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Bank Corporate Lending: A Bubble in Progress and Suggested Remedies
No full textThe causes of the Great Recession that began in 2008, and the solutions to prevent a recurrence, have been argued over endlessly. The government has responded with various actions: e.g., the Dodd-Frank Act (2010); stronger oversight of the activities of commercial and investment banks; and other measures. A significant unaddressed financial concern are the procedures for bank lending to businesses, which is largely unrestricted as to loan policies, required collateral and other safeguards, and the strength of loan covenants that protect the bank during the duration of the loan. This paper discusses the situation with regard to loan covenants and suggests various remedies
Secure Cloud WLAN using Dynamic Placement with a Cloud Name Resolution Protocol
No full textCloud computing has displayed many intriguing possibilities since it was launched. Few of the cloud computing systems are centralized and might lead to bottlenecks under heavy traffic. This situation will influence security and leads to blockage of a greater part in the network especially when important routers and servers are not working. In the present years there has been a great development on Peer-to-Peer (P2P) cloud computing. In this work, we are providing a protocol to allow cloud servers easily interact and transport session state data between one another. The proposed methodology has been implemented using Visual Studio platform. The platform has been extensively tested and it has demonstrated promising results
Digital Controller Design and Implementation on a Buck-Boost Converter for Photovoltaic Systems
No full textPhotovoltaic systems are widely used to convert solar energy to electricity. The output of the PV system is strongly affected by the weather. In order to maintain the stability of the power, rechargeable battery is necessary to store the electricity temporarily. The objective, in this poster, is to make the output voltage of PV (solar panel) constant to connect its rechargeable battery 12v DC. In details, MATLAB- Simulink is used to simulate the power stage (Buck- Boost converter) and closed loop of feedback controller. Also, the Arduino Uno is used to implement and test PID (proportional, integral, derivative) controller. Results from MATLAB simulation and experiments will be presented
Bilateral Pectoralis Minor Muscle Variant
No full textDuring a routine anatomical dissection we discovered an aberrant muscle slip associated with the pectoralis minor muscle that occurred bilaterally.The muscle slips originated from ribs five or six and inserted into the tendon of the coracobrachialis in close proximity to the coracoid process of the scapula.Fibers of the muscle slip also blended with the pectoralis minor muscle on its lateral border and were innervated by the medial pectoral nerve. Many of the muscular variants reported in the literature are discovered during routine cadaveric dissection and are of great interest to anatomists and developmental biologists. However, recognizing and understanding both normal and variant anatomy of the anterior thorax and axilla is of critical importance to health care professionals when diagnosing, imaging, or surgically treating these areas. It is not uncommon to observe known anatomical variants during cadaveric dissection, however many of these variants are not commonly discussed during the regular clinical coursework of health care professionals. The result is a gap of knowledge for clinicians who are more likely to confuse the variant with some form of pathology. This may result in improper or delayed treatment. For this reason it is important to add variants such as the one in this case to the anatomical record
Patient safety & satisfaction with Electroacupuncture in a teaching clinic, a survey of interns and patients
No full textAcupuncture, including electroacupuncture, is an important modality in TCM therapies. Acupuncture is increasingly used in Europe and North America. Its widening acceptance demands continual safety assessment. This pilot study was to evaluate the frequency and severity of adverse events (AEs) for electroacupuncture in a teaching clinic. Needle-only acupuncture has a high patient satisfaction rate and low adverse event (AE) rate. Our study demonstrated that the satisfaction with and safety of electroacupuncture and needle-only acupuncture are similar
Improvement of Porsche Cayenne Aerodynamics using Reverse Engineering, CAE and Rapid Prototyping
No full text© ASEE 2015The external vehicle aerodynamics have a strong impact on the vehicle’s fuel efficiency and handling behavior. External aerodynamic simulations using computational fluid dynamics (CFD) have been used in the automotive industry to develop modern cars. This project aims to study the external aerodynamics of a Porsche Cayenne model. The car model is scanned by a 3D laser scanner and the scanned data is used to reconstruct the 3D CAD model by reverse engineering for CFD simulation. The CFD simulation results will be used to develop a new car model shape to improve the aerodynamic performance. The new car model will be prototyped by a 3D printer
Analytical Study of Pre-Congestion Notification (PCN) Techniques
No full textMaintaining the quality of service (QOS) and controlling the network congestion are quite complicated tasks. They cause degrading the performance of the network, and disturbing the continuous communication process. To overcome these issues, one step towards this dilemma has been taken in form of Pre-congestion notification (PCN) technique. PCN uses a packet marking technique within a PCN domain over IP networks. It is notified by egress node that works as guard at entry point of network. Egress node gives feedback to communicating servers whether rate on the link is exceeded than configured admissible threshold or within the limit. Based on this feedback, admission decisions are taken to determine whether to allow/block new coming flows or terminate already accepted. The actual question is about selection of right algorithm for PCN domain. In this paper, we investigate the analytical behavior of some known PCN algorithms. We make slide modifications in originality of PCN algorithms without disquieting working process in order to employ those within similar types of scenarios. Our goal is to simulate them either in highly congested or less congested realistic scenarios. On the basis of simulation done in ns2, we are able to recommend each PCN algorithm for specific conditions. Finally, we develop a benchmark that helps researchers and scientific communities to pick the right algorithm. Furthermore, the benchmark is designed to achieve specific objectives according to the users’ requirements without congesting the network
A Near Real-Time, Highly Scalable, Parallel and Distributed Adaptive Object Detection and Re-Training Framework Based on the Adaboost Algorithm
No full textObject detection, such as face detection using supervised learning, often requires extensive training for the computer, which results in high execution times. If the trained system needs re-training in order to accommodate a missed detection, waiting several hours or days before the system is ready may be unacceptable in practical implementations. This dissertation presents a generalized object detection framework whereby the system can efficiently adapt to misclassified data and be re-trained within a few minutes. Our developed methodology is based on the popular AdaBoost algorithm for object detection. AdaBoost functions by iteratively selecting the best among weak classifiers, and then combining several weak classifiers in order to obtain a stronger classifier. Even though AdaBoost has proven to be very effective, its learning execution time can be high depending upon the application. For example, in face detection, learning can take several days. In our dissertation, we present two techniques that contribute to reducing to the learning execution time within the AdaBoost algorithm. Our first technique utilizes a highly parallel and distributed AdaBoost algorithm that exploits the multiple cores in a CPU via lightweight threads. In addition, our technique uses multiple machines in a web service similar to a map-reduce architecture in order to achieve a high scalability, which results in a training execution time of a few minutes rather than several days. Our second technique is a methodology to create an optimal training subset to further reduce the training execution time. We obtained this subset through a novel score-keeping of the weight distribution within the AdaBoost algorithm, and then removed the images that had a minimal effect on the overall trained classifier. Finally, we incorporated our parallel and distributed AdaBoost algorithm, along with the optimized training subset, into a generalized object detection framework that efficiently adapts and makes corrections when it encounters misclassified data. We demonstrated the usefulness of our adaptive framework by providing detailed testing on face and car detection, and explained how our framework applies to developing any other object detection task
Detection of Trojan horse by Analysis of System Behavior and Data Packets
No full textTrojan horse is said to be one of the most serious threats to computer security. A Trojan horse is an executable file in the Windows operating system. These executable files will have certain static and runtime characteristics. Multiple Windows system process will be called whenever a Trojan horse tries to execute any operation on the system. In this paper a new Trojan horse detection method by using Windows dynamic link libraries to identify system calls from a Trojan horses is explicated. Process explorer is used to identify the malicious executable and to determine whether it is a Trojan or not. Further, an attempt is made to study the network behavior after a Trojan horse is executed using wire shark
The Role of Botanical Medicine in the Prevention and Treatment of Lyme Disease
No full textThis thesis is being archived as a Digitized Shelf Copy for campus access to current students and staff only. We currently cannot provide this open access without the author's permission. If you are the author of this work and desire to provide it open access or wish access removed, please contact the Wahlstrom Library to discuss permission.Lyme disease is the most commonly reported vector borne illness in the US. The bacterial infection cause by Borrelia burgdorferi is transmitted via tick bite. Symptoms of Lyme disease included the characteristic bulls-eye skin rash erythema migrans (EM), which is only present 50% of the time and flu-like symptoms. As the disease progresses neurologic and/or cardiovascular symptoms may appear. Most cases of Lyme disease eventually result in intermittent or persistent arthritis involving one or more large joints, which may be proceeded by migratory arthralgia. Lyme disease has become a controversial topic as there have been disagreements over diagnosis, laboratory testing, and treatment plan. While the medical community debates these points, patients are left confused, and without proper treatment. Even though the majority of the cases in the US are from 14 states in the Northeast and Upper Midwest, it is important for physicians to be aware of the clinical presentation of Lyme and the possibility that a routine round of antibiotics may not resolve the patient’s infection. Botanical Medicine can have a role in the treatment of a patient with Lyme disease as both supplementary antibiotic capacity as well as allowing the practitioner to customize a treatment plan specific to that patient’s presentation. Botanicals can also play an important role for the patient who wants natural ways to prevents Lyme disease specifically through decreasing exposure to tick bites