Use Of Log Files Research Articles

Digital Forensic InnoDB Database Engine for Employee Performance Appraisal Application

Data is something that can be manipulated by irresponsible people and causing fraud. The use of log files, data theft, unauthorized person, and infiltration are things that should be prevented before the problem occurs. The authenticity of application data that evaluates the performance of company employees is very crucial. This paper will explain how to maintain the company’s big data as a valid standard service to assess employee performance database, based on employee performance of MariaDB or MySQL 5.0.11 with InnoDB storage engine. The authenticity of data is required for decent digital evidence when sabotage occurs. Digital forensic analysis carried out serves to reveal past activities, record time and be able to recover deleted data in the InnoDB storage engine table. A comprehensive examination is carried out by looking at the internal and external aspects of the Relational Database Management System (RDBMS). The result of this research is in the form of forensic tables in the InnoDB engine before and after sabotage occurs.

New Insights in the Design and Compilation of Digital Bilingual Lexicographical Products: The Case of the Diccionarios Valladolid-UVa

This contribution deals with a new digital English–Spanish–English lexicographical project that started as an assignment from the Danish high-tech company Ordbogen A/S which signed a contract with the University of Valladolid (Spain) for designing and compiling a digital lexicographical product that is economically and commercially feasible and can be used for various purposes in connection with its expansion into new markets and the launching of new tools and services which make use of lexicographical data. The article presents the philosophy underpinning the project, highlights some of the innovations introduced, e.g. the use of logfiles for compiling the initial lemma list and the order of compilation, and illustrates a compilation methodology which starts by assuming the relevance of new concepts, i.e. object and auxiliary languages instead of target and source languages. The contribution also defends the premise that the future of e-lexicography basically rests on a close cooperation between research centers and high-tech companies which assures the adequate use of disruptive technologies and innovations. Keywords : dictionary concept; empirical resources; logfiles; ngram viewer; internet as a corpus; compilation methods; lexicographical data; online dictionaries; integrated dictionaries; writing assistants; L2-reception dictionaries; L2-production dictionaries; translation dictionaries

User Consultation Behaviour in Internet Dictionaries: An Eye-Tracking Study

The purpose of this paper is to explore and discuss user consultation behaviour on the basis of eye-tracking data and interview data. To date the focus has been almost exclusively on the use of log files in Internet lexicography – an approach which is questioned in this article. The paper is based on empirical data from an exploratory eye-tracking study of the user consultation behaviour of six participants and on interview data from a follow-up post-study interview of the participants. The paper elucidates and discusses the consultation behaviour in Internet lexicography and shows not only at what the participants looked, but also how they accessed lexicographic data. The paper presents a suitable method for using eye-tracking studies in Internet lexicography and advocates an increased use of this method to produce empirical data upon which additional theoretical considerations on the information and data access process can be developed. Finally, the implications for further research in user consultation behaviour are briefly explored.

SU‐F‐T‐172: A Method for Log File QA On An IBA Proteus System for Patient Specific Spot Scanning Quality Assurance

Purpose:The use of log files to perform patient specific quality assurance for both protons and IMRT has been established. Here, we extend that approach to a proprietary log file format and compare our results to measurements in phantom. Our goal was to generate a system that would permit gross errors to be found within 3 fractions until direct measurements. This approach could eventually replace direct measurements.Methods:Spot scanning protons pass through multi‐wire ionization chambers which provide information about the charge, location, and size of each delivered spot. We have generated a program that calculates the dose in phantom from these log files and compares the measurements with the plan. The program has 3 different spot shape models: single Gaussian, double Gaussian and the ASTROID model. The program was benchmarked across different treatment sites for 23 patients and 74 fields.Results:The dose calculated from the log files were compared to those generate by the treatment planning system (Raystation). While the dual Gaussian model often gave better agreement, overall, the ASTROID model gave the most consistent results. Using a 5%–3 mm gamma with a 90% passing criteria and excluding doses below 20% of prescription all patient samples passed. However, the degree of agreement of the log file approach was slightly worse than that of the chamber array measurement approach. Operationally, this implies that if the beam passes the log file model, it should pass direct measurement.Conclusion:We have established and benchmarked a model for log file QA in an IBA proteus plus system. The choice of optimal spot model for a given class of patients may be affected by factors such as site, field size, and range shifter and will be investigated further.

Assessing the quality of proton PBS treatment delivery using machine log files: comprehensive analysis of clinical treatments delivered at PSI Gantry 2

Pencil beam scanning (PBS) proton therapy requires the delivery of many thousand proton beams, each modulated for position, energy and monitor units, to provide a highly conformal patient treatment. The quality of the treatment is dependent on the delivery accuracy of each beam and at each fraction. In this work we describe the use of treatment log files, which are a record of the machine parameters for a given field delivery on a given fraction, to investigate the integrity of treatment delivery compared to the nominal planned dose. The dosimetry-relevant log file parameters are used to reconstruct the 3D dose distribution on the patient anatomy, using a TPS-independent dose calculation system. The analysis was performed for patients treated at Paul Scherrer Institute on Gantry 2, both for individual fields and per series (or plan), and delivery quality was assessed by determining the percentage of voxels in the log file dose distribution within +/− 1% of the nominal dose. It was seen that, for all series delivered, the mean pass rate is 96.4%. Furthermore, this work establishes a correlation between the delivery quality of a field and the beam position accuracy. This correlation is evident for all delivered fields regardless of individual patient or plan characteristics. We have also detailed further usefulness of log file analysis within our clinical workflow.In summary, we have highlighted that the integrity of PBS treatment delivery is dependent on daily machine performance and is specifically highly correlated with the accuracy of beam position. We believe this information will be useful for driving machine performance improvements in the PBS field.

Parallel/Opposed: IMRT QA using treatment log files is superior to conventional measurement-based method.

Parallel/Opposed: IMRT QA using treatment log files is superior to conventional measurement-based method.

Monitoring daily MLC positional errors using trajectory log files and EPID measurements for IMRT and VMAT deliveries

This work investigated the differences between multileaf collimator (MLC) positioning accuracy determined using either log files or electronic portal imaging devices (EPID) and then assessed the possibility of reducing patient specific quality control (QC) via phantom-less methodologies. In-house software was developed, and validated, to track MLC positional accuracy with the rotational and static gantry picket fence tests using an integrated electronic portal image. This software was used to monitor MLC daily performance over a 1 year period for two Varian TrueBeam linear accelerators, with the results directly compared with MLC positions determined using leaf trajectory log files. This software was validated by introducing known shifts and collimator errors. Skewness of the MLCs was found to be 0.03 ± 0.06° (mean ±1 standard deviation (SD)) and was dependent on whether the collimator was rotated manually or automatically. Trajectory log files, analysed using in-house software, showed average MLC positioning errors with a magnitude of 0.004 ± 0.003 mm (rotational) and 0.004 ± 0.011 mm (static) across two TrueBeam units over 1 year (mean ±1 SD). These ranges, as indicated by the SD, were lower than the related average MLC positioning errors of 0.000 ± 0.025 mm (rotational) and 0.000 ± 0.039 mm (static) that were obtained using the in-house EPID based software. The range of EPID measured MLC positional errors was larger due to the inherent uncertainties of the procedure. Over the duration of the study, multiple MLC positional errors were detected using the EPID based software but these same errors were not detected using the trajectory log files. This work shows the importance of increasing linac specific QC when phantom-less methodologies, such as the use of log files, are used to reduce patient specific QC. Tolerances of 0.25 mm have been created for the MLC positional errors using the EPID-based automated picket fence test. The software allows diagnosis of any specific leaf that needs repair and gives an indication as to the course of action that is required.

Use of electronic clinical documentation: time spent and team interactions

To measure the time spent authoring and viewing documentation and to study patterns of usage in healthcare practice. Audit logs for an electronic health record were used to calculate rates, and social network analysis was applied to ascertain usage patterns. Subjects comprised all care providers at an urban academic medical center who authored or viewed electronic documentation. Rate and time of authoring and viewing clinical documentation, and associations among users were measured. Users spent 20-103 min per day authoring notes and 7-56 min per day viewing notes, with physicians spending less than 90 min per day total. About 16% of attendings' notes, 8% of residents' notes, and 38% of nurses' notes went unread by other users, and, overall, 16% of notes were never read by anyone. Viewing of notes dropped quickly with the age of the note, but notes were read at a low but measurable rate, even after 2 years. Most healthcare teams (77%) included a nurse, an attending, and a resident, and those three users' groups were the first to write notes during an admission. Limitations The limitations were restriction to a single academic medical center and use of log files without direct observation. Care providers spend a significant amount of time viewing and authoring notes. Many notes are never read, and rates of usage vary significantly by author and viewer. While the rate of viewing a note drops quickly with its age, even after 2 years inpatient notes are still viewed.

Hypermedia navigation: Profiles of hypermedia users

In this study we explored the use of log files as a window into the process of hypermedia navigation. Although there is a growing body of research addressing theoretical and design issues related to open-ended, non-directive technologies such as hypermedia, relatively few studies have attempted to explain navigational performance. Sixty-six undergraduate students used a multidimensional, computer-based kiosk that could be explored in a nonlinear fashion to find information in response to one of two information-retrieval tasks (simple or complex). Cluster analysis was used to generate performance profiles derived from navigational data captured in log files. Analyses of within-cluster performance profiles, combined with external validation criteria, led to the classification of four different types of navigational performance (models users, disenchanted volunteers, feature explorers, and cyber cartographers). These characterizations were consistent with information-retrieval scores and the external criteria (self-efficacy, perceived utility, and interest). For example, individuals who appeared to take the time to learn the layout of the kiosk also had the highest self-efficacy, while those who used the help screen and watched the most movies had the lowest self-efficacy. Results also demonstrated an interaction between various individual navigational profiles and type of information-retrieval task.

Log files: an extended file service exploiting write-once storage

A log service provides efficient storage and retrieval of data that is written sequentially (append-only) and not subsequently modified. Application programs and subsystems use log services for recovery, to record security audit trails, and for performance monitoring. Ideally, a log service should accommodate very large, long-lived logs, and provide efficient retrieval and low space overhead. In this paper, we describe the design and implementation of the Clio log service. Clio provides the abstraction of log files : readable, append-only files that are accessed in the same way as conventional files. The underlying storage medium is required only to be append-only; more general types of write access are not necessary. We show how log files can be implemented efficiently and robustly on top of such storage media—in particular, write-once optical disk. In addition, we describe a general application software storage architecture that makes use of log files. This work was supported in part by the Defense Advanced Research Projects Agency under contracts N00039-84-C-0211 and N00039-86-K-0431, by National Science Foundation grant DCR-83-52048, and by Digital Equipment Corporation, Bell-Northern Research and AT&T Information Systems.