Manoj Gelli - Academia.edu (original) (raw)

Papers by Manoj Gelli

Images have large data capacity. For storage and transmission of images, high efficiency image co... more Images have large data capacity. For storage and transmission of images, high efficiency image compression methods are under wide attention. In this paper we implemented a wavelet transform, DPCM and neural network model for image compression which combines the advantage of wavelet transform and neural network. Images are decomposed using Haar wavelet filters into a set of sub bands with different resolution corresponding to different frequency bands. Scalar quantization and Huffman coding schemes are used for different sub bands based on their statistical properties. The coefficients in low frequency band are compressed by Differential Pulse Code Modulation (DPCM) and the coefficients in higher frequency bands are compressed using neural network. Using this scheme we can achieve satisfactory reconstructed images with increased bit rate, large compression ratios and PSNR.

International Journal of Innovative Technology and Exploring Engineering, 2019

Cloud computing can store and manage the large amount of data. Storing the data on to cloud is wi... more Cloud computing can store and manage the large amount of data. Storing the data on to cloud is widespread among companies additionally as private users. It permits its users to access the cloud services from the different locations. It wants solely a working internet connection to access the cloud services. A lot of attention is gained by cloud still there are some problems that need to be taken in considerations(i.e. data security, privacy and reliability)in which data security is one in all the most problems. The biggest challenge in the cloud is to maintain the integrity and confidentiality of data. Many techniques are urged for data protection in cloud. This paper focuses on the present security techniques for shielding the data in cloud. The paper has been carried out on the basis of cryptography, intrusion detection, attacks solutions, Data integrity and privacy as well as authentication and identity.

International Journal of Innovative Research in Advanced Engineering, 2021

When sales representatives and customers negotiate, it should be confirmed that the ultimate deal... more When sales representatives and customers negotiate, it should be confirmed that the ultimate deals can render a high enough professional t for the mercantilism company. Massive corporations have completely different strategies of doing this, one amongst that is to run sales simulations. Such simulation systems typically have to be compelled to perform complicated calculations over massive amounts of information that successively needs economical models and algorithms. This research paper intends to judge whether or not it's potential to optimize Associate in Nursing extend an existing sales system known as per centum, that is presently laid low with intolerably high running times in its simulation method. this can be done through analysis of this implementation, followed by improvement of its models and development of economical algorithms. The performance of those optimized and extended models area unit compared to the present one so as to judge their improvement. The conclusio...

In a recent in vitro biomechanical stability study by F.J. Jacobs, a unique, patented inclined sc... more In a recent in vitro biomechanical stability study by F.J. Jacobs, a unique, patented inclined screw insertion (I.S.I.) mandibular angle, intra-oral trauma-plate was evaluated for torsion and compression stability and compared to conventional plating of simulated angle fractures in polyurethane mandibular replicas.

This in vitro comparative pilot study is an extension of the above-mentioned study. Similar I.S.I. mini-plates with 45º inclined screw holes in quadrant 3 (Fig 1), were used but in the one sample 13mm-long lag screws were used to transect the fracture lines where in the other group non-lagging screws of similar length were used to fixate simulated mandibular angle fractures in polyurethane mandible replicas. A uniquely designed and manufactured jig, incorporated in a Zwick machine, was utilized to apply torsion forces within clinical relevant load values. The load-displacement values for torsion forces was determined and compared for the two groups. It was established that

lag screws significantly improved the torsion stability of the lag-plate group to that of the non-lag group.

During the stability testing, two factors were identified, which had a critical influence on the compression generated by the lag screw between the fracture fragments. An adequate amount of bone must be maintained between the first screw hole, directly distal to the fracture line, and the fracture line. All screws must be inserted in the correct sequence in order to insure sufficient compression between the fracture fragments as a result of the lag-effect.

Research Inventy - International Journal of Engineering and Science, 2019

Order is the way toward finding (or preparing) an arrangement of models (or capacities) that port... more Order is the way toward finding (or preparing) an arrangement of models (or capacities) that portray and recognize information classes or ideas. That is to be ready to utilize the models to foresee the obscure class marks of cases. We manage the positioning issue in this proposal. The positioning issue is an exceptional instance of the classification issue, where the class marks are positions or appraisals, spoke to by numbers from 1 to q. The positioning issue can likewise be given a role as the way toward preparing a rank-forecast show that appoints each example a rank that is as close as could be expected under the circumstances "to the occurrence's genuine rank. Well known uses of the positioning issue incorporate positioning the significance of website pages, assessing the financial credit of a man, and positioning the dangers of speculations. Two mainstream groups of strategies to take care of positioning issues are Multi-Criteria Decision Aid (MCDA) techniques and Support Vector Machines (SVMs). The execution of effective MCDA techniques, for example, Utilities Additives Discriminates (UTADIS) and Generalized Utilities Additives Discriminates (GUTADIS), is accomplished by abusing the foundation information that de-copyists the relationships between are the qualities and the positions. Lamentably, the foundation information is case-subordinate, thus it is probably going to be unveil capable, vague or difficult to be demonstrated by and by. This limits the application of MCDA techniques. SVMs, rather, don't require any foundation learning. Their great execution is accomplished by keeping balance between limiting the observational misfortune and augmenting the partition edge. Normally, a multi-class Support Vector Machine Classifier is developed by combining a few twofold Support Vector Machine Classifiers. In the SVM-based approach the positioning data isn't utilized. This proposition endeavors to build an efficient calculation for positioning issues. We look at the properties of existing calculations for positioning problems and propose a half breed calculation that joins the multi-class SVM (M-SVM) and the UTADIS demonstrate. In the new calculation, the double SVM classifiers are joined into a multi-class classifier in light of the fluffy voting strategy. The ideal fluffy voting technique is sought by settling a Linear Program (LP). The new calculation is called Fuzzy Voting based Support Vector Ranking (FVSVR) technique. We likewise expand the possibility of Fuzzy Voting from positioning issues to nonexclusive multi-class classification issues, which prompts a Fuzzy Voting based Support Vector Machine (FVSVM) strategy. The benefits of FVSVR and FVSVM are exhibited by trial comes about in view of a few databases of handy classification issues.

Late mechanical advances have offered ascend to the notoriety and accomplishment of cloud. This n... more Late mechanical advances have offered ascend to the notoriety and accomplishment of cloud. This new worldview is picking up a growing enthusiasm, since it gives cost effective models that help the transmission, stockpiling, and concentrated processing of information. In any case, these promising stockpiling administrations bring many testing configuration issues, impressively because of the loss of information control. These difficulties, to be specific information classification and information respectability, have noteworthy effect on the security and exhibitions of the cloud framework. Some danger models accept that the cloud specialist organization can't be trusted, and in this manner security creators propose an abnormal state security confirmation, for example, putting away scrambled information in cloud servers. Others assume that cloud suppliers can be trusted, and that potential dangers come essentially from outside aggressors and different vindictive cloud clients. Furthur more, a cloud client can never deny a potential server breakdown. Thus, there are a few difficulties that should be tended to as for security and protection in a cloud setting.

This proposition goes for defeating this exchange oﬀ, while considering two information security concerns.

On one hand, we concentrate on information secrecy safeguarding which turns out to be more complex with adaptable information sharing among a dynamic gathering of clients. It requires the mystery of outsourced information and an eﬃcient sharing of unscrambling keys between diﬀerent approved clients.

For this reason, we, in the first place, proposed another technique depending on the utilization of ID-Based Cryptography (IBC), where every customer goes about as a Private Key Generator (PKG). That is, he creates his own open components and infers his comparing private key utilizing a mystery. Because of IBC properties, this commitment is appeared to help information security and confidentiality, and to be impervious to unapproved access to information amid the sharing procedure, while considering two sensible risk models, to be specific a genuine however inquisitive server and a malignant client foe.

Second, we characterize CloudaSec, an open key based arrangement, which proposes the partition of membership based key administration and privacy situated deviated encryption strategies. That is, CloudaSec empowers adaptable and versatile sending of the arrangement and also solid security ensures for outsourced information in cloud servers. Trial comes about, under Open Stack Swift, have demonstrated the eﬃciency of CloudaSec in versatile information sharing while at the same time considering the effect of the cryptographic operations at the customer side.

Then again, we address the Proof of Data Possession (PDP) concern. Actually, the cloud client ought to have an eﬃcient approach to perform periodical remote respectability confirmations, without keeping the information locally, following three considerable angles : security level, open certainty, and execution. This worry is amplified by the customer's compelled stockpiling and calculation capacities and the expansive size of outsourced information.

Keeping in mind the end goal to satisfy this security prerequisite, we initially characterize another zero-learning PDP protocol that gives deterministic honesty check ensures, depending on the uniqueness of the Euclidean Division. These assurances are considered as fascinating, contrasted with a few proposed plans, showing probabilistic methodologies.

At that point, we propose SHOPS, a Set-Homomorphism Proof of Data Possession plot, supporting the 3 levels of information confirmation. SHOPS empowers the cloud customer not exclusively to acquire a proof of ownership from the remote server, yet in addition to check that a given information document is dispersed over numerous capacity gadgets to accomplish a specific wanted level of blame tolerance. Without a doubt, we display the set homomorphism property, which stretches out pliability to set operations properties, for example, union, convergence and incorporation. SHOPS display high security level and low preparing many-sided quality. For example, SHOPS spares vitality inside the cloud supplier by appropriating the calculation over numerous hubs. Every hub gives confirmations of neighbourhood information square sets. This is to make appropriate, subsequent evidence over arrangements of information squares, fulfilling a few needs, for example, proofs accumulation.

This proposition is given to protection safeguarding characterization and affiliation rules minin... more This proposition is given to protection safeguarding characterization and affiliation rules mining over unified information mutilated with randomisation-based techniques which alter singular esteems indiscriminately to give a normal level of security. It is expected that lone contorted esteems and parameters of a mutilating system are known amid the way toward building a classifier and mining affiliation rules.

In this proposition, we have proposed the advancement MMASK, which wipes out exponential multifaceted nature of assessing a unique help of a thing set as for its cardinality, and, in outcome, makes the protection saving revelation of incessant thing sets and, by this, association rules attainable. It likewise empowers each estimation of each credit to have diverse mutilation parameters. We indicated tentatively that the proposed advancement expanded the precision of the outcomes for abnormal state of security. We have likewise displayed how to utilize the randomisation for both ordinal and whole number credits to alter their qualities as indicated by the request of conceivable estimations of these ascribes to both keep up their unique space and acquire comparative appropriation of estimations of a property after mutilation. Furthermore, we have proposed security saving strategies for characterization in light of Emerging Patterns. Specifically, we have offered the excited ePPCwEP and languid lPPCwEP classifiers as security safeguarding adjustments of enthusiastic CAEP and apathetic DeEPs classifiers, separately. We have connected meta-figuring out how to protection safeguarding characterization. Have we utilized packing and boosting, as well as we have joined variant likelihood circulation of estimations of properties recreation calculations and remaking sorts for a choice tree keeping in mind the end goal to accomplish higher exactness of order. We have demonstrated tentatively that meta-learning gives higher precision pick up for security saving classification than for undistorted information.

The arrangements exhibited in this proposal were assessed and contrasted with the current ones. The proposed strategies got better precision in protection saving affiliation rules mining and arrangement. Besides, they diminished time many-sided quality of finding affiliation rules with safeguarded protection.

This doctoral thesis is devoted to the investigation and the outline of symmetric cryptographic ... more This doctoral thesis is devoted to the investigation and the outline of symmetric cryptographic calculations.

In the initial segment of the exposition, we manage blame construct assaults with respect to cryptographic circuits which have a place with the field of dynamic execution assaults and plan to recover mystery keys put away on such chips. Our fundamental concentrate lies on the cryptanalytic parts of those assaults. Specifically, we target square figures with a lightweight and (regularly) non-objective key calendar where the inferred sub keys are (nearly) autonomous from each other. An aggressor who can remake one of the sub keys is in this manner not really ready to straightforwardly recover different sub keys or even the mystery ace key by just switching the key timetable. We present a system in view of diﬀerential blame examination that permits to assault piece figures with a self-assertive number of autonomous sub keys and which depend on a substitution-stage arrange. These techniques are then connected to the lightweight square figures LED and PRINCE and we demonstrate to in the two cases generally accepted methods to recoup the mystery ace key requiring just few blame infusions. Besides, we explore approaches that use arithmetical rather than diﬀerential systems for the blame investigation and talk about favorable circumstances and downsides. Toward the finish of the initial segment of the paper, we investigate blame construct assaults with respect to the square figure Bel-T which additionally has a lightweight key timetable however did not depend on a substitution-stage organize yet rather on the purported Lai-Massey plot. The structure specified above is in this way not usable against Bel-T. By the by, we additionally display methods for the instance of Bel-T that empower full recuperation of the mystery enter in an exceptionally eﬃcient way utilizing differential blame investigation.

In the second piece of the proposition, we concentrate on validated encryption plans. While customary figures just ensure protection of handled information, validated encryption plots likewise secure its legitimacy and honesty. A significant number of these figures are moreover ready to secure genuineness and uprightness of supposed related information. This kind of information is transmitted decoded yet in any case should be shielded from being altered amid transmission. Verified encryption is these days the standard system to secure in-travel information. Nonetheless, the vast majority of the as of now sent plans have deficiencies and there are numerous use focuses for upgrades. With NORX we present a novel validated encryption plot supporting related information. This calculation was planned with high security, eﬃciency in both equipment and programming, effortlessness, and strength against side-direct assaults as a main priority. Alongside its determination, we introduce extraordinary highlights, security objectives, usage points of interest, broad execution estimations and talk about focal points over at present conveyed measures. At long last, we depict our preparatory security examination where we research diﬀerential and rotational properties of NORX. Essential are specifically the recently created procedures for diﬀerential cryptanalysis of NORX which misuse the energy of SAT-and SMT-solvers and can possibly be effortlessly versatile to other encryption plots too.

Images have large data capacity. For storage and transmission of images, high efficiency image co... more Images have large data capacity. For storage and transmission of images, high efficiency image compression methods are under
wide attention. In this paper we implemented a wavelet transform, DPCM and neural network model for image compression which
combines the advantage of wavelet transform and neural network. Images are decomposed using Haar wavelet filters into a set of sub bands
with different resolution corresponding to different frequency bands. Scalar quantization and Huffman coding schemes are used for
different sub bands based on their statistical properties. The coefficients in low frequency band are compressed by Differential Pulse Code
Modulation (DPCM) and the coefficients in higher frequency bands are compressed using neural network. Using this scheme we can achieve satisfactory reconstructed images with increased bit rate, large compression ratios and PSNR.

IJIRAE Published Papers by Manoj Gelli

IJIRAE:: AM Publications,India, 2021

When sales representatives and customers negotiate, it should be confirmed that the ultimate deal... more When sales representatives and customers negotiate, it should be confirmed that the ultimate deals can render a high enough professional t for the mercantilism company. Massive corporations have completely different strategies for doing this, one of those is to run sales simulations. Such simulation systems typically have to be compelled to perform complicated calculations over massive amounts of information that successively needs economical models and algorithms. This research paper intends to judge whether or not it's potential to optimize Associate in Nursing extend an existing sales system known as per centum, that is presently laid low with intolerably high running times in its simulation method. this can be done through analysis of this implementation, followed by improvement of its models and development of economical algorithms. The performance of that optimized and extended models area unit compared to the present one so as to judge their improvement. The conclusion of this research work is that the simulation method in per centum will so be optimized and extended. The optimized models function as a symptom of thought that shows that results just like the first systems are often calculated inside < 1 Chronicle of the first time period for the most important range of shoppers.

International Journal of Innovative Technology and Exploring Engineering, 2019

International Journal of Innovative Research in Advanced Engineering, 2021

lag screws significantly improved the torsion stability of the lag-plate group to that of the non-lag group.

Research Inventy - International Journal of Engineering and Science, 2019

This proposition goes for defeating this exchange oﬀ, while considering two information security concerns.

Images have large data capacity. For storage and transmission of images, high efficiency image co... more Images have large data capacity. For storage and transmission of images, high efficiency image compression methods are under
wide attention. In this paper we implemented a wavelet transform, DPCM and neural network model for image compression which
combines the advantage of wavelet transform and neural network. Images are decomposed using Haar wavelet filters into a set of sub bands
with different resolution corresponding to different frequency bands. Scalar quantization and Huffman coding schemes are used for
different sub bands based on their statistical properties. The coefficients in low frequency band are compressed by Differential Pulse Code
Modulation (DPCM) and the coefficients in higher frequency bands are compressed using neural network. Using this scheme we can achieve satisfactory reconstructed images with increased bit rate, large compression ratios and PSNR.

IJIRAE:: AM Publications,India, 2021

When sales representatives and customers negotiate, it should be confirmed that the ultimate deal... more When sales representatives and customers negotiate, it should be confirmed that the ultimate deals can render a high enough professional t for the mercantilism company. Massive corporations have completely different strategies for doing this, one of those is to run sales simulations. Such simulation systems typically have to be compelled to perform complicated calculations over massive amounts of information that successively needs economical models and algorithms. This research paper intends to judge whether or not it's potential to optimize Associate in Nursing extend an existing sales system known as per centum, that is presently laid low with intolerably high running times in its simulation method. this can be done through analysis of this implementation, followed by improvement of its models and development of economical algorithms. The performance of that optimized and extended models area unit compared to the present one so as to judge their improvement. The conclusion of this research work is that the simulation method in per centum will so be optimized and extended. The optimized models function as a symptom of thought that shows that results just like the first systems are often calculated inside < 1 Chronicle of the first time period for the most important range of shoppers.