From time to time: Processing time reference violations in Dutch

2012 ◽  
Vol 66 (1) ◽  
pp. 307-325 ◽  
Author(s):  
Olga Dragoy ◽  
Laurie A. Stowe ◽  
Laura S. Bos ◽  
Roelien Bastiaanse
2014 ◽  
Vol 14 (63) ◽  
pp. 8848-8871
Author(s):  
H Mensah-Brown ◽  
◽  
EO Afoakwa ◽  
M Hinneh

Central Composite Rotatable Design (CCRD) was used to generate twenty combinations of these factors: blanching time, processing time and sodium metabisulphite concentration. The optimized conditions were then adapted for the canning process of green pepper. Blanching time ranged from 0-1 min whereas processing time and sodium metabisulphite concentration ranged from 10-30 min and 0-0.2%, respectively. The canned products were analyzed for physico-chemical qualities using standard analytical methods. Results obtained from various physicochemical analyses showed variable trends and influences of the linear, quadratic and exponential interactions on the measured quality indices such as pH of the drained liquid, drained weight of the canned product, leached solids and colour of the canned products. The results showed significant (p≤0.05) quadratic effect of sodium metabisulphite as well as linear effect of blanching time on the drained weight of the canned green pepper. Generally, the pH of the medium decreased (increased acidity) with increasing processing time, which was also positively associated with the extent or amount of leaching. Additionally, all three factors were observed to have affected (to variable extent) the colour of the canned products. Blanching and processing times also affected the degree of browning. There was a strong significant (p≤0.05) influence of the quadratic factors of blanching time, processing time and sodium metabisulphite concentration on the colour properties (a-values, b-values and Lvalues) of the canned products. Statistical analysis showed significant (p≤0.05) linear effects of blanching time and sodium salt concentration as well as the combined effect of both factors on all the colour properties. All the studied parameters had significant regression coefficients (p≤0.05) suggesting the studied parameters contributed significantly to the observed changes. Colour of the canned products changed from green toward redness with increasing blanching time at all concentrations of sodium metabisulphite. Optimal processing combination of 0 min blanching time, 10 min processing time and sodium metabisulphite concentration of 0.2% produced a highly acceptable canned pepper product with preferred physico-chemical and appearance properties.


2016 ◽  
Vol 78 (12-2) ◽  
Author(s):  
Razulaimi Razali ◽  
Jafreezal Jaafar

Customer complaint contains valuable information to realize the opportunity to enhance service for customer satisfaction. The main challenge to extract the valuable information is a proper approach managing the complaint data, classification process and high level of uncertainties on the complaint and involvement of experts’ opinion. Besides, most of the existing complaint system still running the complaint handling process manually. The impact is on time processing issue. Another problem, current complaint system focused on the English keyword, while in Malaysia, the complaint system is using Malay wording and keyword. Hence, an effective approach is needed to tackle these issues properly. This paper presents Fuzzy Logic Complaint Handling Algorithm (FLCHA) to handle the complaint handling process. The FLCHA used fuzzy logic approach to classifying real complaint, and non-real complaint, improve time processing and automate the complaint handling process. Customer complaints data from local government in Kuala Lumpur is used for this study to prove the efficiency of the proposed approach. Seven experts from the local government are working together in this study. The domain of the complaint data focused on landscaping and 406 data provided for the testing. Results show that the proposed approach is highly consistent with the human benchmark, efficient and good processing time. Overall GGTrap (fuzzy type-1) membership function using fuzzy number is the best membership function for customer handling process with accuracy 93.35% and processing time 0.441 seconds.


2018 ◽  
Vol 7 (2) ◽  
pp. 7 ◽  
Author(s):  
S Subasree ◽  
N P Gopalan ◽  
N K Sakthivel

Microarray based Cancer Pattern Classification is one of the popular techniques in Bioinformatics Research. This Research Work is noticed that for studying the expression levels through the Gene Expression profiling experiments, thousands of Genes have to be simultaneously studied to understand the patterns of the Gene Expression or Cancer Pattern. This research work proposed an efficient Cancer Pattern Clas-sifier called An Enhanced Multi-Objective Pswarm (EMOPS) and it is studied thoroughly in terms of Memory Utilization, Execution Time (Processing Time), Sensitivity, Specificity, Classification Accuracy and FScore. The results were compared with the recently proposed classifiers namely Hybrid Ant Bee Algorithm (HABA), Kernelized Fuzzy Rough Set Based Semi Supervised Support Vector Machine (KFRS-S3VM) and Multi-objective Particle Swarm Optimization (MPSO). For analyzing the performances of the proposed model, this work considered a few cancer patterns namely Bladder, Breast, Colon, Endometrial, Kidney, Leukemia, Lung, Melanoma, Mom-Hodgkin, Pancreatic, Prostate and Thyroid. From our experimental results, it was noticed that the proposed model outperforms the identified three classifiers in terms of Memory Utilization, Execution Time (Processing Time), Sensitivity, Specificity, Classification Accuracy and FScore. To improve the performance of the system further in term of Processing Time, the proposed model Enhanced Multi-Objective Pswarm (EMOPS) is implemented under Parallel Framework and evaluated. That is the model is tested with Two, Four, Eight and Sixteen Parallel Processors and from the results, it is established that the Processing Time decreases considerably which will improve the performance of the Proposed Model.


2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Yunhong Wang ◽  
Weihan Qin ◽  
Yujie Yang ◽  
Hui Bai ◽  
Jirui Wang ◽  
...  

Abstract Background The present study intends to optimize the processing technology for the wine-processing of Rhizoma Coptidis, using alkaloids as indicators. Method In the present study, the Box–Behnken design method was adopted to optimize the processing technology for Rhizoma Coptidis, using the alkaloid component quantities as the index. 100 g of Rhizoma Coptidis slices and 12.5 g of Rhizoma Coptidis wine were used. After full mixing, box-Behnken design method was used to optimize the processing time, processing temperature and processing time of coptis chinensis by taking alkaloid content as index. After mixing well, these components were fried in a container at 125 °C for 6 min and exhibited good parallelism. Results The content of alkaloids in coptis chinensis was the highest after roasting at 125 °C for 6 min. The characteristic components were berberine hydrochloride, and the relative content was about 15.96%. And showed good parallelism. The effective components of Rhizoma Coptidis were primarily alkaloids. Conclusion The optimized processing technology for Rhizoma Coptidis is good.


Author(s):  
M. G. Lacerda ◽  
E. H. Shiguemori ◽  
A. J. Damião ◽  
C. S. Anjos ◽  
M. Habermann

Abstract. Given the wide variety of image classifiers available nowadays, some questions remain about the accuracy and processing time of Very High Resolution (VHR) images. Another question concerns the use of a Single or Ensemble Classifiers. Of course, the main factor to consider is the quality of the classified image, but computational cost is also important, especially in applications that require real-time processing. Given this scenario, this paper aims to relate the accuracy of seven single classifiers and the ensemble of the same classifiers with the processing time. In this paper the ensemble of classifiers had the best results in terms of accuracy, however, it comes to processing time, the decision tree had the best performance.


Author(s):  
Rusudan Kutateladze ◽  
◽  
Ana Kobiashvili ◽  
Nodar Darchiashvili ◽  
◽  
...  

Abstract. The procedures for pre-processing the data of the electronic call management system is implemented in the emergency call center. The purpose of the procedures is to process the raw data entered into the system to obtain statistical data. These procedures, in parallel with data entry, allow data to be converted and stored for later use. Following the introduction of this method, when receiving a statistical request, it is no longer necessary to reperform the procedure, because the data is already stored in the desired form. As a result, the duration of the work to be performed and the required hardware resources are reduced. We analyze the advantages and disadvantages of the data pre-processing method. Also the parameters needed to calculate the average processing time – one of the most important statistical indicators of an electronic system – are given. The paper presents a table corresponding to the example of calculating the average time of call processing. It also shows a formula for calculating the full-time processing time, which is based on the use of simple operations only and does not require much time and hardware resources.


Author(s):  
S. O. Pticin ◽  
D. O. Zaytcev ◽  
D. A. Pavlov ◽  
V. V. Shmelev

The paper considers the generalized problem of processing telemetry data. The solution of this problem in real time is due to the requirement of the operational stage of processing telemetry information in the form of a report on the flight of rocket and space technology. At the operational stage, 10% of the total number of telemetry parameters is processed. The consequence is that the results obtained are insufficient for an operational and reliable analysis of the technical condition of on-Board systems of rocket and space technology. To eliminate the insufficiency, it is necessary to increase the completeness of the results of processing telemetry information. A conceptual formulation of the problem of processing rapidly changing telemetry parameters is formulated, taking into account the requirement to include rapidly changing parameters in the processing of telemetry information at the operational stage. A model of the processing rapidly changing parameters in real time is constructed, which is based on the method of discrete linear mathematical programming. Restrictions on processing time, processing nodes, and completeness of the processing result are defined. Taking into account the constraints, the Pareto optimal set of acceptable solutions is determined. A narrowing of the set of acceptable solutions based on the use of nonlinear partial quality indicators is described. Conclusions are made about the expected results of the decision, as well as about the course of further research.


Author(s):  
James C. Long

Over the years, many techniques and products have been developed to reduce the amount of time spent in a darkroom processing electron microscopy negatives and micrographs. One of the latest tools, effective in this effort, is the Mohr/Pro-8 film and rc paper processor.At the time of writing, a unit has been recently installed in the photographic facilities of the Electron Microscopy Center at Texas A&M University. It is being evaluated for use with TEM sheet film, SEM sheet film, 35mm roll film (B&W), and rc paper.Originally designed for use in the phototypesetting industry, this processor has only recently been introduced to the field of electron microscopy.The unit is a tabletop model, approximately 1.5 × 1.5 × 2.0 ft, and uses a roller transport method of processing. It has an adjustable processing time of 2 to 6.5 minutes, dry-to-dry. The installed unit has an extended processing switch, enabling processing times of 8 to 14 minutes to be selected.


Sign in / Sign up

Export Citation Format

Share Document