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Network Traffic Measurement and Analysis
No full textToday one cannot think of life without the Internet. The Internet has grown at a very fast pace, which has resulted in heavy Internet traffic. Most of today’s internet traffic is due to video streaming services such as YouTube and Netflix. The Average traffic load has risen, and data traffic patterns have also become unpredictable. Therefore, network traffic monitoring and analysis have become essential in order to troubleshoot and resolve problems effectively when they occur, so that network services do not stand still for long durations of time. Traffic monitoring is a technique which constantly monitors the network traffic and notifies the administrator whenever there is an outage. There are many network monitoring tools available for network administrators, which use different monitoring techniques in order to monitor and analyze network traffic. In this paper, we present different network monitoring approaches and different tools that monitor and analyze network traffic. In addition to this, we also present results by comparing different network monitoring tools
Multi Sensor Fusion Based Framework For Efficient Mobile Robot Collision Avoidance and Path Following System
No full textThe field of autonomous mobile robotics has recently gained the interests of many researchers. Due to the specific needs required by various applications of mobile robot systems (especially in navigation), designing a real-time obstacle avoidance and path following robot system has become the backbone of controlling robots in unknown environments. Therefore, an efficient collision avoidance and path following methodology is needed to develop an intelligent and effective autonomous mobile robot system. Mobile robots are equipped with various types of sensors (such as GPS, camera, infrared and ultrasonic sensors); these sensors are used to observe the surrounding environment. However, these sensors sometimes fail and have inaccurate readings. Therefore, the integration of sensor fusion will help to solve this dilemma and enhance the overall performance. A new technique for line following and collision avoidance in the mobile robotic systems is introduced. The proposed technique relies on the use of infrared sensors and involves a reasonable level of calculations, to be easily used in real-time control applications. In addition, a fusion model based on fuzzy logic is proposed. Eight distance sensors and a range finder camera are used for the collision avoidance approach, where three ground sensors are used for the line or path following approach. The fuzzy system is composed of nine inputs (which are the eight distance sensors and the camera), two outputs (which are the left and right velocities of the mobile robot’s wheels), and twenty four fuzzy rules for the robot’s movement. Webots Pro simulator is used for modeling the environment and robot to show the ability of the robot to follow a path, detect obstacles, and navigate around them to avoid collision. It also shows that the robot has been successfully following extremely congested curves and has avoided any obstacle that emerged on its path. The proposed methodology which includes the collision avoidance based on fuzzy logic fusion model and line following robot, has been implemented and tested through simulation and real-time experiments. Various scenarios have been presented with static and dynamic obstacles, using one and multiple robots while avoiding obstacles in different shapes and sizes. The proposed methodology reduced the traveled distance of the mobile robot, as well as minimized the energy consumption and the distance between the robot and the obstacle detected as compared to a non-fuzzy logic approach
Quantitative Easing and U.S. Financial Markets
No full textThis paper is a comprehensive study of the unconventional monetary policy taken by the Federal Reserve since the financial crisis of 2008, specifically on the purchases of different assets by the Fed to change medium and long-term rates. Included in this study are the three rounds of quantitative easing, and the two rounds of Operation Twist. A study as such is needed in order to examine if the Fed’s purchases of these various long-term assets had any effect on the financial markets in the longer term perspective since the first announcement of the first round of purchase in November 2008. While there exists a variety of literature on the effects of quantitative easing on Treasuries and mortgage backed securities, there is no single study comprising of all the large scale asset purchases by the Fed, covering their effects on all major financial assets. This study is an attempt to fill this void in current literature on quantitative easing
Network Intrusion Detection Using Hardware Techniques: A Review
No full textThe increasing amount of network throughput and security threat makes intrusion detection a major research problem. In the literature, intrusion detection has been approached by either a hardware or software technique. This work reviews and compares hardware based techniques that are commonly used in intrusion detection systems (IDS) with a special emphasis on modern hardware platforms such as FPGA, GPU, MCP and ASIC
Oracle NoSQL Database
No full textData is stored and retrieved from Database in tabular format which is called Relational Database and familiar from 1960’s as SQL (Structured Query Language) Database. Today with the rapidly increasing collected information, data driven applications are rising in science and business territories. From 21st century the term NoSQL is being popular and it is also called ‘Non SQL’ or ‘Non-Relational’ or ‘Not only SQL’. For large scale applications on datacenters or cloud distributed NoSQL systems are well known for their ease of use. There are many NoSQL non-relational Databases are introduced depending on its type based on the CAP theorem. NoSQL database data models are classified into different categories like Key- Value system, Document based system, column based system and Graph based system mainly. In this paper we will be introducing Oracle NoSQL database which is horizontally scaled with high availability, key valued database for cloud and web services. It has load balancing which is transparent even after dynamically adding new capacity
Student Perceptions of Resistance Tube Training in Chiropractic Technique Labs
No full textProfessor Christopher Good's poster on the training of students on the use of resistance tube usage in chiropractic labs
SVM-Based Sleep Apnea Identification Using Optimal RR-Interval Features of the ECG Signal
No full textSleep apnea (SA) is the most commonly known sleeping disorder characterized by pauses of airflow to the lungs and often results in day and night time symptoms such as impaired concentration, depression, memory loss, snoring, nocturnal arousals, sweating and restless sleep. Obstructive Sleep Apnea (OSA), the most common SA, is a result of a collapsed upper respiratory airway, which is majorly undiagnosed due to the inconvenient Polysomnography (PSG) testing procedure at sleep labs. This paper introduces an automated approach towards identifying sleep apnea. The idea is based on efficient feature extraction of the electrocardiogram (ECG) signal by employing a hybrid of signal processing techniques and classification using a linear-kernel Support Vector Machine (SVM). The optimum set of RR-interval features of the ECG signal yields a high classification accuracy of 97.1% when tested on the Physionet Apnea-ECG recordings. The results provide motivating insights towards future developments of convenient and effective OSA screening setups.http://dx.doi.org/10.18201/ijisae.7907
Reality Check: Today’s Child Labor Issues in U.S. Tobacco Farming
No full textRebecca Ciullo's & Carrie A. Picardi's poster about child labor issues in U.S. tobacco farming
Mapping Areas using Computer Vision Algorithms and Drones
No full text© ASEE 2016The goal of this paper is to implement a system, titled as Drone Map Creator (DMC) using Computer Vision techniques. DMC can process visual information from an HD camera in a drone and automatically create a map by stitching together visual information captured by a drone. The proposed approach employs the Speeded up robust features (SURF) method to detect the key points for each image frame; then the corresponding points between the frames are identified by maximizing the determinant of a Hessian matrix. Finally, two images are stitched together by using the identified points. Our results show that despite some limitations from the external environment, we could have successfully stitched images together along video sequences
Does case misclassification threaten the validity of studies investigating the relationship between neck manipulation and vertebral artery dissection stroke? No
No full textBackground: The purported relationship between cervical manipulative therapy (CMT) and stroke related to vertebral artery dissection (VAD) has been debated for several decades. A large number of publications, from case reports to case–control studies, have investigated this relationship. A recent article suggested that case misclassification in the case–control studies on this topic resulted in biased odds ratios in those studies. Discussion: Given its rarity, the best epidemiologic research design for investigating the relationship between CMT and VAD is the case–control study. The addition of a case-crossover aspect further strengthens the scientific rigor of such studies by reducing bias. The most recent studies investigating the relationship between CMT and VAD indicate that the relationship is not causal. In fact, a comparable relationship between vertebral artery-related stroke and visits to a primary care physician has been observed. The statistical association between visits to chiropractors and VAD can best be explained as resulting from a patient with early manifestation of VAD (neck pain with or without headache) seeking the services of a chiropractor for relief of this pain. Sometime after the visit the patient experiences VAD-related stroke that would have occurred regardless of the care received. This explanation has been challenged by a recent article putting forth the argument that case misclassification is likely to have biased the odds ratios of the case–control studies that have investigated the association between CMT and vertebral artery related stroke. The challenge particularly focused on one of the case–control studies, which had concluded that the association between CMT and vertebral artery related stroke was not causal. It was suggested by the authors of the recent article that misclassification led to an underestimation of risk. We argue that the information presented in that article does not support the authors’ claim for a variety of reasons, including the fact that the assumptions upon which their analysis is based lack substantiation and the fact that any possible misclassification would not have changed the conclusion of the study in question. Conclusion: Current evidence does not support the notion that misclassification threatens the validity of recent case–control studies investigating the relationship between CMT and VAD. Hence, the recent re-analysis cannot refute the conclusion from previous studies that CMT is not a cause of VAD.https://doi.org/10.1186/s12998-016-0124-