Our network is facing a rapidly evolving threat landscape full of modern applications, exploits, malware and attack strategies that are capable of avoiding traditional methods of detection. Intrusion detection can perform the task of monitoring usability systems to detect any apparition of insecure states. To overcome above mentioned issues we have employed genetic algorithm to improve detectio...

While current desktop applications provide input for an application’s information processing by monitoring peripheral activity (keyboard, mouse, internal clock), these applications do not access external information from a user’s environment to better adapt their behavior towards individual users. To address this lack of personalization, I design Sycophant, my context-aware user modeling framew...

A Similarity Ratio Analysis (SRA) method is proposed for early-stage Fault Detection (FD) in plasma etching processes using real-time Optical Emission Spectrometer (OES) data as input. The SRA method can help to realise a highly precise control system by detecting abnormal etch-rate faults in real-time during an etching process. The method processes spectrum scans at successive time points and ...

Background: Dyspepsia is common in clinical practice. Esophagogastroduodenoscopy (EGD) is generally recommended in dyspeptic patients with alarm features (AF) including (I) age_55 years, (II) evidence of gastrointestinal blood loss, (III) unexplained weight loss, (IV) dysphagia, and (V) persistent vomiting. The predictive value of AF remains uncertain. Aims: To evaluate EGD findings in dyspepti...

Centrifugal booster fans are important equipment used to recover blast furnace gas (BFG) for generating electricity, but blade crack faults (BCFs) in centrifugal booster fans can lead to unscheduled breakdowns and potentially serious accidents, so in this work quantitative fault identification and an abnormal alarm strategy based on acquired historical sensor-dependent vibration data is propose...

We present an algorithm for the on-board vision vehicle detection problem using a cascade of boosted classifiers. Three families of features are compared: the rectangular filters (Haar-like features), the histograms of oriented gradient (HoG), and their combination (a concatenation of the two preceding features). A comparative study of the results of the generative (HoG features), discriminativ...

GPS spoofing attacks are a severe threat to unmanned aerial vehicles. These manipulate the true state of vehicles, potentially misleading system without raising alarms. Several techniques, including machine learning, have been proposed detect these attacks. Most studies applied learning models identifying best hyperparameters, using feature selection and importance ensuring that used dataset is...

The productivity of chemical plants and petroleum refineries depends on the performance of alarm systems. Alarm history collected from distributed control systems (DCS) provides useful information about past plant alarm system performance. However, the discovery of patterns and relationships from such data can be very difficult and costly. Due to various factors such as a high volume of alarm d...

FEATURES Pretrimmed for Type J (AD594) or Type K (AD595) Thermocouples Can Be Used with Type T Thermocouple Inputs Low Impedance Voltage Output: 10 mV/8C Built-In Ice Point Compensation Wide Power Supply Range: +5 V to 615 V Low Power: <1 mW typical Thermocouple Failure Alarm Laser Wafer Trimmed to 18C Calibration Accuracy Setpoint Mode Operation Self-Contained Celsius Thermometer Operation Hig...

Vehicle text marks are unique features which are useful for identifying vehicles in video surveillance applications. We propose a method for finding such text marks. An existing text detection algorithm is modified such that detection is increased and made more robust to outdoor conditions. False alarm is reduced by introducing a binary image test which remove detections that are not likely to ...