bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative Study of Different Image Enhancement Techniques
Authors: Garg Saruchi , Lal Madan 
Published: May 2018

The main purpose of image enhancement is to bring out detail that is hidden in an image or to increase contrast in a low contrast image. Image enhancement techniques provide a multitude of choices for improving the visual quality of images. Appropriate choice of such techniques is greatly influenced by the imaging modality, task at hand and viewing conditions. This paper analyses the performance of some of existing image enhancement algorithms. The performance of algorithms are evaluatedÂ both qualitatively and quantitatively.
Providing Security in Data Aggregation using RSA algorithm
Authors: Singh Sukhpreet , Saurabh Er. Kumar 
Published: May 2018

The RSA algorithm proposed by Rivest, Adi Shamir and Leonard Adleman is cryptography technique. The current problem with wireless sensor network is how to protect theÂ security of the sensor data. RSA algoritm is used as a digital signature authentication in the field of security, basically works on deciding encryption variable. In this also the basic concept is to decide a description variable and then decide the description variable using same encryption variable. It is a secure and fast cryptographic system. The major effort will be applied on the RSA encryption technique in order to make node authenticated as well as to secure data while dealing with aggregation.
Design of IIR Filter using Remez Algorithm
Authors: Gupta Aashu , Lamba Dr. Vijay , Verma Er. Munish 
Published: May 2018

In this paper, we present a numerical method for the equiripple approximation of Impulse Infinite Response digital filters. The proposed method is based on the formulation of a generalized eigenvalue problem by using Rational Remez Exchange algorithm. In this paper, conventional Remez algorithm is modified to get the ratio of weights in the different bands exactly. In Rational Remez, squared magnitude response of the IIR filter is approximated in the Chebyshev sense by solving for an eigenvalue problem, in which real maximum eigenvalue is chosen and corresponding to that eigenvectors are found, and from that optimal filter coefficients are obtained through few iterations with controlling the ratio of ripples.Â The design algorithm is computationally efficient because it not only retains the speed inherent in the Remez exchange algorithm but also simplifies the interpolation step.
SHORT TERM WIND SPEED PREDICTION USING A NEW HYBRID MODEL WITH PASSIVE CONGREGATION
Authors: Aboueldahab Tarek Abdelwahab 
Published: May 2018

Short term wind speed predicting is essential in using wind energy as an alternative source of electrical power generation, thus the improvement of wind speed prediction accuracy becomes an important issue. Although many prediction models have been developed during the last few years, they suffer a poor performance because their dependency on performing only the local search without the capability in performing the global search in the whole search space. To overcome this problem, we propose a new passive congregation term to the standard hybrid Genetic Algorithm / Particle Swarm Optimization (GA/ PSO) model in training Neural Network (NN) wind speed predictor. This term is based on the mutual cooperation between different particles in determining new positions rather than their selfish thinking. Experiment study shows significantly the influence of the passive congregationÂ Â term in improving the performance accuracy compared to the standard model.
Segmentation of Touching Hand written Telugu Characters by using Drop Fall Algorithm
Authors: Srinivasa Rao Adabala Venkata , Sandeep D R , Sandeep V B , Jaya S Dhanam 
Published: May 2018

Recognition of Indian language scripts is a challenging problem. Work for the development of complete OCR systems for Indian language scripts is still in infancy. Complete OCR systems have recently been developed for Devanagri and Bangla scripts. Research in the field of recognition of Telugu script faces major problems mainly related to the touching and overlapping of characters. Segmentation of touching Telugu characters is a difficult task for recognizing individual characters. In this paper, the proposed algorithm is for the segmentation of touching Hand written Telugu characters. The proposed method using Drop-fall algorithm is based on the moving of a marble on either side of the touching characters for selection of the point from where the cutting of the fused components should take place. This method improvers the segmentation accuracy higher than the existing one.
Authentication Based Cloud Storage and Secure Data Forwarding
Authors: S Rajasekaran , Y Kalifulla. , S Murugesan. , M Ezhilvendan. , J Gunasekaran. 
Published: May 2018

cloud storage system, consisting of a collection of storage servers, provides long-term storage services over the Internet.Â Storing data in a third partyâ€™s cloud system causes serious concern over data confidentiality. General encryption schemes protect data confidentiality, but also limit the functionality of the storage system because a few operations are supported over encrypted data. Constructing a secure storage system that supports multiple functions is challenging when the storage system is distributed and has no central authority. We propose a threshold proxy re-encryption scheme and integrate it with a decentralized erasure code such that a secure distributed storage system is formulated. The distributed storage system not only supports secure and robust data storage and retrieval, but also lets a user forward his data in the storage servers to another user without retrieving the data back. The main technical contribution is that the proxy re-encryption scheme supports encoding operations over encrypted messages as well as forwarding operations over encoded and encrypted messages. Our method fully integrates encrypting, encoding, and forwarding. We analyze and suggest suitable parameters for the number of copies of a message dispatched to storage servers and the number of storage servers queried by a key server. These parameters allow more flexible adjustment between the number of storage servers and robustness.
EVALUTION AND CALIBRATION OF MINIATURE CIRCUIT BREAKER
Authors: Singh Ramandeep , Singh Baljinder 
Published: May 2018

The purpose of this paper is to examine the significant developments in MV and LV switchgear technology over the last few decades and why they are only recently beginning to benefit the users. A recent development now has sufficient field experience to show how through innovative design it has been possible to vastly improve an auto-reclosing circuit breaker. The author believes that the same innovative ideas will soon be applied to all types of switchgear. Â The next generation of military switchgear is likely to be developed for the Electric Warship. Irrespective of which distribution supply is used the next generation of switchgear should benefit from the new technology. Calibration of Miniature Circuit Breaker takes a lot of time. Calibration is done to satisfy the International Standards so that all the MCBs are standardized. In this paper we concerned with decreasing this calibration time of MCBs whose rated current is less than or equal to 32 Amps. Calibration can be done by two methods, wiz, and Dual current and single current parameter method. This paper also deals with the decrease in the Calibration time and increase in Production efficiency by the use of later method which is a modification of the former one proposed and implemented here. This is done by employing faster motor for the calibration. Â A recent development now has sufficient field experience to show how through innovative design it has been possible to vastly improve an auto-reclosing circuit breaker. The author believes that the same innovative ideas will soon be applied to all types of switchgear.
EFFICIENT TECHNIQUE FOR AUTOMATIC EXTRACTION AND IDENTIFICATION OF ELEVATION FROM A REFERENCE IMAGE
Authors: Pradhan Mohan Pratap , Ghose Mrinal Kanti , Mittal Gourav 
Published: May 2018

In Geographic information system (GIS) identification of elevation detail pertaining to a contour in a reference map or topological map plays an important role while creating digital elevation model or digital surface model of a terrain. Traditional technique involving manual identification of elevation demands greater effort and time where in one needs to tediously identify and enter the elevation value. These identified elevations can be later used for creating digital elevation model. In order to reduce the complexity involved in same, effective and efficient automated technique can be devised that identifies the elevation associated with a contour. In addition the automated technique should also ensure correctness and reliability of the elevation details identified. The alignment of elevation details in the feature space adds to the complexity of the problem. Over years several techniques have been proposed based on object oriented technique and pattern detection. Â This proposed work introduces a novel rotation invariant technique for identifying number associated with contours taking into consideration friend pattern chain of the significant pixels representing a digit in a number.
Security Test by using F T M and Data Allocation Strategies on Leakage Detection
Authors: Radha Pallavali , Sireesha G. 
Published: May 2018

The data distributors work is to give sensitive data to a set of presumably trusted third party agents.The data i.e., sent to these third parties are available on the unauthorized places like web and or some ones systems, due to data leakage. The distributor must know the way the data was leaked from one or more agents instead of as opposed to having been independently gathered by other means. Our new proposal on data allocation strategies will improve the probability of identifying leakages along with Security attacks typically result from unintended behaviors or invalid inputs. Â Due to too many invalid inputs in the real world programs is labor intensive about security testing.The most desirable thing is to automate or partially automate security-testing process. In this paper we represented Predicate/ Transition nets approach for security tests automated generationby using formal threat models to detect the agents using allocation strategies without modifying the original data.The guilty agent is the one who leaks the distributed data. To detect guilty agents more effectively the idea is to distribute the data intelligently to agents based on sample data request and explicit data request. The fake object implementation algorithms will improve the distributor chance of detecting guilty agents.
Analysing The Quality Attributes of AOP using CYVIS Tool
Authors: Garg Hinam , Garg Mohit 
Published: May 2018

The aim of thesis is to provide the difference between AOP and OOP in AspectJ by using CYVIS tool. It gives a way to separate the code from essential crosscutting concerns, such as logging and security, from Java programs core application logic cleanly by making code more readable, less error-prone, and easier to maintain. It also solves the problem of code scattering and code tangling by providing the aspect to crosscutting concerns (concerns which are repeated again and again). In this paper, aspect oriented programming is shownÂ better than OOP by considering cyclomatic complexity Â and overcoming all those problems which were occurring in OOP. Two examples such as banking system and conversion of int and float values to hexadecimal are illustrated and shows the difference of quality attributes in AOP than OOP.
Survey paper on intrusion detection techniques
Authors: Kulhare Rachna , Singh Dr. Divakar 
Published: May 2018

Network security has been one of the mostÂ important problems in Computer Network Management and Intrusion is the most publicized threats to security. In recent years, intrusion detection has emerged as an important field for network security. IDSs obtain better results when each class ofattacks is treated as a separate problem and handled by specialized algorithms. Now in days various model and method are available for intrusion detection. In this paper, we present a study of intrusion detection. Detection method to improve the detection rate & helping the users to develop secure information systems.
Comparison of dispersion compensation with Fiber Braggs Grating at Transmitter and Receiver end of a single channel optical communication system
Authors: Sharma Er. Abhishek , Singh Er. Sukhbir , Thakur Er. Rajeev , Sharma Er. Bhubneshwar 
Published: May 2018

Optical fibers are used to transmit the light signal in optical communication system. When the light pulses propagates down the fiber, the pulses spreading takes place, and this phenomenon is called Pulse Dispersion. Dispersion is the main factor which affects the performance of fiber in optical fiber communication system. Dispersion can be compensated by many ways. Dispersion compensation by FBG (fiber bragg grating) is studied in this paper. Dispersion compensation by FBG along EDFA plays a very important role in dispersion compensation. When FBG is used after EDFAÂ at transmitter side (before fiber)in single channel optical communication system then it gives better performance (less BER) as compare to when FBG used after EDFA at receiver end (after fiber). In this paper performance of system is investigated by using FBG after EDFA at both transmitter side (before the fiber) and receiver side (after the fiber). For 50km BER reduces from 1.28559e-111 (FBG after EDFA at receiver side) to 9.57499e-201 (FBG after EDFA at transmitter side).
Outlier Analysis of Categorical Data Using Infrequency
Authors: Dirisinapu Lakshmi Sreenivasareddy , Mudumbi Krishna Murthy , Aliseri Govardhan 
Published: May 2018

Anomalies are those objects, which will act with different behavior and do not follow with the remaining records in the databases. Detecting anomalies is an important issue in many fields. Though many methods are available to detect anomalies in numerical datasets, only a few methods are available for categorical datasets. In this work, a new method has been proposed. This algorithm finds anomalies based on infrequent itemsets in each record. These outliers are generated by Apriori property on each record values in datasets. Previous methods may not distinguish different records with the same frequency. These give same score for each record. For each record a score is generated based on infrequent itemsets which is called MAD score in this paper.Â This algorithm utilizes the frequency of each value in the dataset. FPOF method is used the concept of frequent itemset and otey method used infrequent itemset. But these cannot distinguish records perfectly. The proposed algorithm has been applied on Nursery dataset and Bank dataset taken from â€œUCI Machine Learning Repositoryâ€. Numerical attributes are excluded from Datasets for this analysis. The experimental results show that it is efficient for outlier detection in categorical dataset.
Prognostic Load Balancing Strategy for Latency reduction in Mobile Cloud Computing
Authors: Cheema Ibrahim A. , Ahmad Mudassar , Jan Fahad , Bin Ngadi Dr. Asri 
Published: May 2018

In Mobile Cloud Computing (MCC), load balancing is essential to distribute the local workload evenly across all the nodes either statically or dynamically. A high level of user satisfaction and resource utilization ratio can be achieved by ensuring an efficient and fair allocation of all computing resources. In the absence of proper load balancing strategy/technique the growth of MCC will never go as per predictions. The appropriate load balancing helps in minimizing resource consumption, implementing fail-over, enabling scalability, avoiding bottlenecks. In this paper, a prognostic load balancing strategy is proposed and implemented for computational latency reduction in MCC. Also the results of proposed technique is compared with existing techniques. Finally this study concludes that the proposed predictive technique reduces associated overheads, service response time and improves performance. There are also Various parameters that are identified and used to compare the existing techniques.Â Â
A NOVEL SYNTHETIC PROTOCOL FOR THE BIS-TRIAZOLONES DERIVATIVES THROUGH CORRESPONDING N1-ETHOXYCARBONYL-N1-TOSYLHYDRAZONATES
Authors: Ben Salah Bochra , Hamzaoui Salwa , Rekik Awatef , Kossentini Mohamed 
Published: May 2018

A simple method has been developed for the synthesis of bis-triazolones 2a-n starting from N1-ethoxycarbonyl-N1-tosylhydrazonates 1 and aliphatic diamine. It affords a number of bis-triazolones 2a-n in reasonable yields. The structures of all new compounds were elucidated using infrared, 1H and 13C NMR studies as well as elemental analysis. Some of these reactions provide successful means to produce biologically important structures.
1,3,4-Oxadiazole Dimers: New and Effective corrosion inhibitors for mild steel in sulphuric acid solution
Authors: P Sounthari. , A Kiruthika. , J Saranya. , K Parameswari. , S Chitra. 
Published: May 2018

The corrosion inhibition property of 1,3,4-Oxadiazole dimers have been investigated for mild steel in acidic environment using gravimetric method, Tafel polarization, electrochemical impedance spectroscopy (EIS), scanning electron microscope (SEM), atomic absorption spectroscopy (AAS) and adsorption isotherm. The results revealed that 1,3,4-Oxadiazole dimers had excellent corrosion inhibition property for mild steel in 1M H2SO4 acid media and its inhibitive efficiency was more than 99% even with a low concentration of 1000ppm.The adsorption of the organic compounds on the mild steel surface obeyed Langmuir adsorption isotherm. IR spectra and SEM proved the adsorption of organic inhibitors and the formation of corrosion products on the mild steel surface.
In vitro Antidiabetic, anti-obesity and antioxidant proprities of Rosemary extracts
Authors: Ali Manel Ben , Mnafgui Kais , Feki Abdelfattah , Damak Mohamed , Allouche Noureddine 
Published: May 2018

Diabetes mellitus is a serious health problem worldwide that has adverse and long-lasting consequences for individuals, families, and communities. Hence, this study sought to investigate the inhibitory potential of rosemary extracts on key-enzymes related to diabetes such as α-amylase and pancreatic lipase activities, as well as to assess their antioxidant properties in vitro. The IC50 values of Rosemary essential oil, ethyl acetate and methanolic extracts against α-amylase were 28.36, 34.11 and 30.39 µg/mL respectively, and those against pancreatic lipase were 32.25, 36.64 and 34.07 µg/mL, suggesting strong anti-diabetic and anti-obesity effects of Rosemary. The methanolic extract was found to be the highest in levels of phenolic (282.98 µgGAE/mg extract) and flavonoids (161.05 µg QE /mg extract) contents as well as in the antioxidant activity (IC50 = 15.82 µg/mL) as compared to other extracts ethyl acetate (IC50 = 32.23 µg/mL) and essential oil (IC50 = 96.12 µg/mL).Antioxidant efficacy of Rosemary extracts has been estimated in the stabilization of sunflower oil (SFO) at three different concentrations, i.e. 200 (SFO-200), 500 (SFO-500) and 1000 ppm (SFO-1000). Results showed the highest efficiency of SFO-1000.The results obtained in this study demonstrated for the first time that Rosemary is a potent source of natural inhibitors of α-amylase and pancreatic lipase with powerful antioxidants proprieties that might be used in the food stabilization and the prevention of diabetes and obesity complications as a complementary pharmacological drug.
Reactivity of Hydrazine, Some Hydrazine derivatives and Diamines toward Ethyl 2,2-Dicyano-1-aryl (or alkyl)vinylcarbamate
Authors: Zribi Fethi , Salem Mansour , Chabchoub Fakher 
Published: May 2018

A series of pyrimidinone and dipyrimidinone derivatives 2a-c, 4a-e and 6a-f has been synthesized via the reaction between ethyl 2,2-dicyano-1-aryl(or alkyl)vinylcarbamate derivatives 1a-d and hydrazine derivatives or diamines. The reactivity of compounds 1a-d toward hydrazine is studied. The result is the formation of triazolones 5a-d rather than pyrimidinone derivatives.
The Inhibition of Mild Steel Corrosion in Sulfuric Acid by New Dapsone Derivatives
Authors: Chakravarthy M.P. , Mohana Dr. K. N. , Kumar C.B. Pradeep 
Published: May 2018

Dapsone derivatives Viz., 4, 4’-sulfonylbis(N-((1H-pyrrol-2-yl)methylene)aniline) (SBPMA) and 2-dimethylamino-5-[(4-{4-[(4-dimethylamino-benzylidene)-amino]-benzenesulfonyl}-phenylimino)-methyl]-benzene (DBBPB), a new class of corrosion inhibitors have been synthesized and their corrosion inhibition efficiency on mild steel in 0.5 M H2SO4 was investigated by mass loss, Tafel polarization and AC impedance measurements. Potentiodynamic polarization studies showed that, these compounds behave as mixed type of corrosion inhibitors. The adsorption process was found to obey Langmuir isotherm model. Electrochemical impedance spectroscopy (EIS) studies revealed that polarization resistance (RP) increases and double layer capacitance (Cdl) decreases as the concentration of the inhibitors increases. Various thermodynamic parameters for the adsorption of inhibitors on mild steel were computed and discussed. FTIR, EDX and SEM analyses were performed to study the film persistency of the inhibitors.
Synthesis, crystal structure and spectroscopy studies of a new non-centrosymmetric organic cation nitrate
Authors: Saadouni H. , Janzen D. E. , Rzaigui M. , Sta W.Smirani 
Published: May 2018

The synthesis, crystal structure and spectroscopic studies are reported for the salt m-anisidinium nitrate. A single-crystal X-ray investigation has shown that this compound crystallizes in the non-centrosymmetric space group Cc with the lattice parameters: a = 5.744(3) Å, b = 14.968(6) Å, c = 10.178(4) Å; b = 96.910(7)o; V = 868.6(6)Å3 ; Z = 4. The structure was solved from 1973 independent reflections with R1 = 0.033 and wR2 = 0.088. The hydrogen atoms of the protonated amine undergo hydrogen bonding interactions with oxygen atoms of three different nitrate anions forming 2-dimensional sheets. Solution NMR results are consistent with the X-ray structure. A measured optical band gap of 3.35eV indicates m-anisidinium nitrate is a wide-band-gap dielectric material.
Synthesis and cytotoxic activity of a novel dihydroisoquinoline-derived hydroxamic acid
Authors: Ben Salah Hassen , Carraz Maëelle , Kammoun Majed 
Published: May 2018

Naturally occurring hydroxamic acid derivatives are biosynthesized by microorganisms (siderophores) and plants (benzoxazinoids). Recent developments in drug related research have highlighted the promising biological and pharmacological properties that the hydroxamic acid function may offer for the enhancement of therapeutic applications. This study reports on the full synthesis of a new dihydroisoquinoline hydroxamic acid (2-Hydroxy-3,3-dimethyl-7-nitro-3,4-dihydroisoquinolin-1(2H)-one). It also describes its cytotoxicity with regard to the human hepatocarcinoma cell line Hep3B.
Physicochemical Characteristics of Saudi Arabian Locally Produced Raw and Diluted Honeys and Their Relations to Antimicrobial Activity
Authors: El-Shahawi Mohammad S , Al-Hindi R. 
Published: May 2018

The physicochemical characteristics and antibacterial activity of Saudi Arabia honeys were studied for the first time. The levels of free and total acidity, pH, ash and moisture content were in the range 1.6 ±0.17 - 15.1 ±0.1 meq/kg, 2.77 ± 0.06 - 5.37 ±0.04, 1.1 ±0.02 – 1.7 ±0.03 % and < 18.0 %, respectively. Lovibond comparator color scale (P, mm) of samples was ranged from water white (P=0.0-1.3), extra light Amber (P=38.14-46.57), light Amber (P=60.39-75.54), Amber (P=86.72-110.08), dark (P=142.39-348.44) and very dark shade (P= 541.84). Dark honeys showed excellent inhibitory effects against bacterial growth. Excellent correlation between color of raw and diluted (>10.0%m/v) honey and antimicrobial activity was noticed. Honey species from different floral sources posses’ strong antioxidant and anti bacterial activities and are scavengers of active oxygen species.