TL;DR: The system, NetSieve, combines statistical natural language processing (NLP), knowledge representation, and ontology modeling to achieve these goals and achieves 89%-100% accuracy and its inference output is useful to learn global problem trends.
Abstract: This paper presents NetSieve, a system that aims to do automated problem inference from network trouble tickets Network trouble tickets are diaries comprising fixed fields and free-form text written by operators to document the steps while troubleshooting a problem Unfortunately, while tickets carry valuable information for network management, analyzing them to do problem inference is extremely difficult--fixed fields are often inaccurate or incomplete, and the free-form text is mostly written in natural language
This paper takes a practical step towards automatically analyzing natural language text in network tickets to infer the problem symptoms, troubleshooting activities and resolution actions Our system, NetSieve, combines statistical natural language processing (NLP), knowledge representation, and ontology modeling to achieve these goals To cope with ambiguity in free-form text, NetSieve leverages learning from human guidance to improve its inference accuracy We evaluate NetSieve on 10K+ tickets from a large cloud provider, and compare its accuracy using (a) an expert review, (b) a study with operators, and (c) vendor data that tracks device replacement and repairs Our results show that NetSieve achieves 89%-100% accuracy and its inference output is useful to learn global problem trends We have used NetSieve in several key network operations: analyzing device failure trends, understanding why network redundancy fails, and identifying device problem symptoms
TL;DR: This position statement recommends that remote monitoring be available at all device follow-up clinics as an integral part of the standard of care of device patients and also provides helpful advice to centres for the proper design, implementation, and integration of a remote monitoring system into the clinic.
TL;DR: In this paper, a system and method for providing assistance to a customer of a computing device is presented, where an incoming call is received from a device of a customer; a check for identification of the customer is done; an event history of the device is obtained; and a solution is provided to the customer using the event history.
Abstract: A system and method for providing assistance to a customer of a computing device. In one aspect, an incoming call is received from a device of a customer; a check for identification of the customer is done; an event history of the device is obtained; and a solution is provided to the customer using the event history. In another aspect, a method includes: receiving a code from a mobile computing device; and in response to receiving the code, calculating at least one set of data for use in guiding a request of a customer for service to a resource that can provide a suggested remedy. In another aspect, a method includes: identifying a user associated with a mobile computing device; determining an event history of the mobile computing device; and providing guidance to resolve an issue based on the event history.
TL;DR: In this paper, the authors present a system that automatically reports and collects security surveillance problems, devices problems, device status, device diagnostics and device state information from cameras and security detection equipment.
Abstract: An invention that automatically reports and collects security surveillance problems, device problems, device status, device diagnostics and device state information from cameras and security detection equipment. Devices may be attached to a computer network or attached through a device controller on a computer network but are not limited to only that topology. The device or the controller monitors the operation of devices and tracks any status, failures, intrusions or operational irregularities. Each detected occurrence is either recorded at the device or controller for later reporting or reported immediately to network administration centers. As much diagnostic information as possible is collected, recorded and reported. The device or the controller may also keep track of trend information and report that as well. The administration center collects the information and produces alerts and notifications as configured. These alerts and notifications may not be related to a single problem or intrusion but may be based on trend or diagnostic information. In addition the administration center analyzes the collected information and reports on intrusions, problems or other information of interest to a security system. Special charts, graphs, histogram and other reports are produced by the system to aid in proactive diagnosis, problem prediction and behavior patterns. The system produces predictive information based on trend and periodic information to alert operators of potential upcoming problems and behavior. The data and reports are available for viewing from a range of display devices that includes desktop computers (workstations and servers), laptops computers, notebook computers, cell phones, handhelds, PDAs, etc.
TL;DR: In this article, a learning device based on Problem Based Learning with a scientific approach has a significant impact toward class VIII students of Islamic junior high school (MTs) ability in solving mathematics problem.
Abstract: The problem in this study is the students' mathematical problem solving ability is still low, the cause is that the learning device designed by the teacher has not supported the formation of these abilities. Through learning device development will improve students� mathematical problem solving. This is a development research with Plomp model. The Statistic Group Comparison Design is the experimental design being used in this research. Research result reveals that: (1) Learning device developed by the researcher is 3. 55 in average resulted from validation result by experts and it is a very valid category. (2) On average both teacher and students respond toward learning device based on Problem Based Learning as a whole is valid with 80.675% average percentage and in including in a good or practical respond criteria. (3) Students learning result reveals sig. score (2-tailed) 0.014 smaller than (0.05) score, hence is rejected and is accepted. Conclusions obtained that learning device based on Problem Based Learning with a scientific approach has a significant impact toward class VIII students of Islamic Junior High School (MTs) ability in solving mathematics problem