Volume 5 | Issue 4

 Abstract

Pollution of waterbodies such as lakes, river, and ponds etc. due to the presence of heavy metals increases upto a greater extent and become a key environmental problem throughout the entire world. Conventional methods for the removal of metal ions from aqueous system are very expensive, time taking, less effective and are not eco- friendly because they produced huge amount of toxic chemical compounds. Biosorption is better alternative technique to conventional treatment method for the biodegradation and removal of metal ions from aqueous system. Biological materials (Biosorbent) have been used as for the biosorption of metal ions from wastewater. In the present investigation, the capability of living biomass of Rhizopus arrhizus for the biosorption of lead metal was studied. Living biomass of Rhizopus arrhizus (100 mg and 200 mg) and contact time of 15 minutes indicates the most appropriate dose and time period for adsorption of lead metal ions. For the adsorption of lead metal solution, maximum adsorption capacity of 100 mg Rhizopus arrhizus biomass was observed as 94.70% at the 80ppm concentration. In case of 200 mg fungal biomass, 98.47 % metal removal was noticed at the 80ppm metal concentration. The maximum specific uptake (Q value) was 37.88 at 80ppm concentration in case of 100 mg biomass. In case of 200 mg biomass, the maximum Q value 19.694 was noticed at 80ppm concentration lead. Present study showed that 100 mg and 200 mg living biomass of Rhizopus arrhizus acts as a effective biosorbent for the adsorption of lead metal ions.

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Rhizopus arrhizus, biosorption, contact time, heavy metals, lead metal, specific metal uptake (Q value)

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Non-traditional machining method such as Electrical Discharge Machine (EDM) die sinking process is proposed to produce intricate shape with tight tolerance on mild steel. Response Surface Methodology (RSM) technique is applied for the machining of mild steel work piece using copper as electrode. Response Surface Methodology is adopted to establish effects of various process parameters such as Peak current (Ip), Pulse on time (Ton) and Gap voltage (Vg) on two important responses like Material Removal Rate (MMR) and Surface Roughness (Ra) of component.

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Electric Discharge Machining (EDM), desirability approach, Mild steel, Response Surface Methodology (RSM) and Material Removal Rate.

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 Abstract

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Higher education, faculty development, Institutional support, Quality Assurance

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Orthogonal Frequency Division Multiplexing (OFDM) is one of the most widely used techniques in broadband communication. But main disadvantage of OFDM is high PAPR. Separately IDWT and Data compression coding can reduce PAPR significantly .But we can reduce more PAPR using combination of IDWT and one of Data Compression method i.e. Run Length Coding. In this paper we compare PAPR of combined method of Run-Length Coding and IDWT signal with original signal.

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OFDM, PAPR, Run-length Coding, IDWT

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 Abstract

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Library Automation, Computerization

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This paper traces the current scenario of higher education and library and information science education in the context of globalization. This also describes the different patterns and levels of LIS education, as well as the research programmes and trainings being offered by various universities, in India. Provides an overview of the institutions providing present LIS courses at various levels through regular courses and distance mode. Emphasizes the need for having innovative approaches for reforming LIS education. Discusses the problems and emerging issues affecting the status of LIS education and suggests ways to solve these problems and the approaches to prepare the LIS professionals to face the growing challenges for the job market Changing paradigms of library and information science education in India in the context of globalization Lists universities and colleges providing postgraduate LIS education in India through regular and distance mode.

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Library and Information Science Education; India.

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 Abstract

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Li-Fi(Light Fidelity), Vocatus detection(alcohol detection), k-NN algorithm.

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Botmaster, Botnet, C&C channels, click streams, spamming, compromised account, behavioural features.

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Big data, Virtual shuffling, Data partitioning, Attribute based encryption.

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Hybrid Recommender System, Bias, Similarity, Filtering algorithms, Resolving bias in Recommender Systems.

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This research proposes a new Big File Cloud (BFC) with its architecture and algorithms to solve difficult problems of cloud-based storage using the advantages of key-value stores. There are many problems when designing an efficient storage engine for cloud-based storage systems with strict requirements such as big-file processing, lightweight meta-data, low latency, parallel I/O, deduplication, distributed, high scalability. Key value stores have many advantages and outperform traditional relational database in storing data for heavy load systems. This paper contributes a low-complicated, fixed-size meta-data design, which supports fast and highly-concurrent, distributed file I/O, several algorithms for resume able upload, download and simple data deduplication method for static data. This research applies the advantages of ZDB - an in-house key-value store which was optimized with auto-increment integer keys for solving big-file storage problems efficiently. The results can be used for building scalable distributed data cloud storage that support big-files with sizes up to several terabytes.

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Cloud computing, Servers, Distributed databases, Metadata, Mobile communication, Google, Complexity theory.

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The sound locale of emergency association has been in the purpose of joining of thought for different demands particularly the item constructing. In the data focused and PC driven world, a basic motivation behind PC authorities is to oversee and dismantle Big Data, remove data from heterogeneous sources and store it in joined structure deals with that permit in addition dealing with. In this paper, Big Data examination techniques and instruments that are imperative in all seasons of emergency association are appeared. What's more, a structure arranging arrangement of an essential information association structure will be bankrupt down that contains four stages; information age, information securing, information storing up, and information examination. Purposes of enthusiasm of the utilization of Big Data for emergency association are reviewed. An imaginative perspective of open issues concerning Big Data in emergency association is shown.

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Big data analytics, crisis and disaster management.

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In Hadoop condition fundamentally we are performing has two segments in particular HDFS and MapReduce. Hadoop stores client information in view of room use of datanodes on the group as opposed to the handling capacity of the datanodes. Here Hadoop keeps running in half and half condition as all datanodes may not be same framework. Hence, workload irregular characteristics will happen when occupations keep running in a Hadoop group bringing about poor execution. So that here I propose a dynamic calculation to adjust the workload between various racks on a Hadoop group in view of the log documents of Hadoop. In any case, if the assignments are executing on basic or delicate information in a secured rack, the information exchange to an unsecured bunch will bring about protection being bargained. We propose a way to deal with exchange information between racks without revealing private data. Moving undertakings from the most over-burden rack to another rack enhances the execution of MapReduce employments. Our reenactments show that the proposed calculation diminishes running time of an occupation by over 50% running on the most over-burden rack

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Hadoop, Dynamic Workload Balancing, Privacy, rack based data arrangement

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There is a unity and variety in India. Many writers contribute for Indian writing in English. It has been originated from Anglo-Indian Literature, which is a product of Indo-Anglian relations. As a result Indian writing in English is greatly influenced by writing in England. It led to the creation of a new nation and new people. It causes privileges, responsibilities, advantages and dangers. There was a rapid growth of the usage of English language in all the fields. It causes Indian Writing in English as a distinctive literature. Both the advantages and disadvantages are balanced by seeing more English and English men in India. Indians tried to habituate western culture which led to sustained and stimulated life. Initially Indians focused on reading, speaking and listening. Later they started writing in English. As a bridge between India and England, Raja Rammohan Roy caused the renaissance in modern Indian literature. He opined Indians must have traditional strength with the new scientific disciplines. Rammohan Roy as well as others took part for Indian writing in English. New life is seen by starting Hindu or native schools. This new situation challenges the west. Ramakrishna Paramahamsa from Bengal tried to protect Indian culture. Actually he was an ignorant of English. After the death of Ramakrishna Paramahamsa his chief disciple Swami Vivekananda started the Ramakrishna Mission. He made some of the verse renderings from his own Bengali. One English journal has been started at the Mission. A large number of Indians have been writing in English to protect Indian culture and adopt western culture since the recognition of English language.

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 Keywords

Commonwealth-Anglo-Indian-education-independence-international-medium-instruction-administration-communication-distinctive-heritage-civilization-transformation- utilitarian-ambitious-prominent-obvious-phenomenon-renaissance-dialectical-integration- strength-scientific-verse-prose-publish-missionary-simplicity-lucidity-western- ignorant- volumes-renderings-English-journal-pellucid-volume-writing-illustration

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Internet plays gradually a more crucial role to connect information and people, the pressure has continued to rise on markets which have already employed online services, and especially on markets to which selling products online is novel. The trend of the retailing store is changing as a growing number of retailers are shifting their focus from general brick and mortar retailing to new formats such as electronic retailing or e-tailing. The study depicts the expectation of a customer while buying groceries online and in physical market is totally different. The study reveals that the major reason for purchasing groceries online is saving time and effort and there are no time restrictions on shopping.

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Keywords- Internet, physical market, online services, e-tailing.

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Aquaponics, Protein Sources, Feed Formulation, Fish Habitat.

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With the impulsive growth of social media on the Web, individuals and organizations are more and more using public opinions for their decision making. The opinionated text retrieved from protracted forum postings, discussion rooms, chats and blogs. It is difficult for the average human reader identifying relevant posts and summarizing the information accurately. Moreover, it is human pschycology that people often pay superior attention to opinions that are harmonizing with their own preferences. As there are ample of sites available, extracting the factual information is a challenging task, rather than, finding relevant information on the Web. Keeping in the mind, the easy accessibility of the reviews and the significant impacts in the digital market, there is an increasing support to manipulate the reviews, mostly profit driven. In near future, spam reviews will damage the entire online review systems and finally cause a gradual loss of credibility. Hence, the first step towards securing the online review system is detecting the spam reviews.There are no clear hints or signs from the text of the reviews that it is real or fake. Web Mining and Machine learning techniques both put forward an inspiring contribution to detecting fraudulent reviews The key objective of this paper is to provide a strong and comprehensive analysis on current research and detecting review spam machine learning techniques.

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 Keywords

Web mining; Review spam; Opinion mining; Machine learning; Clustering

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 Abstract

This project comprises of circular display of a string of LEDs. Using a high speed motor and some mechanical assembly, LED string mounted on a printed circuit board are duly interfaced to a microcontroller. An appropriate program while executed drives a pair of single line LEDs in space multiplexing mode. This displays some message and or a clock timing taking advantage of persistence of vision of human eye. Without the single line of LEDs in space multiplexing mode if one would have to display a message, number of LEDs as high as around 525 would have been used. Here the project uses only 8 LEDs. Thus material count, hardware requirement, brings the overall cost to very affordable price. The synchronizing is being implemented through software.

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Now a day, Electroencephalography (EEG) in very popular in research field. Although researchers are doing research in EEG and designed their own technique for feature extraction like independent component analysis (ICA), discrete wavelet transform, fast fourier transform, power spectral density (PSD), empirical mode decomposition (EMD), Cluster analysis, Hilbert-Huang transform, Principal Component Analysis and Local Discriminant Bases still illustration by specialist is required. To locate the artifacts and extract them from real EEG signal by the use of proficient algorithm is challenge for researchers and doctors. This paper discusses the various techniques along with restrictions of EEG feature extraction techniques.

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Electroencephalography, Feature Extraction Techniques, Independent Component Analysis, Discrete Wavelet Transform, Cluster Analysis

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 Abstract

: Software cost estimation is the process to predict the complete cost required to develop a software. Many estimation techniques have been proposed since last 3 decades. The software cost estimation is mostly depends upon the estimation of software efforts and time required to develop the software. Accuracy of software cost estimation is completely depends upon how accurately the size and effort should calculated. Software cost estimation techniques. Mostly classified in algorithmic, non- algorithmic and machine learning. Each has its own specific strengths and weaknesses. A selection factor in cost estimation techniques is the accuracy of its estimates. In most of the cases the pre-experience with estimation model following with similar kind of software project is consider as a prime factor for to estimates the cost of software systems. The accuracy of these models is not satisfactory. The objective of this paper is provides a general overview of various relevant software cost estimation techniques with their aspects. Paper includes various cost estimation techniques discussed with their performance and their uses.

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Project estimation, Effort estimation, Cost model, Cost accuracy, Prime factors.

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Creative Commons Attribution 4.0 and The Open Definition