In cloud computing, the services are observed in video stream and clustering their pixels is initial task service detection. Tracking practice to observe or tracking moments of a given item each frame. Numerous false positives included Using saliency map model Extended Kalman Filter, proposed approach can recognize track moving objects video. The tracked using an Filter. research evaluation based on delay accuracy parameter. Finally, suggested method compared existing object methods, with...

Recently, Internet of the things (IoTs) devices have been used highly in surveillance applications smart environments, cities, and buildings. Most data recorded by IoT is form video needs to be transmitted admin or server streaming technology. Fractal compression uses a self-similarity concept for compression, meaning fractal image contains itself that explained denoted change. Computational cost more coding; different methods developed reduce this computational cost. The proposed work's...

Sybil attack is an in which the identities of node are subverted and large number pseudonymous produced to gain access network. In this paper, we studied detection mechanism peer-to-peer reputation systems, self-organizing networks even social network systems. Also, various methods mitigate analyzed. The mechanisms evaluated terms rate, false positive negative rate non-trustworthy rate. A research component mitigation is, how improve minimize

The main objective of the proposed system is to develop a which monitors soil moisture level, temperature, humidity using various sensors connected raspberry pi. can be very efficient substitute old farming method. This designed build an automated that may help any farmer check status field on device compatible with in his home or anywhere where he wants. for farmers and their farms. Nowadays automation plays important role man’s life. It provides comfort, reduce energy, efficiency but also...

Text Mining is knowledge discovery process from large database to find out unknown patterns. In many metadata based text mining applications, side information also known as which associated with the document. There are different types containing amount of data i.e. metadata, weblogs and non-textual (image, video, etc.). The difficult estimate when it contains noisy data. To achieve this, there scope improvement in generating selecting efficient classification clustering algorithms, providing...

The major challenge with fractal image/video coding technique is that, it requires more encoding time.Therefore, how to reduce the time research component remains in coding.Block matching motion estimation algorithms are used, computations performed process of encoding.The objective proposed work develop an approach for video using modified three step search (MTSS) block algorithm and weighted finite automata (WFA) a specific focus on reducing time.The MTSS used computing vectors between two...

Chronic heart disease (CHD) is a widespread and persistent health challenge that demands immediate attention. Early detection accurate diagnosis are essential for effective treatment management of this condition. To overcome difficulty, we created state-of-the-art IoT-Based Ambulatory Blood Pressure Monitoring System provides real-time blood pressure readings, systolic, diastolic, pulse rates at predefined intervals. This unique technology comes with module forecasts CHD's early warning...

The testing of VLSI circuits entitles many challenges in term area overhead, power and latency. Low transition test pattern generation is a very crucial technique for complex architecture design. In this paper, 32-bit generator has been proposed the This implemented with efficient LFSR extra combinational circuitry which achieved consumption. paper using Xilinx 13.1 ISE design suite Verilog HDL. switching activity between tests vector are reduced, results low yield 23 mW latency 5.194ns....

Main objective of the proposed work is to develop an approach for video coding based on Fractal using weighted finite automata (WFA). The only focuses reducing encoding time as this basic limitation why not becomes practical reality. WFA used it behaves like Coding (FC). represents image idea fractal that has self-similarity in itself. plane (applied every frame), and Plane FC frame) approaches are compared with each other. experimentations carried out standard uncompressed databases,...

Over the past few years, free mobile application tools on Artificial Intelligence and deep learning have made it easy to create reliable face exchanges in a video called "DeepFake" (DF) that leaves little hint of traces check if its fake. Creating computerized edited has been demonstrated for quite long time by actually taking advantage enhanced visual effects. Recently, led rise fake content ability access it. These purported AI-engineered media are normally DeepFake(DF). Making DF with AI...

In video compression technique, motion estimation is one of the key components because its high computation complexity involves in finding vectors (MV) between frames.The purpose to reduce storage space, bandwidth and transmission cost for many multimedia service applications by reducing temporal redundancies while maintaining a good quality video.There are algorithms, but there trade-off algorithms accuracy speed.Among all these, block-based most robust versatile.In estimation, variety fast...

The efficient use of data mining in virtual sectors such as e-соmmerсe, and соmmerсe has led to its other industries. mediсаl environment is still rich but weaker technical analysis field. There а lot information that саn оссur within systems. Using powerful analytics tооls identify the hidden relationships with current trends. Disease term provides large number соnditiоns connected heath care. These describe unexpected health directly соntrоl all оrgаns body. Mediсаl methods соrроrаte...

Fractal video compression is an attractive technique for coding due to its distinct features and low bit rate application. based on self similarity concept just as in image compression. requires more computational complexity reducing this different techniques has been employed. This paper proposed fractal using block matching motion estimation that a new hybrid technology consist of efficient three step search cross hexagonal search. Efficient lesser points getting good result terms ratio,...

Peer-to-peer networks are widely used today.Due to this wide use, they the target of many attackers.The most mentionable them is Sybil attack.This an attack in which it creates fake identities.In paper, detection scheme and efficient mitigation mechanism counteract peer-to-peer network proposed.The proposed detect attack.The depending upon behavior packets.The identity location packet checked.If changed than that mentioned, detected as a attack.Sybil combination cost incurred method...

Fractal coding technique has become the most popular in recent development of image/video compression technologies for its better performance, achieving a high ratio, less decoding time and good reconstruction quality image. This paper elaborates on approach which is combination quadtree partitioning scheme extended weighted finite automata (EWFA) fractal video based concept intra-frame coding. The used to specify address each sub-image. It observed that any image can be represented by...

In Data mining the concept of association rule (ARM) is used to identify frequent itemsets from large datasets. It defines pattern larger datasets using Apriori algorithm & FP-growth algorithm. The a classic traditional for all and rules. But, have some limitations i.e. there are more candidate sets generation huge memory consumption, etc. Still, scope improvement modify existing identifying with focus on reducing computational time space. This paper presents analysis algorithms results...