Miracle-dz/UniFAR-FTUs huggingface dataset:
Image Inpainting Algorithm for Region Filling Application

— Image Inpainting is the process of reconstructing or retouching an image. It has a wide range of applications including region filling, object removal, denoising, compression, etc. It is an important work done in the field of image processing. This research work has been carried out to reconstruct an old image by filling the spatial information from the surroundings in the damaged portion such as scratches, tampered pages, missing areas and holes. This paper provides details regarding image inpainting using exemplar based method for both structure and texture reconstruction
Litterfall patterns and soil nutrient chemistry in varied tropical deciduous forests

Vegetation affects the nutrient composition of soil through nutrient inputs via litterfall. Nutrient properties and enzyme activities of soils were examined under the influence of litterfall in natural dry miscellaneous forest (DM), natural Sal (Shorea robusta) mixed forest (SM) and a 50-year old commercial Teak (Tectona grandis) plantation forest (TP) in a tropical deciduous forest area of northern India. Annual litterfall was 6.7, 5.9 and 5.0 Mg ha-1 in the DM, SM and TP, respectively. The highest nutrient concentrations (4.46% N, 0.588% P and 0.773% K) were measured in the DM litter and lowest in the TP litter. Soil N, P and K were highest in DM and lowest in the TP forests. Likewise, soil enzyme activity followed the same pattern. In natural forests, higher nutrients might lead to the higher soil nutrient properties and enzyme activities compared to the monoculture commercial plantations.
PERFORMANCE AND ANALYSIS OF REED-SOLOMAN CODES FOR EFFICIENT COMMUNICATION SYSTE

-In wireless communication systems reducing bit/frame/symbol error rate is critical. If bit error rates are high then in wireless communication system our aim is to minimize error by employing various coding methods on the data transferred. Various channel coding for error detection and correction helps the communication system designers to reduce the effects of a noisy data transmission channel. In this paper our focus is to study and analysis of the performance of Reed-Solomon code that is used to encode the data stream in digital communication. The performances were evaluated by applying to different phase sift keying (PSK) modulation scheme in Noisy channel. Reed-Solomon codes are one of the best for correcting burst errors and find wide range of applications in digital communications and data storage. Reed-Solomon codes are good coding technique for error correcting, in which redundant information is added to data so that it can be recovered reliably despite errors in transmission or retrieval. The error correction system used is based on a Reed-Solomon code. These codes are also used on satellite and other communications systems.
An Improved Criterion for Induced  l Stability of Fixed-Point Digital Filters with Saturation Arithmetic

This paper establishes a criterion for the induced  l stability of fixed-point state-space digital filters with saturation nonlinearities and external interference. The criterion is established in a linear matrix inequality (LMI) setting, and therefore, computationally tractable. The criterion turns out to be an improvement over a previously reported criterion. A comparison of the presented criterion with existing criterion is made. Numerical examples are given to demonstrate the usefulness of the proposed approach
SWING UP AND TRANSITION TO OPTIMAL CONTROL FOR A SINGLE INVERTED PENDULUM

Parameter identification and swing up control of a single inverted pendulum is presented. Using Lagrangian method, the mechanical model of system was derived and the parameters were identified via energetic description of system. Energy based strategy for swing up controller and LQR approach for stabilization were implemented. A smooth weighted transition was proposed to hinder overshoot caused by switching from swinging up to stabilization controllers. The model of system was developed and its results were verified by experiments. The proposed weighted transition method was verified to decrease jerk and overshoot in the system. Key wordsOptimal Control, Swing up, LQR, Parameter Identification, Inverted Pendulum
Design And Development Of Prototype Three Level Npc Inverter For Industrial

The requirement of electricity in India is increasing at a high rate. Severe energy crisis has forced the world to develop new and alternative methods such as the use of advanced power electronic systems. Therefore most of the utilities utilizes sufficient electricity and transmit the additional power to grid. One of the methods proposed is solar photovoltaic integrated with the battery storage. Here, solar photovoltaic are integrated with battery using a three level Neutral Point Clamped (NPC) Inverter. A three level Neutral Point Clamped Inverter is integrated using two new configurations or techniques-New Configuration i.e., Space Vector Modulation Technique, which generates balanced capacitor voltage under unbalanced DC voltage. Design and theoretical framework of the modulation technique has been proposed. A new control algorithm has been introduced in order to control the power delivery between the solar PV, battery, grid which uses Maximum PowerPoint Tracking (MPPT) technique.
Evaluation of the morphology structure of meibomian glands based on mask dodging method

Low contrast and non-uniform illumination of infrared (IR) meibography images make the detection of meibomian glands challengeable. An improved Mask dodging algorithm is proposed. To overcome the shortage of low contrast using traditional Mask dodging method, a scale factor is used to enhance the image after subtracting background image from an original one. Meibomian glands are detected and the ratio of the meibomian gland area to the measurement area is calculated. The results show that the improved Mask algorithm has ideal dodging effect, which can eliminate non-uniform illumination and improve contrast of meibography images effectively.
Study and Performance Analysis of a General MIMO-OFDM System for Next Generation Communication Systems

— OFDM may be combined with multiple antennas at both the access point and mobile terminal to increase diversity gain and/or enhance system capacity on a time-varying multipath fading channel, resulting in a multiple-input multiple-output (MIMO) OFDM system. This paper discusses the basic introduction to a general MIMO-OFDM system including the block diagram, governing equation, relevant designing parameters and brief analysis of system performance parameters.
Image authentication and tamper detection using fragile watermarking in spatial domain

— In this paper a fragile watermarking scheme based on adaptive embedding rules is proposed. The watermark embedding and detection rules are applied according to the characteristics of image blocks. In our algorithm we have used gray level variance of image blocks to distinguish it as smooth and unsmooth block. The discrete embedding rules are applied for smooth and unsmooth blocks to improve authentication of the image. In order to access the performance of the proposed scheme copy and paste attack has been applied to the watermarked images. Experimental results have been compared with Hsu and Tu’s [9] method and found significant increase in PSNR of the watermarked images and decrease in False negative rate and False positive rate.
REAL - TIME TRANSPORTATION MONITORING USING AN

Monitoring the transportation operation in real mode of the railway vehicles operating condition is vital. Integrating the Radio Frequency Identification (RFID) technology and Geographic Information Systems (GIS) can facilitate the rail monitoring and keep the railway system stable in th of any potential disturbances. This paper presents a novel method to capture and store information based on the functional parameters of RFID Network Planning correlated with the Geographic Information System combined with the aim of enhancing the search domain to solve the RFID network planning problem based on multi new input representation of tags position. The method was developed by designing a new computational interface board for reading station image information taken from Geographic Information System board will specify the tags type and position based on the bogies longitudinal location. Two types of passive tags will be specified in the board, thermal and vibration tags. Finally the interface board will transfer the data to the cuckoo algorithm to be used as input parameters. The main feature of the present board is the flexibility in specifying the train stations location and distributing the tags along the train automatically. The large, complex, and dynamic RNP network represents method. The second method uses the Gradient optimal reader position and numbers. The selected area is more than 11000 meter square with 3 different locations of train stations. A total of176tags were distributed based on the train location and length. The paper compared the Gradient Cuckoo Search (GBCS) and Cuckoo Search algorithm in order to investigate their performance. The simulation observes Search (GBCS) in tags coverage and reader numbers reducing the interference percentage. The wirelessly to control station for monitoring the rail transportation vehicles at real time.
ENERGY EFFICIENT DATA DETECTION FOR UPLINK MULTIUSER MASSIVE MIMO SYSTEMS

The massive multiuser multiple-input and multiple-output (MIMO) system is widely used in wireless communications considering their reliability and data speed. In multiuser MIMO uplink communications, it is necessary to design linear schemes that can be able to suppress co-channel interferences (CCIs). The optimal and suboptimal data detection algorithms like linear minimum mean square error (LMMSE), coordinate descent method (CDM), etc., may not provide satisfactory bit error rate (BER) performance. Here, we analyze the maximum ratio combining (MRC) receiver for a very large scale multiuser MIMO system under a composite-fading environment. It is developed in the context of an MRC receiver to analyze the mean square error (MSE) parameter with respect to the total training power. Thus with the help of MRC combined with CDM technique, the proposed system results better MSE performance or BER performance.
A STUDY ON CUSTOMERS BEHAVIORAL INTENTIONS TOWARDS ONLINE TRADING SYSTEM IN TIRUCHIRAPPALLI CITY

The Internet revolution has been changing the fundamentals of the society. It changes the shape of communication and also trading process. It shifts closer and closer to vital sources of information and new trading environment by the name of "online trading". It provides users with means to directly interact with service-oriented computer systems tailored to their specific needs; therefore, they can serve themselves better by making their own decisions. There are lots of definitions for online trading. Hereby, four main definitions are mentioned: The increasingly popular activity of buying and selling securities over the internet, or to a lesser extent, through a broker's proprietary software the online trading system can be defined as a process of trading financial products especially stocks over the Internet, and online stock trading site is a web site that helps traders or customers to buy and sell the financial products over the Internet. Also online trading is described as service offered on the internet for purchase and sale of shares. In the real world customers can place orders with stockbroker. In online trading, customers will access a stockbroker's website through internet-enabled PC and place orders through the broker's internet-based trading engine. These orders are routed to the Stock Exchange without manual intervention and executed thereon in a matter of a few seconds, (www.investsmartindia.com) Furthermore there online trading can be defined as placing an order for a trade using the internet. Online trading is not a strategy, but a means to enter a trade. Online trading can be used to enter a short trade or day trade, or a longer-term position in a stock, bond, commodity or option. INTERNATIONAL JOURNAL OF MANAGEMENT (IJM)
Finding Out the Relationship between Employee Income Security Schemes and Performance of Teachers in Primary Schools in Uganda- Ibanda District

This study investigated the relationship between employee income security Schemes and performance of teachers in primary schools in Uganda Ibanda District. The study adopted cross-sectional and correlational research designs on a sample of 155 using a self-administered and an interview guide. Data were analysed using both quantitative and qualitative data methods. The quantitative data analysis methods were descriptive statistics that included frequencies, percentages and means. Inferential analyses were correlation and regression. The descriptive results revealed that performance of teachers was good while employee income security Schemes poor. Inferential results revealed that basic pay had a positive and significant relationship with performance of teachers. The study concluded that employee income security Schemes are the most probable remuneration for the performance of teachers. It was thus recommended that the government and school authorities should establish income security schemes for all teachers.
Cloud Data Security Using Third Party Auditor

Recently, cloud computing changed rapidly the way computing takes place. without any investment the user use cloud storage and other facilities. The user store data on remote server in the data center so there is a security problem concern to the cloud server. This work studies the problem of ensuring the integrity of data storage in Cloud Computing. we also focused on third party auditor (TPA), on the side of the cloud client for verifying the integrity of dynamically stored data on the cloud. Through the auditing eliminates the involvement of the client. General forms of data operation supports the data dynamics such as insertion, and deletion, block modification. Cloud Computing services are not limited to archive or backup data only. so the prior work on remote data integrity frequently lacks the support of either public auditability or dynamic data operations, this paper achieves both. In this firstly we identity the direct extensions security problems with the updated data. and then show how to construct an elegant verification scheme for the seamless integration of these two salient features in our protocol design. For archiving the data dynamic efficiently, manipulating the classic Merkle Hash Tree construction for block tag authentication to improve the storage model of existing system. To support efficient handling of multiple auditing tasks, we further explore the technique of bilinear aggregate signature to extend our main result into a multiuser setting, where TPA can perform multiple auditing tasks simultaneously. Extensive security and performance analysis show that the proposed schemes are highly efficient and provably secure.
A Finite Element Procedure for Analysis of Chemo-Mechanical Coupling Behavior of Hydrogels

Chemo-mechanical coupling behavior of materials is a transformation process between mechanical and chemical energy. In this paper, based on the coupled chemo-mechanical constitutive equations and governing equations during isothermal process, the equivalent integral forms of chemo-mechanical coupling governing equations and corresponding finite element procedure are obtained by using Hamilton’s principle. An isoparametric plane element for chemo-mechanical coupling is associated into ABAQUS finite element package through user element subroutine UEL. The numerical examples exhibit that the ionic concentration variation can cause mechanical deformation and mechanical action can produce redistribution of ionic concentration for hydrogels. It is proved that the present developed chemo-mechanical coupling finite element procedure can be utilized to model the coupling behavior of hydrogels effectively.
FPGA Implementation of Fault Tolerant Parallel Filters Based on Multiple bit Error Correction using Hamming Code

The paper describes about fault tolerant parallel filters based on Hamming Code for multiple bit error correction. This filter is used on the system when is important for reliability. The ECC using in every output bit of the filter and it’s correct the error in output. For multiple bit error correction to use the hamming code as a ECC in this paper. This novel scheme of ECC allows more efficient protection. Another name of this technique is soft error correction. From analysis of the architecture the efficiency of the error correction is more compare to existing system and the leakage power is 0.113W.
Inducible Tolerance to Heavy Metals in Air Borne Bacteria

Airborne bacteria were isolated from three polluted sites around Karachi. Among 30 isolates CMG 921 (Proteus mirabllis), 922 (Pseudomonas putida), 923 (Pseudornonas pseudomallei) and 924 (Yersinia aldovae) were selected and studied. All these strains belonged to Gaddani and were resistant to multiple metals indicating the high level of pollution in Gaddani. These strains were sensitive to most of the antibiotics except ampicillin. It was found that the metal resistant did not involve the outer membrane permeability however the resistance to copper and nickel was inducible. A single band of plasmid DNA of 2 kb was observed in CMG 921 and CMG 922 which have shown the same level of metal resistance. This has suggested that there is a horizontal transfer of plasmid pAN10 from one strain to another and perhaps the metal resistant determinants present on this plasmid.
Differential Response of Human Embryonic Stem and Somatic Cells to Non-Cytotoxic Hydrogen Peroxide Exposure: An Attempt to Model In Vitro the Effects of Oxidative Stress on the Early Embryo

Human Embryonic Stem Cells (hESCs) potentially offer a unique in vitro model to study how an adverse environment during the early developmental stages post-fertilization can affect the physiology of the undifferentiated embryonic stem cells existing in the early embryo and predispose to long term effects on the offspring, according to the Developmental Origins of Health and Disease (DOHaD) concept. A number of unfavourable conditions can affect the development of the early embryo inducing oxidative stress both in vivo, for instance in gestational diabetes and in vitro, when embryos are derived from Assisted Reproductive Technologies (ART). Therefore, the aim of this study was the development of a novel in vitro model to analyse the effects of oxidative stress and the antioxidant response against Reactive Oxygen Species (ROS) in embryonic stem cells in comparison with somatic cells, fibroblasts and endothelial cells. To this purpose we designed an in vitro protocol based on hydrogen peroxide (H2O2) treatment of 72 h, in order to better resemble the period of embryonic development from the early cleavages to the blastocyst stage. We demonstrate that H2O2 treatment induces the modification of crucial oxidative stress biomarkers like ROS and lipid peroxidation levels, and mobilizes several antioxidant enzymes through NFkβ translocation. Moreover we show differences between somatic and embryonic cells in their antioxidant response towards H2O2 induced damage. Therefore this study presents a promising in vitro model to investigate the effects of oxidative stress conditions on early human embryonic cells. *Corresponding author: Maria Barandalla, Avantea srl, via Porcellasco 7/f, 26100 Cremona, Italy, Tel: +39 0372 437242; Fax: +39 0372 436133; E-mail: mariabarandalla@avantea.it Received August 02, 2016; Accepted August 24, 2016; Published August 31, 2016 Citation: Barandalla M, Colleoni S, Lazzari G (2016) Differential Response of Human Embryonic Stem and Somatic Cells to Non-Cytotoxic Hydrogen Peroxide Exposure: An Attempt to Model In Vitro the Effects of Oxidative Stress on the Early Embryo. Cell Dev Biol 5: 177. doi:10.4172/2168-9296.1000177 Copyright: © 2016 Barandalla M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
A NOVEL APPROACH FOR PATTERN ANALYSIS FROM HUGE DATAWAREHOUSE

- Due to the tremendous growth of data and large databases, efficient extraction of required data has become a challenging task. This paper propose a novel approach for knowledge discovery from huge unlabeled temporal databases by employing a combination of HMM and K-means technique. We propose to recursively divide the entire database into clusters having similar characteristics, this process is repeated until we get the cluster’s where no further diversification is possible. Thereafter, the clusters are labeled for knowledge extraction for various purposes.
Implementation and Study of Universal Filtered Multi Carrier under Carrier Frequency Offset For 5 G

OFDM is a matured technology and applied in various wireless standards. However they are not suitable for Uplink and this technology is replaced by SC FDMA in 4G standards. Similarly Universal Filtered Multicarrier Communication (UFMC) is another suitable technology for Multi user Uplink and for applications like cognitive radio. UFMC is a new, non-orthogonal, waveform designed by Alcatel Lucent Labs which provide a much more efficient way of enabling networks to serve both broadband users and very narrowband “short data” devices such as any embedded sensor or M2M module. In UFMC the filtering of waveform is done on a group of subcarriers. In OFDM it is done on the whole subcarriers together. This reduces the side lobe levels, inters carrier interference (ICI) and requires reduced filter length. Moreover Internet-of-Things where Machine-Machine communication and applications where very tight response in time requirements are needed, OFDM miserably fails. We examine impact of carrier frequency offset on the performance of the proposed scheme and compare the results performance of cyclic prefix based orthogonal frequency division multiplexing(CP-OFDM) system. -
CSG Cluster: A Collaborative Similarity Based Graph Clustering for Community Detection in Complex Networks

: Many real-world social networks exist in the form of the complex network, which includes very large scale structured or unstructured data. The large scale networks like brain graph, protein structure, food web, transportation system, WorldWide Web, online social network are sparsely connected globally anddensely connected locally. For detectingdensely connected clusters from complex networks, graph clustering methods are useful. Graph clustering performs through partition a graph based on edge cut, vertex cut, edge betweeness, vertex similarities, topological structure of graph. Most of the graph clustering methods predominantly emphasis on topological structure of graph and not bearing in mind the vertex properties/attributes or similarity based onindirectly connected vertices. In this paper, we propose a CSGCluster, a novel collaborative similarity based graph clustering methodfor community detection ina complex network. In this, we introduce concepts, Approachable Unitto find similaritiesfor directly connected vertices andintroduced shortest path strategy for indirectlyconnected vertices and based on that a graph clustering method,CSG-Cluster is presented. For this, a new collaborative similarity approach is adopted to computevertex similarities. In the CSG-Cluster method, weform a group of vertices based on distance measures based on calculated similarity with the help of K-Medoids framework. Performs experiment on two real datasets with other relevant methods in whichresults shows the effectiveness of CSG-Cluster.This idea is suitable for graph database to apply collaborative similarity during query processing.