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The environmental impact and building up toxicity of heavy metals have been a cause of great concern in recent years. This has given rise to a significant increase of studies with the objective of effectively developing alternative technologies for the removal of substances from industrial effluents that are potentially noxious to the environment. Biosorption can be a piece of the arrangement. A few sorts of biosorbents, for example, ocean growth, molds, yeasts, microorganisms or crab shells are instances of biomass tried for metal biosorption with empowering results. Ocean growth offer points of interest for biosorption on the grounds that their naturally visible structures offer an advantageous reason for the creation of biosorbent particles appropriate for sorption process applications. In the present paper a detailed study has been carried out to find a suitable bionano absorbent extracted from various seaweeds which is abundantly available in the coastal area of Thondi and characterized by UV and FTIR and TEM techniques.

Ergonomics involves a multidisciplinary approach that requires knowledge from several branches of engineering and sciences. The paper proposes a literature survey on computer-integrated techniques for the identification of industrial ergonomic factors. The motivation behind the paper is to review the applications of software packages in research papers of different authors to design the industrial workplace. The increasing complexity of industrial ergonomics is continuously evolving new challenges for the researchers. Ergonomics aims at safety, health, and efficiency of the worker. Therefore, the accessible evaluation instruments and strategies should risk chance variables that are in charge of musculoskeletal issue. It is important to check just the accessibility of techniques and apparatuses that consider the most up and coming. The article will subsequently break down and evaluate the powerful modeling and simulation software packages and programs. In the light of these observations, the authors find diverse applications of various programs. The computerized human model, likewise manikin, is a key some portion of human displaying programming. Digital human modeling (DHM) is an advanced representation of the human embedded into a virtual environment to encourage expectation of well-being as well as execution. The examination of the literature uncovers qualities of the methodologies, which have been connected by a few researchers to enhance the viability of people in their working environment. General, perception considers costs, capacity, and versatility for the best option to the needs for establishing intervention. This review summarizes the results of analyzing 83 papers, articles, and books. From this literature review, we ended up recognizing the role of software in the implementation of several software packages on workplace environment for the safety and efficacy of the worker.

The objective of the paper is to apply Multi-criterion Decision Making methods in manufacturing specially in machining using EDM and to obtain an optimal setting of process parameters resulting in an optimal value of the material removal rate and tool wear rate while EDM for Inconel 718 using copper cadmium as electrode Taguchi L9 array has been used to design the experiments, the results are further analyzed using Multi-criterion Decision Making techniques named Technique for order preference by similarity to ideal solution TOPSIS and Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) to investigate the multi-optimization of response characteristics for Inconel 718.

The present rate of economic growth is unsustainable without saving of fossil energy like crude oil, natural gas, or coal. There are many alternatives to fossil energy such as biomass, hydropower, and wind energy. Also, suitable waste management strategy is another important aspect. Development and modernization have brought about a huge increase in the production of all kinds of commodities, which indirectly generate waste. Plastics have been one of the materials because of their wide range of applications due to versatility and relatively low cost. The paper presents the current scenario of the plastic consumption. The aim is to provide the reader with an in depth analysis regarding the recycling techniques of plastic solid waste (PSW). Recycling can be divided into four categories: primary, secondary, tertiary, and quaternary. As calorific value of the plastics is comparable to that of fuel, so production of fuel would be a better alternative. So the methods of converting plastic into fuel, specially pyrolysis and catalytic degradation, are discussed in detail and a brief idea about the gasification is also included. Thus, we attempt to address the problem of plastic waste disposal and shortage of conventional fuel and thereby help in promotion of sustainable environment.

In competitive world, it becomes essential for the firms to consider the risks and uncertainties as the core concerns. To control the risks, various strategies like multiple sourcing, horizontal/ vertical integrations, buffer stocks etc are employed. But, out of many available risk mitigation strategies, SMEs usually prefer to keep excess safety stocks to manage the operational risks as they have feeble control and position in supply chain as well as limited means to employ other strategies, which requires skills and resources. Keeping appropriate safety stocks becomes a very complex and crucial problem for SMEs as excess stocks reduces the efficiency and shortage of it may make their position vulnerable in supply chains. Concerning to this issue, this paper focuses on operational risks with SME perspectives and explores the appropriate safety inventory levels using artificial neural network models and the results are further simulated with various settings of risk scenarios.

Free Space Optics (FSO) Communication is one of the innovative techniques in the arena of Wireless Communication. FSO is not only supernumerary scheme of the RF Technology payable to its prodigious bandwidth but besides owed to fiber cable deployment interval and budget restraint. In this paper we calculated the altered parameter on the origin of altered weather atmosphere, to regulate which weather ailment is more/less affect the connexion of the FSO. Furthermore, consequence of wavelength beneath altered weather scenario has been deliberated. The results based on altered wavelength (i.e. 1300 nm, 1550 nm) painstaking the altered weather circumstance have been associated with the obtainable result.

Civil infrastructures such as bridges, highways and buildings are important components of any region and their health should be monitored. Sensor networks can be used to assess the infrastructure conditions. These networks can consist of up to thousands of different sensors and continuously generate large amounts of data. Analyzing the data to find anomalies in a timely manner is very critical, as it can prevent disasters from occurring. A reliable integrated system that efficiently incorporates and analyses data from sensors must be designed. This paper proposes an architecture that envisions the deployment of a sensor network, collecting data of various physical parameters. Stochastic models, incorporating data from all sensors, were generated. A meta-heuristic algorithm solved the models for several scenarios and successfully identified anomalies. The proposed methodology aims to identify anomalies, which allows appropriate preventive actions in timely manner.

Now a days the wireless technology has become popular in the wireless system. FSO is a technology that uses the visible to near infrared (NIR) light propagating through the atmosphere to transmit information. FSO communications are attracting attention as the contemporary engineering science to resolve the last mile bottleneck issues in local area access networks due to their high bandwidth, low cost implementation in a non-licensed spectrum, relatively low power using up and security compared with RF technologies. Equally we know that the free space optical communication is extremely impressed by the various atmospheric conditions which cause the degradation of the carrying out of FSO link. This report introduces the study of the issue of the various atmospheric conditions on the FSO link. This report includes the result of the fog by analysis the various fog models such as Kim Model, Kruse Model. And also analysis the wet and dry snow over the FSO links.

Iris recognition is a rapidly growing, widely accepted biometric authentication and an interesting field of research. This paper proposes a novel technique for reducing FRR using Feature Similarity Index Measure (FSIM). In the proposed algorithm, a matching coefficient is generated that gives the estimate of that sample image, best suitable for further processing. Analysis of the results has been performed by calculating the number of correct matches of the subject from the CASIA-Iris v.3 Lamp database. The results prove that the proposed algorithm reduces the False Rejection Rate in Iris Recognition System.

The recent disturbing events across the globe such as climatologic disasters, epidemics, political instability, terrorism and financial scams have emanated the potential risks to global supply chains practices. Apart this the inclination towards the efficient strategies like lean practices, lower inventories, outsourcing and single sourcing are also making the supply chains vulnerable to dependency risks. Supply chains can be disrupted at supply side, customer side or at the focal firm locations during the processing, but the associated criticality is that the severity of the risks propagates through supply chains and deteriorates the performance of not only the one firm but the entire network. This paper examines risks to the supply side primarily focusing on lower tier suppliers which are usually the small medium enterprises. In this study elements of system reliability and product availability are estimated with the infrastructural risks of lower tier suppliers to develop a combined risk assessment index under demand and supply uncertainties. This approach can further be enhanced to rank suppliers and to assess overall supply chain performance.