Scheduling of Automated Guided Vehicles in Flexible Manufacturing Systems environment

Automated Guided Vehicles (AGVs) are among various advanced material handling techniques that are finding increasing applications today. They can be interfaced to various other production and storage equipment and controlled through an intelligent computer control system. FMS are well suited for simultaneous production of a wide variety of part types in low volumes. The FMS elements can operate in an asynchronous manner and the scheduling problems are more complex. The use of Automated Guided Vehicle is increasing day by day for the material transfer in production lines of modern manufacturing plants. The purpose is to enhance efficiency in material transfer and increase production. Though the hardware of AGV’s has made significant improvement in the field but the software control of the fleet still lacks in many applications. Both the scheduling of operations on machine centers as well as the scheduling of AGVs are essential factors contributing to the efficiency of the overall flexible manufacturing system (FMS). In this work, scheduling of job is done for a particular type of FMS environment by using an optimization technique called the genetic algorithm (AGA). A ‘C’ programming code was developed to find the optimal solution. When a chromosome is input, the GA works upon it and produces same no. of offsprings. The no. of iterations take place until the optimum solution is obtained. Here we have worked upon eight problems, with different no. of machines and no. of jobs. The input parameters used are Travel Time matrix and Processing Time matrix with the no. of machines and no. of jobs. The results obtained are very quite close to the results obtained by other techniques and by other scholars

Sclerosing mesenteritis - rare cause of abdominal pain and intra-abdominal mass: a case report

Sclerosing mesenteritis is a rare, benign, and chronic fibrosing inflammatory disease with unknown etiology that affects the mesentery of small bowel and colon. The disease has two well-established histological types: the acute or subacute form known as mesenteric panniculitis and the chronic form known as retractile or sclerosing mesenteritis. Because sclerosing mesenteritis lacks special clinical manifestations and typical signs, the patients are very easily misdiagnosed. The correct diagnosis of sclerosing mesenteritis depends on pathological examination after laparotomy. We report a case of sclerosing mesenteritis in a 55-year-old male who presented with chronic abdominal pain and intra-abdominal mass. He was misdiagnosed as lymphoma by Computed Tomography and then underwent exploratory laparotomy. Histopathological examination revealed it to be sclerosing mesenteritis. This patient went well and lives without recrudescence till date

Data Security Using Stegnography and Quantum Cryptography

Stegnography is the technique of hiding confidential information within any media. In recent years variousstegnography methods have been proposed to make data more secure. At the same time differentsteganalysis methods have also evolved. The number of attacks used by the steganalyst has only multipliedover the years. Various tools for detecting hidden informations are easily available over the internet, sosecuring data from steganalyst is still considered a major challenge. While various work have been done toimprove the existing algorithms and also new algorithms have been proposed to make data behind theimage more secure. We have still been using the same public key cryptography like Deffie-Hellman andRSA for key negotiation which is vulnerable to both technological progress of computing power andevolution in mathematics, so in this paper we have proposed use of quantum cryptography along withstegnography. The use of this combination will create key distribution schemes that are uninterceptable thusproviding our data a perfect security.Keywords: Stegnography, Steganalysis, Steganalyst, Quantum Cryptography

Biofuels for Defence Use: Past, Present And Future

Defence sector desires to attain energy self-sufficiency and security. In recent years, emergence of biofuel as an alternative source has raised the hopes of Defence. Ethanol and bio-diesel are currently being used as blends in different parts of the world. While, bio-diesel is mostly being blended in 2-20% in different parts of the world, ethanol blending has reached upto 85%. Owing to the sustainability reasons, the choice of feedstock for ethanol production is gradually changing from corn to lignocelluloses biomass. Jatropha curcas, is still the choice feedstockfor bio-diesel in most third world countries. This institute has put in rigrous efforts to identify high yielding varieties of Jatropha, improving its yield, standardizing trans-esterification to obtain high quality bio-diesel and its trials and testing in various vehicles and equipment. Second generation biofuels using biomass such as farm and forest wastes as feedstocks are promising in terms of their overall sustainability and volume produced. They can be used as drop in fuels. However, time is required to utilize their potential fully. Algae, the third generation biofuel feedstock still needs extensive R&D to make it economically sustainable. Whatever, the technology used, defence forces will accept any biofuel, which should be available constantly and priced below the existing petroleum fuels. The scope of producing by-products and finding a lucarative market for these products can ensure that prices ofbiofuels remain lower than the petroleum fuel

COMPUTER-ASSISTED DRUG DESIGNING OF TRIAZOLE DERIVATIVE OF NOSCAPINE AS TUBULIN-BINDING ANTICANCER DRUG

Objective: Microtubule-interfering drugs are commonly used to treat malignant disorders owing to indispensable role of this cytoskeletal element. These drugs include paclitaxel, docetaxel, and the Vinca alkaloids; however, owing to their non-selective action and overpolymerizing effects, these chemotherapy drugs are confounded by complications with serious toxicity (particularly, peripheral neuropathies, gastrointestinal toxicity, myelosuppression, and immunosuppression) (by taxanes) or depolymerizing effects (by Vincas) on microtubules. Thus, there is urgent need to explore novel tubulin-binding agents that are significantly effective and comparatively less toxic compared to currently available drugs for the treatment of human cancer. The current study focuses fusion of two novel anticancer compounds with low toxicity, i.e., noscapine and triazole to generate a new ligand derivative.Methods: Using computer-aided drug designing approach and molecular docking, molecular interaction of these derivatives with αβ-tubulin heterodimer was confirmed and investigated by molecular docking along with dynamics simulation.Results: A greater affinity of the newly designed ligands for binding to tubulin was predicted. The predictive binding free energy (Gbind,pred) of these derivatives (ranging from −10.5178 to −16.8473 kcal/mol) based on linear interaction energy method with a surface generalized born continuum salvation model showed improved binding affinity with tubulin as compared to the lead compound. natural α-Noscapine (−5.505 kcal/mol). The binding energy of ligand determined using LigX, i.e., MM/GBVI was found to be −23.208 kcal/mol.Conclusion: We found that designed derivative compounds have better efficacy as compared noscapine and triazole

Minimized Group Delay FIR Low Pass Filter Design Using Modified Differential Search Algorithm, Journal of Telecommunications and Information Technology, 2023, nr 3

Designing a finite impulse response (FIR) filter with minimal group delay has proven to be a difficult task. Many research studies have focused on reducing pass band and stop band ripples in FIR filter design, often overlooking the optimization of group delay. While some works have considered group delay reduction, their approaches were not optimal. Consequently, the achievement of an optimal design for a filter with a low group delay value still remains a challenge. In this work, a modified differential search optimization algorithm has been used for the purpose of designing a minimal group delay FIR filter. The results obtained have been compared with the classical techniques and they turned out to be promising

X-ray standing wave characterization of the strong metal–support interaction in Co/TiOx model catalysts

The strong metal–support interaction (SMSI) is a phenomenon observed in supported metal catalyst systems in which reducible metal oxide supports can form overlayers over the surface of active metal nanoparticles (NPs) under a hydrogen (H2) environment at elevated temperatures. SMSI has been shown to affect catalyst performance in many reactions by changing the type and number of active sites on the catalyst surface. Laboratory methods for the analysis of SMSI at the nanoparticle-ensemble level are lacking and mostly based on indirect evidence, such as gas chemisorption. Here, we demonstrate the possibility to detect and characterize SMSIs in Co/TiOx model catalysts using the laboratory X-ray standing wave (XSW) technique for a large ensemble of NPs at the bulk scale. We designed a thermally stable MoNx/SiNx periodic multilayer to retain XSW generation after reduction with H2 gas at 600°C. The model catalyst system was synthesized here by deposition of a thin TiOx layer on top of the periodic multilayer, followed by Co NP deposition via spare ablation. A partial encapsulation of Co NPs by TiOx was identified by analyzing the change in Ti atomic distribution. This novel methodological approach can be extended to observe surface restructuring of model catalysts in situ at high temperature (up to 1000°C) and pressure (≤3 mbar), and can also be relevant for fundamental studies in the thermal stability of membranes, as well as metallurgy

X-ray standing wave characterization of the strong metal–support interaction in Co/TiOx model catalysts

The strong metal–support interaction (SMSI) is a phenomenon observed in supported metal catalyst systems in which reducible metal oxide supports can form overlayers over the surface of active metal nanoparticles (NPs) under a hydrogen (H2) environment at elevated temperatures. SMSI has been shown to affect catalyst performance in many reactions by changing the type and number of active sites on the catalyst surface. Laboratory methods for the analysis of SMSI at the nanoparticle-ensemble level are lacking and mostly based on indirect evidence, such as gas chemisorption. Here, we demonstrate the possibility to detect and characterize SMSIs in Co/TiOx model catalysts using the laboratory X-ray standing wave (XSW) technique for a large ensemble of NPs at the bulk scale. We designed a thermally stable MoNx/SiNx periodic multilayer to retain XSW generation after reduction with H2 gas at 600̊C. The model catalyst system was synthesized here by deposition of a thin TiOx layer on top of the periodic multilayer, followed by Co NP deposition via spare ablation. A partial encapsulation of Co NPs by TiOx was identified by analyzing the change in Ti atomic distribution. This novel methodological approach can be extended to observe surface restructuring of model catalysts in situ at high temperature (up to 1000̊C) and pressure (≤3 mbar), and can also be relevant for fundamental studies in the thermal stability of membranes, as well as metallurgy