Conception of time synchronization performance monitoring system

2015 ◽  
Author(s):  
Guangquan Wang ◽  
He Zhang ◽  
Xin Liu
Keyword(s):  
Monitoring System ◽  
Performance Monitoring ◽  
Time Synchronization ◽  
Synchronization Performance

Design of Performance Monitoring System for eLoran Time Synchronization Service

2021 ◽  
Vol 27 (6) ◽  
pp. 815-821
Author(s):  
Seo Seo ◽  
◽  
Pyo-Woong Son ◽  
Younghoon Han ◽  
Sang-Hyun Park ◽  
...  
Keyword(s):  
Monitoring System ◽  
Performance Monitoring ◽  
Time Synchronization

Efficient but less mobilized monitoring system in individuals with high aggressive predispositions

2019 ◽  
Author(s):  
Fanny Grisetto ◽  
Yvonne N. Delevoye-Turrell ◽  
Clémence Roger
Keyword(s):  
Cognitive Control ◽  
Monitoring System ◽  
Congruency Effect ◽  
Performance Monitoring ◽  
Simon Task ◽  
Aggressive Behaviors ◽  
Eeg Recordings ◽  
Global Reduction

Aggressive behaviors in pathological and healthy populations have been largely related to poor cognitive control functioning. However, few studies investigated the influence of aggressive traits (i.e., aggressiveness) on cognitive control. In the current study, we investigated the effects of aggressiveness on cognitive control abilities and particularly, on performance monitoring. Thirty-two participants performed a Simon task while electroencephalography (EEG) and electromyography (EMG) were recorded. Participants were classified as high and low aggressive using the BPAQ questionnaire (Buss & Perry, 1992). EMG recordings were used to reveal three response types by uncovering small incorrect muscular activations in ~15% of correct trials (i.e., partial-errors) that have to be distinguished from full-error and pure-correct responses. For these three response types, EEG recordings were used to extract fronto-central negativities indicative of performance monitoring, the error and correct (-related) negativities (ERN/Ne and CRN/Nc). Behavioral results indicated that the high aggressiveness group had a larger congruency effect compared to the low aggressiveness group, but there were no differences in accuracy. EEG results revealed a global reduction in performance-related negativities amplitudes in all the response types in the high aggressiveness group compared to the low aggressiveness group. Interestingly, the distinction between the ERN/Ne and the CRN/Nc components was preserved both in high and low aggressiveness groups. In sum, high aggressive traits did not affect the capacity to self-evaluate erroneous from correct actions but are associated with a decrease in the importance given to one’s own performance. The implication of these findings are discussed in relation to pathological aggressiveness.

Design of distributed and self-adaptive performance monitoring system based on software rejuvenation

2010 ◽  
Vol 30 (6) ◽  
pp. 1642-1644
Author(s):  
Jing YOU ◽  
Kang-ning XU ◽  
Hong-yuan WANG ◽  
Ya-nan YANG ◽  
Jin-shu GAO
Keyword(s):  
Monitoring System ◽  
Performance Monitoring ◽  
Adaptive Performance ◽  
Software Rejuvenation ◽  
Self Adaptive

Compressor Computerized Performance Monitoring System CPMS

2021 ◽  
Author(s):  
Vadim Goryachikh ◽  
Fahad Alghamdi ◽  
Abdulrahman Takrouni
Keyword(s):  
Natural Gas ◽  
Real Time ◽  
Monitoring System ◽  
Performance Monitoring ◽  
Compressibility Factor ◽  
Background Information ◽  
Monitoring Systems ◽  
Turbo Expander ◽  
Time Calculation ◽  
Performance Deterioration

Abstract Background information Natural gas liquid (NGL) production facilities, typically, utilize turbo-expander-brake compressor (TE) to generate cold for C2+ separation from the natural gas by isentropic expansion of feed stream and use energy absorbed by expansion to compress residue gas. Experience shows that during operational phase TE can exposed to operation outside of design window that may lead to machine integrity loss and consequent impact on production. At the same time, there is a lack of performance indicators that help operator to monitor operating window of the machine and proactively identify performance deterioration. For instance, TE brake compressor side is always equipped with anti-surge protection system, including surge deviation alarms and trip. However, there is often gap in monitoring deviation from stonewall region. At the same time, in some of the designs (2×50% machines) likelihood of running brake compressor in stonewall is high during one machine trip or train start-up, turndown operating modes. Also, typical compressor performance monitoring systems does not have enough dynamic parameters that may indicate machine process process performance deterioration proactively (real-time calculation of actual polytrophic efficiency, absorbed power etc.) and help operator to take action before catastrophic failure occurs. In addition, typical compressor monitoring systems are based on assumed composition and fixed compressibility factor and do not reflect actual compositions variations that may affect machine performance monitoring. To overcome issues highlighted above, Hawiyah NGL (HNGL) team has developed computerized monitoring and advisory system to monitor the performance of turbo-expander-brake compressor, proactively, identify potentially unsafe conditions or performance deterioration and advice operators on taking necessary actions to avoid unscheduled deferment of production. Computerized performance monitoring system has been implemented in HNGL DCS (Yokogawa) and utilized by control room operators on day-to-day basis. Real-time calculation, analysis and outputs produced by performance monitoring system allow operator to understand how current operating condition are far from danger zone. Proactive deviation alarms and guide messages produce by the system in case of deviation help operators to control machine from entering unsafe region. Actual polytrophic efficiency, adsorbed power calculations provide machine condition status and allow identifying long-term performance deterioration trends.

scholarly journals Sistem Monitoring Kinerja Dosen Pada Institusi Perguruan Tinggi Swasta (Studi Kasus: Universitas Abdurrab)

2020 ◽  
Vol 11 (2) ◽  
pp. 198-208
Author(s):  
Salamun Salamun ◽  
Diki Arisandi
Keyword(s):  
Higher Education ◽  
Monitoring System ◽  
Performance Monitoring ◽  
System Modeling ◽  
Unified Modeling Language ◽  
Opportunity To Learn ◽  
Working Hours ◽  
Ministry Of Education ◽  
Credit Score ◽  
University Leaders

Dosen dalam aktivitas keseharian memiliki tiga kewajiban yang dikenal dengan “Tridharma perguruan tinggi”. Kurangnya monitoring kinerja dosen dalam beberapa kegiatan yang wajib menyebabkan pimpinan universitas sulit mendapatkan laporan yang rutin dari dosen, sistem ini dibangun berbasis web dengan metode waterfall. Fungsi yang terdapat dalam sistem mencakup input kinerja dosen dalam bidang tri darma perguruan tinggi, yang akan menghasilkan laporan kinerja beserta jam kerja dosen setiap minggu nya. Beberapa pihak seperti atasan Dosen, Asesor, dan pihak kepegawaian di Universitas perlu melakukan monitoring terhadap perkembangan aktivitas setiap dosennya pada tiap semester. Penelitian ini dimulai dari penelusuran referensi pedoman angka kredit dari kementerian pendidikan dan kebudayaan, setelah itu kami melakukan wawancara dengan pihak dari kepegawaian untuk perancangan sistem monitoring yang akan dibuat. sistem yang dibuat menggunakan kerangka kerja waterfall dan pemodelan sistem menggunakan unified modelling language (UML). Sebelum sistem diimplementasikan, pengujian diawali dengan membagikan panduan pengguanaan terlebih dahulu dan memberikan kesempatan kepada entitas yang terlibat untuk mempelajarinya. Pengujian lebih ditekankan pada aspek penguasaan terhadap penggunaan sistem ini. Hasil dari penelitian ini yaitu sistem yang dapat merekam kinerja seluruh dosen secara digital, dan informasi kinerja dosen dapat diakses oleh pihak universitas untuk dijadikan bahan untuk penilaian kinerja dimasa mendatang.   Kata kunci: kinerja, monitoring, sistem, Tridharma perguruan tinggi, dosen.   Abstract Lecturers in their daily activities have three obligations, known as “three pillars of higher education.” Insufficient monitoring of lecturers' performance in their mandatory activities may cause difficulty for university leaders to obtain regular reports from lecturers. We built a system on a web-based basis with the waterfall method, contained an input page for the performance of lecturers in their mandatory activity, which will generate performance reports, including the working hours every week. Some Persons are required to monitor the activities of each lecturer in every semester. We started to trace the reference for the credit score guideline from the ministry of education and culture, then we conduct interviews with Human Resources Department for monitoring system design. The systems created using the waterfall framework and system modeling using the unified modeling language (UML). Before implementation, we were conducting testing by sharing the user guide and giving the involved entities the opportunity to learn it. Testing is more emphasized on aspects of mastery of the use of the system. The outcome of this work is a system that can record the performance of all lecturers digitally, and lecturer performance information can be accessed by the university as a materiall for further assessments. Keywords: performance, monitoring, system, three pillars of higher education, lecturer.

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