregation of the wastes into biodegradable, non-biodegradable and recyclable wastes. The system also recognizes objectionable materials in the bin, using Computer Vision API and sends an alert as and when they are disposed. This system will thus help promoting cleanliness in the country. By utilising this system, people need not check their bins on a regular basis as they will be notified when required.
TL;DR: In this paper, the authors investigated the gravitational lensing phenomenon in the strong field regime for a regular, charged, static black hole with non-linear electrodynamics source.
Abstract: In this paper we have investigated the gravitational lensing phenomenon in the strong field regime for a regular, charged, static black holes with non-linear electrodynamics source. We have obtained the angle of deflection and compared it to a Schwarzschild black hole and Reissner Nordstrom black hole with similar properties. We have also done a graphical study of the relativistic image positions and magnifications. We hope that this method may be useful in the detection of non-luminous bodies like this current black hole.
TL;DR: The developed UF-MBR process proved to be highly proficient in terms of such organic pesticides removal for long-term operations and was found to affect both atrazine biodegradation and membrane fouling.
Abstract: Graphene oxide (GO)-based composite ultrafiltration (UF) membranes were prepared on macroporous ceramic support tubes following a new way. Chitosan was used as an intermediate matrix between the substrate and GO coating. It has hydroxyl and amine groups, which enhances its film forming capacity with hydrophilic GO. This led us to use them as precursors for membrane development. Process efficiency of the prepared UF membrane was assessed in terms of the removal of toxic pesticide atrazine in side-stream membrane bioreactor (MBR) processes. Response surface methodology (RSM) was used to optimize the atrazine biodegradation efficiency. Enhanced atrazine removal of > 95% was obtained in the MBR treatment at the optimized conditions. Hermia’s model equations were applied to analyze the mechanism of membrane fouling in the UF-MBR system. The influencing parameters were studied in details and pneumatic backpulsing was applied to minimize fouling in the UF-MBR system by statistical analysis. Mixed liquor suspended solids (MLSS) was found to affect both atrazine biodegradation and membrane fouling; hence, its effect was thoroughly analyzed. The developed process hence proved to be highly proficient in terms of such organic pesticides removal for long-term operations.
TL;DR: A trust based Watchdog technique is seamlessly integrated with PRoPHET so that situational messages are successfully delivered even in the presence of selfish and malicious nodes, in a post disaster communication scenario.
TL;DR: Results demonstrated that the method is able to produce cancer-specific panels of microRNAs that are promising candidates for a subsequent in vitro validation, and enrichment analysis showed that the selected miRNAs are involved in oncogenesis pathways, while survival analysis proved that mi RNAs can be used to evaluate cancer severity.
Abstract: MicroRNAs are small non-coding RNAs that influence gene expression by binding to the 3' UTR of target mRNAs in order to repress protein synthesis. Soon after discovery, microRNA dysregulation has been associated to several pathologies. In particular, they have often been reported as differentially expressed in healthy and tumor samples. This fact suggested that microRNAs are likely to be good candidate biomarkers for cancer diagnosis and personalized medicine. With the advent of Next-Generation Sequencing (NGS), measuring the expression level of the whole miRNAome at once is now routine. Yet, the collaborative effort of sharing data opens to the possibility of population analyses. This context motivated us to perform an in-silico study to distill cancer-specific panels of microRNAs that can serve as biomarkers. We observed that the problem of finding biomarkers can be modeled as a two-class classification task where, given the miRNAomes of a population of healthy and cancerous samples, we want to find the subset of microRNAs that leads to the highest classification accuracy. We fulfill this task leveraging on a sensible combination of data mining tools. In particular, we used: differential evolution for candidate selection, component analysis to preserve the relationships among miRNAs, and SVM for sample classification. We identified 10 cancer-specific panels whose classification accuracy is always higher than 92%. These panels have a very little overlap suggesting that miRNAs are not only predictive of the onset of cancer, but can be used for classification purposes as well. We experimentally validated the contribution of each of the employed tools to the selection of discriminating miRNAs. Moreover, we tested the significance of each panel for the corresponding cancer type. In particular, enrichment analysis showed that the selected miRNAs are involved in oncogenesis pathways, while survival analysis proved that miRNAs can be used to evaluate cancer severity. Summarizing: results demonstrated that our method is able to produce cancer-specific panels that are promising candidates for a subsequent in vitro validation.
TL;DR: The relation between Bell-CHSH violation and factorization of Hilbert space is considered in this paper, where a state which is local in the sense of the CHSH inequality under a certain factorizatio...
Abstract: The relation between Bell-CHSH violation and factorization of Hilbert space is considered here. That is, a state which is local in the sense of the Bell-CHSH inequality under a certain factorizatio...
01 Jan 2018
TL;DR: A scheduling-based technique to reduce test-time for core-based 3DSoCs, under certain constraints on TAM-width and the number of TSVs is presented and an improvement in test time for most of the circuits is revealed.
Abstract: Minimization of overall test time is one of the primary concerns in the design of 3D-SoCs, whereas satisfying the thermal constraints and bounding the number of inter-layer TSVs are also of critical importance. This paper presents a scheduling-based technique to reduce test-time for core-based 3DSoCs, under certain constraints on TAM-width and the number of TSVs. A partitioning technique is also suggested to assign the layers to cores under TSV and power constraints. The proposed methods have been tested on several SoC benchmarks. Experimental results reveal an improvement in test time for most of the circuits, while satisfying the above-mentioned constraints.
TL;DR: In this paper, the suitability of bioactive glass-ceramics for application as bioactive coating on Ti-based biomedical implants was evaluated in vitro in simulated body fluid (SBF) solution.
Abstract: The present study showed the suitability of bioactive glass-ceramics for application as bioactive coating on Ti based biomedical implants. The desired properties of bioactive glass-ceramic coating were obtained through controlled crystallization. XRD, optical microscopy, SEM in association with EDX data showed the phase composition and morphology of the glass-ceramic coatings. Microhardness distribution across the coated substrates and the scratch resistance property of the coatings were varied for the differently heat treated coated substrates. The bioactivity of the fluroapatite based glass-ceramic coating on Ti6Al4V substrate was investigated in vitro in simulated body fluid (SBF) solution. After immersion in SBF solution the glass-ceramic coating surface was characterized by SEM, EDX analysis and the elemental compositional change of the SBF solution was determined by chemical analysis technique. SEM, EDX analysis and chemical analysis indicated that the glass-ceramic coatings reacted with the SBF solution and formed fluroapatite layer on their surfaces.
TL;DR: In this paper, a multi-objective multi-item solid transportation problem is formulated with the transportation cost and time parameters as fuzzy variables, and a chance-constraint programming model is formulated, and is then transformed into the corresponding deterministic form.
Abstract: Generally, in transportation problem, full vehicles (e.g., light commercial vehicles, medium duty and heavy duty trucks, etc.) are to be booked, and transportation cost of a vehicle has to be paid irrespective of the fulfilment of the capacity of the vehicle. Besides the transportation cost, total time that includes travel time of a vehicle, loading and unloading times of products is also an important issue. Also, instead of a single item, different types of items may need to be transported from some sources to destinations through different types of conveyances. The optimal transportation policy may be affected by many other issues like volume and weight of per unit of product, unavailability of sufficient number of certain types of vehicles, etc. In this paper, we formulate a multi-objective multi-item solid transportation problem by addressing all these issues. The problem is formulated with the transportation cost and time parameters as fuzzy variables. Using credibility theory of fuzzy variables, a chance-constraint programming model is formulated, and is then transformed into the corresponding deterministic form. Finally numerical example is provided to illustrate the problem.
TL;DR: In this article, the authors investigated the gravitational lensing phenomenon in the strong field regime for a regular, charged, static, non-linear black hole having a electrodynamics source.
Abstract: In this paper we have investigated the gravitational lensing phenomenon in the strong field regime for a regular, charged, static, non-linear black hole having a electrodynamics source We have obtained the angle of deflection and compared it to a Schwarzschild black hole and Reissner Nordstrom black hole with similar properties We have also done a graphical study of the relativistic image positions and magnifications We hope that this method may be useful in the detection of non-luminous bodies like this current black hole
TL;DR: This study elucidates the wing pattern of the geometrid moth C. eleonora using high-resolution microscopy techniques that has not been described in previous studies, and observes fine nanostructural variation throughout the wings.
Abstract: Butterflies and moths possess diverse patterns on their wings. Butterflies employ miscellaneous colour in the wings whereas moths use a combination of dull colours like white, grey, brown and black for the patterning of their wings. The exception is some of the toxic diurnal moths which possess bright wing colouration. Moths possess an obscure pattern in the dorsal part of the wings which may be a line, zigzag or swirl. Such patterns help in camouflage during resting period. Thus, the dorsal wing pattern of the moth is used for both intra- as well as inter-specific signal communication. Chiasmia eleonora is a nocturnal moth of greyish black colouration. The dorsal hindwing possesses yellow and black colour patches. A white-coloured oblique line crosses both left and right fore- and hindwings to form a V-shaped pattern across the dorsal wing. This V-shaped pattern possesses a UV signal. Closer to the body, the colour appears darker, which fades towards the margin. The fine nanostructural variation is observed throughout the wings. This study elucidates the wing pattern of the geometrid moth C. eleonora using high-resolution microscopy techniques that has not been described in previous studies.