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The rate of data generation is enormously growing due to the number of internet users and its speed. This increases the possibility of intrusions causing serious financial damage. Detecting the intruders in such high-speed data networks is a challenging task. Therefore, in this paper, we present a high-speed Intrusion Detection System (IDS), capable of working in Big Data environment. The system design...
Targeted attacks are a significant problem for governmental agencies and corporations. We propose a MinHash-based, targeted attack detection system which analyzes aggregated process creation events typically generated by human keyboard input. We start with a set of malicious process creation events, and their parameters, which are typically generated by an attacker remotely controlling computers on...
Object instance recognition enables the realization of many potential applications, such as information retrieval, scene understanding and human computer interaction. However, it is still a challenging problem in computer vision. The appearance of an object is affected by variations in illumination, viewpoint and occlusion. In this contribution, we propose an object instance recognition method based...
Food is the basic need of life. The quality of food is very important factor for proper nourishment of life so that, there is a requirement of assessment of food quality. In this paper, we proposed the system that assesses the food grain quality using image processing. It is proposed to work at ration shop to avoid the distribution of low quality grain. In this system, visual inspection for quality...
Intrusion Detection System (IDS) is an essential method to protect network security from incoming on-line threats. Machine learning enable automates the classification of network patterns. This paper review the learning and detection methods in IDS, discuss the problems with existing intrusion detection systems and review data reduction techniques used in IDS in order to deal with huge volumes of...
Mechanical parameters are regarded as important content of high voltage vacuum circuit breaker's (HV-VCB) condition monitoring, and the location of closing and separating moment is the premise and key for these parameters' calculation. An on-line monitoring system based on FPGA+ARM+SBC for HV-VCB is designed and developed with various functions. On the basis of which, a new singular point detection...
A state-of-the-art method based on a grammatical evolution approach is utilized in this study to classify EEG signals. The method is able to construct nonlinear mappings of the original features in order to improve their effectiveness when used as input into artificial intelligence techniques. Several features are initially extracted from the EEG signals which are subsequently used to create the non-linear...
Recent studies show structured atomic event information is beneficial to represent the discourse semantic. However, extracting useful structured representation of events from open domain is a challenging problem. On one hand, previous event extraction methods on special domain, cannot be directly used for open domain because of domain limitation and predefined event pattern. On the other hand, atomic...
The state-of-the-art image classification methods require an intensive learning stage and a considerable amount of training images. Recently, with the introduction of these models (and in particular convolutional neural network (CNN)), it is believed that the best solution to achieve a system with high performance on scene classification is to learn deep scene features using CNN. While this can be...
The demand for Solid-State drives (SSDs) has risen as their speed, size, and architecture have improved. SSDs introduce a security risk because they contain a separate processor to optimize the SSD's lifespan. The lack of transparency of the operations conducted by this onboard processor creates a challenge to users, particularly in digital forensics settings. This paper utilizes non-destructive voltage...
One of the main challenges of current person recognition techniques lies on difficulties of recognition in various poses. Recently, attention has been focused on using soft biometric information extracted from the human body to overcome the biometric recognition system's limitation in unconstrained environments. In this paper, we integrate the face and body information in a linear combination. We...
Water is a highly abundant nutrient in the human body and monitoring of its regulation is essential to keep the body hydrated. A number of critical health conditions including swelling of the brain and short/long term memory loss are associated with poor or excessive drinking habits. This can be prevented with the use of a real time hydration monitoring system. In this paper we presented AutoHydrate,...
This paper aims to scan a handwritten statement sample in the form of an image then uses the neural network to identify the graphological and statement analysis marker s that can give an insight into the psyche of the person who wrote the sample. It is a tried and tested fact that at least 70% of the communication that we engage in is nonverbal in nature. It is from this fact that the sciences of...
The advancement in the world of internet has made information retrieval an easy task. Search engines provide users the information they need but not in specific form, instead floods the user with lots of documents/web pages that contain the information required by user. User waste their time to scan all documents in order to retrieve the needed information. Question Answering System reduces this drawback...
Nowadays, an aerial closed-circuit television provides an outsize quantity of information compared with ancient closed-circuit television. But, it suffers from unsought cameras motion that presents new challenges. This paper presents a work on video stabilization and detection of the objects which are in moving position, system supported camera motion estimation. Most effective algorithms SIFT (Scale...
The most important factor to build a synthesized discourse close to human speech, it is important that the content preparing segment delivers a suitable arrangement of phonemic units relating to an the text given as input. A detailed experimental research has been done throughout the project to syllabify Assamese words by using existing Phonetic Alphabet structures for Assamese Language and later...
Emotion expression is an essential function for daily life that can be severely affected some psychological disorders. In this paper we have identified nine motions. We have extracted more than 20 features from natural speech. In this work database used are SAVEE(Surrey audio visual expressed emotion) and BERLIN. The overall experimental results reveals that combination of features values extracted...
Sentiment Analysis is a very challenging task in these days, which is a great requirement in every field as in Political field, Marketing field and in social field mainly. Many researchers have been taken a lot of interest in this area and proposed their work. The Sentiment analysis is done on the basis of Document, Sentence and feature levels. But the first two levels didn't consider object features...
This research focuses on advent of music player that could be controlled by the human brain by BCI using EEG (electroencephalogram). The rudimentary idea is user contemplates to change the song and eases while listening. The indorsed BCI system implements deciphering the brain state by use of (EEG) signals, in amalgamation with M.L, A.I. These days research is fundamentally being concentrated on developing...
Brain-computer interface (BCI) technology is communication system is rely a pathway to explore the brain activities to external world. The BCI technique make possible to monitor some physical processes that occur within the brain activity that correspond to certain forms of flickering light through stimuli. Observed a thousand of brain activities are firing instantaneous which allowed the BCI system...
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