Solving Performance Problems Research Articles

Solving Performance Problems of the State Civil Apparatus (ASN) in Ramanuju District Cilegon City Seen from the Influence of Organizational Culture, Work Capability and Job Satisfaction

This research discusses how to resolve performance problems of the State Civil Apparatus (ASN) in Ramanuju Village, Cilegon City, seen from the influence of organizational culture, work ability and satisfaction. The population and sample in this study were 91 respondents in Ramanuju Village, Cilegon City, sampling using the saturated sampling method. Data was collected using a questionnaire method, and the analysis used was data instrument testing, classical assumption testing, multiple regression analysis, coefficient of determination and hypothesis testing using SPSS for Windows. Based on the research results, it can be concluded that: the first hypothesis test shows that there is a partial significant influence of the organizational culture variable on the performance of the State Civil Apparatus (ASN) t-count 4.903 > t-table 1.986, the second hypothesis shows that there is a partial significant influence of the variable work ability on the performance of the State Civil Apparatus (ASN) t-count 2.048 > t-table 1.986, the third hypothesis shows that there is a partially significant influence of the job satisfaction variable on the performance of the State Civil Apparatus (ASN) t-count 2.830 > t-table 1.986 and the fourth hypothesis shows that there is a significant simultaneous influence of the variables organizational culture, work ability and job satisfaction on the performance of the State Civil Apparatus (ASN) f-count 19.741> f-table 3.10. The limitations of this research are that for further research, it is hoped that the research methodology and other variables will be changed so that it is hoped that there will be improvements or strengthening of performance

Sistem Deteksi Intrusi pada Server secara Realtime Menggunakan Seleksi Fitur dan Firebase Cloud Messaging

Intrusion detection is one of the fundamental parts of a security tool, such as adaptive security tools, intrusion detection systems, intrusion prevention systems and firewalls. There are various kinds of intrusion detection techniques used, the main problem of this intrusion technique is the performance problem. The accuracy of the intrusion detection technique greatly affects its performance, which needs to be improved to reduce the false alarm rate and increase the detection rate. In solving performance problems, multilayer perceptron, support vector machine (SVM), and other techniques have been used recently. This technique shows limitations and is inefficient for use in large data sets, such as system and network data. Intrusion detection systems are used in analyzing a very large data traffic; thus, an efficient classification technique is needed to overcome these problems. This issue is considered in this paper. The well-known machine learning techniques, namely, SVM, random forest, and extreme machine learning will be applied. These techniques are well known for their ability to classify. NSL knowledge discovery and data mining datasets were used, which were considered as benchmarks in the evaluation of intrusion detection mechanisms. The results show that ELM outperforms other approaches. Utilization of Firebase Cloud Messaging because it can work with multiple platforms in addition to the availability of a file store that can store all logs created by the JALA application.

Exploring Memory Access Patterns for Graph Processing Accelerators

Recent trends in business and technology (e.g., machine learning, social network analysis) benefit from storing and processing growing amounts of graph-structured data in databases and data science platforms. FPGAs as accelerators for graph processing with a customizable memory hierarchy promise solving performance problems caused by inherent irregular memory access patterns on traditional hardware (e.g., CPU). However, developing such hardware accelerators is yet time-consuming and difficult and benchmarking is non-standardized, hindering comprehension of the impact of memory access pattern changes and systematic engineering of graph processing accelerators. In this work, we propose a simulation environment for the analysis of graph processing accelerators based on simulating their memory access patterns. Further, we evaluate our approach on two state-of-the-art FPGA graph processing accelerators and show reproducibility, comparablity, as well as the shortened development process by an example. Not implementing the cycle-accurate internal data flow on accelerator hardware like FPGAs significantly reduces the implementation time, increases the benchmark parameter transparency, and allows comparison of graph processing approaches.

Rapid needs assessment: an evidence-based model

PurposeAlthough conducting a needs assessment has been accepted as the first step in solving performance problems, many human resource development (HRD) and training professionals find it still difficult to conduct an effective and efficient needs assessment. The primary reasons are the lack of a guiding model based on empirical evidence and the pressing need for a cost-effective approach. To resolve these issues, this paper aims to explore ways to conduct a needs assessment and propose an evidence-based needs assessment model.Design/methodology/approachFollowed the guidelines provided by Richey and Klein (2007), a design and development research was conducted. From the in-depth interviews with participants, the author proposed a more rapid model of needs assessment.FindingsThe salient features of the rapid needs assessment model are utilizing hypothetical interventions at an earlier stage in the process and gaining a commitment from the client across the entire process. Due to the exploratory nature of the present study, the rapid needs assessment model calls for further investigation in terms of strengths and weaknesses, and validation through multiple-case studies.Originality/valueThree significant features of the rapid needs assessment model are different from the existing needs assessment models: developing initial hypothetical interventions, engaging in an interactive and cyclical process and including the client in the whole process. The proposed model can also be used to guide HRD professionals which lays out the process and activities of needs assessment especially when the project due date is imminent, when performance problems should be addressed quickly or when the client requires results or at least the blueprint at an earlier phase.

Building application-specific operating systems: a profile-guided approach

Although operating system optimization has been studied extensively, previous work mainly focuses on solving performance problems. In the cloud era, many servers only run a single application, making it desirable to provide anapplication-specific operating system (ASOS) that is most suitable for the application.In contrast to existing approaches that build ASOS by manual redesign and reimplementation, this paper presents Tarax, a compiler-based approach to constructing an ASOS for each application. With profile collected from executing the target application on an instrumented Linux kernel, Tarax recompiles the kernel while applying profile-guided optimizations (PGOs).Although GCC has already implemented the optimization process that can be applied to user applications, it does not work on the Linux kernel directly. We modify the Linux kernel and GCC to support kernel instrumentation and profile collection. We also modify GCC to reduce the size of optimized kernel images.We conduct experiments on six popular server applications: Apache, Nginx, MySQL, PostgreSQL, Redis and Memcached. Experimental results show that application performance improves by 8.8% on average (up to 16%) on the ASOS. We also perform detailed analysis to reveal how the resulting ASOS improves performance, and discuss future directions in ASOS construction.

A Model for e-Learning Systems Success: Systems, Determinants, and Performance

E-learning is used by higher education institutions and corporate training institutes as a means of solving performance problems, and the accessibility to educational technology which considered as vital for acquisition and dissemination of knowledge to students, as well as interaction between instructors and students. To determine technological solutions for those institutions, an analysis to the literature, and related theories have been conducted depending on the context impact to e-learning system, as well as the interrelationship between e-learning system components and its impact on learner performance. The main findings show that e-learning system is composed of four components, mainly; the instructor, learner, course, and information and communication technologies (ICT), in addition to the context determinants of e-learning system success. The current study, proposed a model for e-learning success, which incorporates eight factors, mainly; e-learning context that include individual, institutional, and environmental determinants to e-learning success. In addition to e-learning components which include instructor, learner, course, and ICT. As well as the learner performance, that aims to measure e-learning success. The proposed model was designed to integrate prior research in the area of e-learning, where it adds set of determinants to e-learning systems success, and find out the best fit of e-learning system components. Moreover, educational institutions can use this proposed model.

Performance-driven software model refactoring

ContextSoftware refactoring is a common practice aimed at addressing requirements or fixing bugs during the software development. While refactoring related to functional requirements has been widely studied in the last few years, non-functional-driven refactoring is still critical, mostly because non-functional characteristics of software are hard to assess and appropriate refactoring actions can be difficult to identify. In the context of performance, which is the focus of this paper, antipatterns represent effective instruments to tackle this issue, because they document common mistakes leading to performance problems as well as their solutions. ObjectiveIn order to effectively reuse the knowledge beyond performance antipatterns, automation is required to detect and remove them. In this paper we introduce a framework that enables, in an unique tool context, the refactoring of software models driven by performance antipattern detection and removal. MethodWe have implemented, within the EPSILON platform, detection rules and refactoring actions on UML models for a set of well-known performance antipatterns. By exploiting the EPSILON languages to check properties and apply refactoring on models, we enable three types of refactoring sessions. ResultsWe experiment our framework on a Botanical Garden Management System to show, on one side, that antipatterns can effectively drive software refactoring towards models that satisfy performance requirements and, on the other side, that the automation introduced by EPSILON-based sessions enables to inspect multiple paths and to propose a variety of solutions. ConclusionThis work demonstrates that automation in performance-driven software model refactoring can be beneficial, and that performance antipatterns can be powerful instruments in the hands of software engineers for detecting (and solving) performance problems usually hidden to traditional bottleneck analysis. This work also opens the road to the integration of well-known techniques for software refactoring driven by functional requirements with novel techniques addressing non-functional requirements like performance.

An Assessment-based Solution to a Human-Service Employee Performance Problem: An Initial Evaluation of the Performance Diagnostic Checklist - Human Services.

The PDC-HS implicated a lack of proper training on participant duties and a lack of performance feedback as contributors to the performance problems. As a result, an intervention targeting training on participant duties and performance feedback was implemented across eight treatment rooms; the intervention increased performance in all rooms. This preliminary validation study suggests the PDC-HS may prove useful in solving performance problems in human-service settings.

Valuing the Gilbert Model

Leaders such as Thomas Gilbert, Geary Rummier, and Edward Deming have argued that the greatest leverage for solving performance problems lies with solutions targeted at system or environmental factors (those under the control of management) versus individual performer factors. A 12-item research instrument titled Achieving Productive Performance (APP) was developed based on the six variables that make up Gilbert's human performance model. MBA candidates whoworkfull-time primarily in middle management positions were asked to make value judgments on strategies for producing productive performance (where value for the performance exceeds the costs), Results support the concept of leverage espoused by Gilbert, Rummier, and Deming. Implications for workplace learning and performance professionals are discussed.

Engineering effective learning toolkit

Performance ImprovementVolume 43, Issue 5 p. 40-42 Book Review Engineering effective learning toolkit Harold D. Stolovitch, Harold D. Stolovitch and Erica J. Keeps are Principals in HSA Learning & Performance Solutions LLC, an international firm that specializes in the application of instructional technology and human performance technology. They are coeditors of both editions of the award-winning Handbook of Human Performance Technology: A Comprehensive Guide for Analyzing and Solving Performance Problems in Organizations. Harold is a past president of ISPI and former editor of Performance Improvement. Erica is a former executive board member of ISPI and a past president of the Michigan Chapter.Search for more papers by this authorErica J. Keeps, Harold D. Stolovitch and Erica J. Keeps are Principals in HSA Learning & Performance Solutions LLC, an international firm that specializes in the application of instructional technology and human performance technology. They are coeditors of both editions of the award-winning Handbook of Human Performance Technology: A Comprehensive Guide for Analyzing and Solving Performance Problems in Organizations. Harold is a past president of ISPI and former editor of Performance Improvement. Erica is a former executive board member of ISPI and a past president of the Michigan Chapter.Search for more papers by this authorJames D. Russell, Jim Russell is Professor Emeritus of Educational Technology at Purdue University. He continues to teach part time and works for Purdue's Center for Instructional Excellence. During the spring semesters he teaches for the Educational Psychology and Learning Systems Department at Florida State University. He also consults with the Office of Distributed and Distance Learning there. Jim is a frequent book reviewer for Performance Improvement and Performance Improvement Quarterly. He continues to coauthor textbooks such as Instructional Media and Technologies for Learning (7th edition) and Instructional Technology for Teaching and Learning (2nd edition).Search for more papers by this author Harold D. Stolovitch, Harold D. Stolovitch and Erica J. Keeps are Principals in HSA Learning & Performance Solutions LLC, an international firm that specializes in the application of instructional technology and human performance technology. They are coeditors of both editions of the award-winning Handbook of Human Performance Technology: A Comprehensive Guide for Analyzing and Solving Performance Problems in Organizations. Harold is a past president of ISPI and former editor of Performance Improvement. Erica is a former executive board member of ISPI and a past president of the Michigan Chapter.Search for more papers by this authorErica J. Keeps, Harold D. Stolovitch and Erica J. Keeps are Principals in HSA Learning & Performance Solutions LLC, an international firm that specializes in the application of instructional technology and human performance technology. They are coeditors of both editions of the award-winning Handbook of Human Performance Technology: A Comprehensive Guide for Analyzing and Solving Performance Problems in Organizations. Harold is a past president of ISPI and former editor of Performance Improvement. Erica is a former executive board member of ISPI and a past president of the Michigan Chapter.Search for more papers by this authorJames D. Russell, Jim Russell is Professor Emeritus of Educational Technology at Purdue University. He continues to teach part time and works for Purdue's Center for Instructional Excellence. During the spring semesters he teaches for the Educational Psychology and Learning Systems Department at Florida State University. He also consults with the Office of Distributed and Distance Learning there. Jim is a frequent book reviewer for Performance Improvement and Performance Improvement Quarterly. He continues to coauthor textbooks such as Instructional Media and Technologies for Learning (7th edition) and Instructional Technology for Teaching and Learning (2nd edition).Search for more papers by this author First published: 09 February 2007 https://doi.org/10.1002/pfi.4140430510 AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume43, Issue5May/June 2004Pages 40-42 RelatedInformation

First experiences with the modelling and simulation package miracles applied to a picture archiving and communication system (PACS) in a clinical environment

Since the construction of picture archiving and communication systems (PACS) appears to be extremely difficult, computer modelling and simulation are used as decision support tools. The package miracles (Medical Image Representation, Archiving and Communication Learned from Extensive Simulation) has been developed at BAZIS in order to support the construction of simulation models of image information systems. This article discusses the application of miracles to a prototypical PACS as being installed in a clinical environment. Attention is focussed to the required system analysis and difficulties which arose during the construction of the simulation model. The emphasis is on the presentation of the results of the simulation study, which show that simulation can be fruitfully used to predict, to analyse and to assist in solving performance problems. The simulation study confirmed assumptions and suppositions concerning both the system performance itself and strategies to improve the performance. The study also resulted in a number of concrete recommendations which might be useful for the set-up of the prototypical PACS.

From the conference. Job aids & non‐aids in everyday life

Performance + InstructionVolume 24, Issue 8 p. 24-25 Article From the conference. Job aids & non-aids in everyday life Charles O. Probst, Charles O. Probst Cybern Film Systems, Inc., 7257 W. Toughy Avenue, Chicago, IL 60648 Chuck Probst has been involved in training/instruction since 1939. He joined NSPI in 1967. Chuck is a writer, instructional system designer, filmmaker, and engineer, and a Colonel, USAF Ret. His college text, Auto Engines and Electrical Systems, is published by Hearst. He is happiest solving performance problems and developing training systems in technical areas.Search for more papers by this author Charles O. Probst, Charles O. Probst Cybern Film Systems, Inc., 7257 W. Toughy Avenue, Chicago, IL 60648 Chuck Probst has been involved in training/instruction since 1939. He joined NSPI in 1967. Chuck is a writer, instructional system designer, filmmaker, and engineer, and a Colonel, USAF Ret. His college text, Auto Engines and Electrical Systems, is published by Hearst. He is happiest solving performance problems and developing training systems in technical areas.Search for more papers by this author First published: October 1985 https://doi.org/10.1002/pfi.4150240814Citations: 2 AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article.Citing Literature Volume24, Issue8October 1985Pages 24-25 RelatedInformation

A Cooperative Approach to Solving Teaching Problems

These writers provide the format fur a simple, nonthreatening process that allows principal and teacher to work together in solving performance problems.

Solving performance problems in public health

Solving performance problems in public health