scholarly journals The Development of Automatic Pineapple Washing and Drying Machine

2021 ◽  
Vol 9 (2) ◽  
pp. 65-72
Author(s):  
Hendriko Hendriko ◽  
Teddy Pradipta Kajo ◽  
Jajang Jaenudin ◽  
Nur Khamdi ◽  
Tianur Tianur
Keyword(s):  
Processing Time ◽  
Production Capacity ◽  
Test Results ◽  
Total Processing Time ◽  
Drying Process ◽  
Tube System ◽  
Optimum Weight ◽  
Process Simulations ◽  
Large Production ◽  
Derivative Products

Indonesia is a country that produce a large variety and quantity of fruit. One of the prominent fruits is pineapple. Small and medium-sized industries that process pineapples into derivative products have sprung up in various regions. However, most of the processing is still conducted manually. One thing that still needs to be improved is the washing and drying process. Therefore, this research developed an automatic washing and drying machine. The developed machine uses a one-tube system so it could reduce the transfer process from one stage to the next. Testing on the developed machines has been carried out. The test results show that this machine is capable to process as much as 6.5 kg of pineapple in one batch. Another test to determine the most effective duration of washing and drying process was also carried out. The test results show that the effective washing time is 180 seconds, and the drying process is 90 seconds. Apart from the level of cleanliness and dryness of pineapple, this test also observes the damage of pineapple as a result of the washing and drying process. Simulations to measure the total time to operate the machine have been carried out. The data shows that it takes 303 seconds, starting from inserting pineapple to the tube, washing, draining, and finally removing pineapples from the tube. By using both data of average total processing time and optimum weight, the capacity of developed machine could be calculated. The capacity of this machine is around 77 kg per hour or 8.008 kg per month. With this capacity, this machine can be used by SME with a large production capacity.

scholarly journals PERENCANAAN DAN PENGENDALIAN KAPASITAS WAKTU PRODUKSI DENGAN METODE ROUGH CUT CAPACITY PLANNING PADA SISTEM INFORMASI DI PERCETAKAN MAXIMEM

Compiler ◽  
2013 ◽  
Vol 2 (2) ◽  
Author(s):  
Rifdan Muntaqi ◽  
Anton Setiawan Honggowibowo ◽  
Dwi Nugraheny
Keyword(s):  
Decision Making ◽  
Capacity Planning ◽  
Processing Time ◽  
Production Capacity ◽  
Test Results ◽  
Planning And Control ◽  
Control Production ◽  
Planning Methods ◽  
And Control ◽  
Rough Cut

The increasing consumer demand for printing services that utilize existing capacity resulting in an imbalance in the production floor. When orders come in, the company has always approved the transaction without first reviewing the available resources. Time capacity planning and control is one very important element in decision-making. On research planning and control of production capacity using the data available capacity in each period and the capacity required to fulfill orders in the period.Capacity Planning and Control Production Time Rough Cut Capacity Planning Methods to determine the estimated processing time, capacity reports, and decisions o f the order. The test results o f the 30 respondents apilkasi display application users are 67%, 70% users ease, clarity of information and data is 80%, 57% apilkasi usefulness, 80% rated the overall application. Thus, the Capacity Planning and Control Of Time With Rough Cut Capacity Planning Method Information System At Maximem Printing use this app either.

Cell Block Optimization: A Comparative Study of Quality Variables in 4 Different Cell Block Methods

2021 ◽  
pp. 1-7
Author(s):  
Marsali Newman ◽  
Matthew Walsh ◽  
Rosemary Jeffrey ◽  
Richard Hiscock
Keyword(s):  
Comparative Study ◽  
Processing Time ◽  
Morphological Features ◽  
Cell Block ◽  
Total Processing Time ◽  
Block Methods ◽  
Molecular Studies ◽  
Agar Method ◽  
Md Anderson ◽  
Ancillary Studies

<b><i>Objective:</i></b> The cell block (CB) is an important adjunct to cytological preparations in diagnostic cytopathology. Optimizing cellular material in the CB is essential to the success of ancillary studies such as immunohistochemistry (IHC) and molecular studies (MS). Our aim was to identify which CB method was most suitable in a variety of specimen types and levels of cellularity. <b><i>Study Design:</i></b> We assessed 4 different CB methods, thrombin clot method (TCM), MD Anderson method (MDAM), gelatin foam method (GFM), and agar method (AM), with descriptive observations and ranking of the methods based on quantity of cells and morphological features. <b><i>Results:</i></b> TCM performed best in ranking for both quantity of cells and morphological features, followed by MDAM, GFM, and AM. Lack of adjuvant in the MDAM resulted in some unique morphological advantages which, however, also resulted in inconsistent performance. In low cellularity cases insufficient cells were frequently identified on slides from MDAM and AM CBs. Technique touch time was similar for all methods, with total processing time being shortest for TCM followed by MDAM, GFM, and AM. <b><i>Conclusions:</i></b> TCM was the most robust CB technique, retaining high scores for ranking of quantity and morphology in a variety of specimen cellularities and specimen types.

Requiem for the STAT Test: Automation and Point of Care Testing

2019 ◽  
Author(s):  
Gurmukh Singh ◽  
Natasha M Savage ◽  
Brandy Gunsolus ◽  
Kellie A Foss
Keyword(s):  
Point Of Care ◽  
Turnaround Time ◽  
Test Automation ◽  
Test Results ◽  
Point Of Care Testing ◽  
Tube System ◽  
Front End ◽  
Laboratory Test Results ◽  
Batch Testing ◽  
Pneumatic Tube System

Abstract Objective Quick turnaround of laboratory test results is needed for medical and administrative reasons. Historically, laboratory tests have been requested as routine or STAT. With a few exceptions, a total turnaround time of 90 minutes has been the usually acceptable turnaround time for STAT tests. Methods We implemented front-end automation and autoverification and eliminated batch testing for routine tests. We instituted on-site intraoperative testing for selected analytes and employed point of care (POC) testing judiciously. The pneumatic tube system for specimen transport was expanded. Results The in-laboratory turnaround time was reduced to 45 minutes for more than 90% of tests that could reasonably be ordered STAT. With rare exceptions, the laboratory no longer differentiates between routine and STAT testing. Having a single queue for all tests has improved the efficiency of the laboratory. Conclusion It has been recognized in manufacturing that batch processing and having multiple queues for products are inefficient. The same principles were applied to laboratory testing, which resulted in improvement in operational efficiency and elimination of STAT tests. We propose that the target for in-laboratory turnaround time for STAT tests, if not all tests, be 45 minutes or less for more than 90% of specimens.

The Detection Method of Lane Line Based on the Improved Otsu Threshold Segmentation

2015 ◽  
Vol 741 ◽  
pp. 354-358 ◽  
Author(s):  
Yang Shan Tang ◽  
Dao Hua Xia ◽  
Gui Yang Zhang ◽  
Li Na Ge ◽  
Xin Yang Yan
Keyword(s):  
Image Segmentation ◽  
Processing Time ◽  
Detection Method ◽  
Segmentation Algorithm ◽  
Test Results ◽  
Threshold Segmentation ◽  
Otsu Method ◽  
Time Requirements ◽  
Lane Line ◽  
Center Distance

For overcoming the shortage of Otsu method, proposed an improved Otsu threshold segmentation algorithm. On the basis of Otsu threshold segmentation algorithm, the gray level was divided into two classes according to the image segmentation, to determine the best threshold by comparing their center distance, so as to achieve peak line recognition under the condition of multiple gray levels. Then did experiments on image segmentation of the lane line with MATLAB by traditional Otsu threshold segmentation algorithm and the improved algorithm, the threshold of traditional Otsu threshold segmentation algorithm is 144 and the threshold of the improved Otsu threshold segmentation algorithm is 131, the processing time is within 0.453 s. Test results show that the white part markings appear more, the intersection place of white lines and the background is more clear, so this method can identify lane markings well and meet the real-time requirements.

scholarly journals Semi-Online Scheduling on Two Machines withGoSLevels and Partial Information of Processing Time

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Taibo Luo ◽  
Yinfeng Xu
Keyword(s):  
Processing Time ◽  
Parallel Machines ◽  
Partial Information ◽  
Online Scheduling ◽  
Scheduling Problems ◽  
Total Processing Time ◽  
Grade Of Service ◽  
Two Machines

This paper investigates semi-online scheduling problems on two parallel machines under a grade of service (GoS) provision subject to minimize the makespan. We consider three different semi-online versions with knowing the total processing time of the jobs with higherGoSlevel, knowing the total processing time of the jobs with lowerGoSlevel, or knowing both in advance. Respectively, for the three semi-online versions, we develop algorithms with competitive ratios of3/2,20/13, and4/3which are shown to be optimal.

scholarly journals Design and Build a Multilevel Mace Nutmeg Dryer to Improve the People's Economy

SinkrOn ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. 107-112
Author(s):  
Ihsan Ihsan ◽  
Dirja Nur Ilham ◽  
Reza Ade Putra ◽  
Rudi Arif Candra ◽  
Arie Budiansyah
Keyword(s):  
Software Design ◽  
Economic Value ◽  
Research Work ◽  
Test Results ◽  
Drying Process ◽  
Wet Season ◽  
Drying Time ◽  
Agricultural Community ◽  
Design Software

Nutmeg is a source of income for some people in South Aceh, and some types of nutmeg, like mace nutmeg, are of better quality. Mace nutmeg is also an agricultural community with great economic value and benefits for humans, as it can be processed into spices and herbs. A range of products includes nutmeg oil and medicines. The harvesting and drying of mace nutmeg, which is still considered a problem by nutmeg growers, cannot be isolated from the processing of the basic ingredients. The natural process of drying mace nutmeg involves the use of sunshine, which necessitates a considerable drying time. Therefore nutmeg farmers frequently complain of erratic weather, especially during the wet season. The constant rain can cause the mace to rot, causing the nutmeg farming community's revenue to become unstable. Methods and steps of research work starting from the study of literature, determination of design specifications, hardware design, software design, toolmaking, tool testing.Good results were reached with the dryness of the mace nutmeg, which can be adjusted, and without putting into account the weather in the drying process, which is usually done with the heat of the sun, per the results of the testing of the designed tools.The average dryness of mace nutmeg is at a temperature of 45 percent with a time of 4 hours and a capacity of 100 grams; according to the test results of the automatic mace drying machine, it produces 50 grams of dry mace.  

Restructured Pork From Hot Processed Sow Meat: Effect of Mechanical Tenderization and Liquid Smoke

1986 ◽  
Vol 49 (8) ◽  
pp. 639-642 ◽  
Author(s):  
JOSEPH C. CORDRAY ◽  
DALE L. HUFFMAN ◽  
WILLIAM R. JONES
Keyword(s):  
Connective Tissue ◽  
Factorial Design ◽  
Fat Mass ◽  
Processing Time ◽  
Total Processing Time ◽  
Treatment Groups ◽  
Liquid Smoke ◽  
Fresh Frozen ◽  
Fully Cooked ◽  
Restructured Pork

A 2 × 2 factorial design was used to study the effect of tenderization and liquid smoke on sensory and physical attribution of a fully cooked restructured pork item. The lean and fat mass was removed intact within 30 min postmortem from sow carcasses and assigned to a tenderized or non-tenderized treatment with and without liquid smoke. The four treatment groups were: non-tenderized, no liquid smoke (NTNS); non-tenderized with liquid smoke (NTS); tenderized, no liquid smoke (TNS); and tenderized with liquid smoke (TS). Mechanical tenderization was accomplished 1 h postmortem and the two original portions were subdivided for a 1% acid-neutralized liquid smoke treatment. Total processing time from exsanguination to a fully cooked product was 8 h. There were no differences (P&gt;0.05) among any of the treatments for cohesiveness, juiciness, flavor or connective tissue scores or cooking loss. The TNS treatment had higher (P&lt;0.06) tension values as determined by Instron measurements than the NTNS treatment. There were initially no practical differences between TBA values for fresh-frozen and cooked-frozen restructured pork. However, after 30 d of storage (−23°C), the cooked-frozen product had significantly higher TBA values than fresh-frozen product.

Two methods for processing yield maps from multiple sensors in large vineyards in California

2017 ◽  
Vol 8 (2) ◽  
pp. 530-533 ◽  
Author(s):  
B. Sams ◽  
C. Litchfield ◽  
L. Sanchez ◽  
N. Dokoozlian
Keyword(s):  
Processing Time ◽  
Fruit Weight ◽  
Wine Grape ◽  
Total Processing Time ◽  
Yield Mapping ◽  
Processing Methods ◽  
Multiple Sensors ◽  
Level Method ◽  
Mapping Techniques ◽  
New Processing

Yield mapping techniques have only recently started to be implemented by the Californian wine grape industry, but the advancement has necessitated new processing methods for large vineyards. The process for mapping large blocks harvested with multiple machines has only recently occurred and implies that their yield monitors have to be calibrated and corrected to the same scale. Here we discuss two methods for processing yield maps at the commercial level. Method 1 depends on many calibrations with delivered fruit weight to a winery. Method 2 normalizes raw files automatically can reduce total processing time by up to 90%.

Right Ventricle Segmentation from Heart using Active Contour Model without Edge and Split Plane Decision

2018 ◽  
Vol 7 (3.33) ◽  
pp. 1
Author(s):  
Ho Chul Kang ◽  
. .
Keyword(s):  
Right Ventricle ◽  
Processing Time ◽  
Active Contour Model ◽  
Automatic Segmentation ◽  
Total Processing Time ◽  
Anisotropic Diffusion Filter ◽  
Computational Performance ◽  
Volume Of Interest ◽  
Whole Heart ◽  
Cardiac Diagnosis

In this paper, we propose an automatic segmentation method of right ventricle from computed tomography angiography (CTA) using Chan-Vese model and split plane detection. First, we remove noise in the images by applying anisotropic diffusion filter and extract the whole heart using Otsu Thresholding. Second, the volume of interest (VOI) is detected by Chan-Vese model and morpholotical operation. Third, we divide the heart to left and right region using power watershed. Finally we detect split plane which divide right heart to right ventricle and atrium. We tested our method in ten CT images and they were obtained from a different patient. For the evaluation of the computational performance of the proposed method, we measured the total processing time. The average of total processing time, from first step to third step, was 13.92±1.28 s. We expect for our method to be used in cardiac diagnosis for cardiologist.  

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