Studies on pre-treatment by compression for wood drying I: effects of compression ratio, compression direction and compression speed on the reduction of moisture content in wood

The hardware-based dictionary compression is widely adopted for high speed requirement of real-time data processing. Hash function helps to manage large dictionary to improve compression ratio but is prone to collisions, so some phrases in match search result are not true matches. This paper presents a novel match search approach called dual chaining hash refining, which can improve the efficiency of match search. From the experimental results, our method showed obvious advantage in compression speed compared with other approach that utilizes single hash function described in the previous publications.

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Burned wood in the pulp and paper industry: A literature review

The Forestry Chronicle ◽

10.5558/tfc80473-4 ◽

2004 ◽

Vol 80 (4) ◽

pp. 473-477 ◽

Cited By ~ 6

Author(s):

Paul Watson ◽

Simon Potter

Keyword(s):

Moisture Content ◽

Paper Industry ◽

Pulp And Paper Industry ◽

Pulp And Paper ◽

Wood Chemistry ◽

Mechanical Pulp ◽

Kraft Cooking ◽

Pre Treatment ◽

One Year ◽

Forest Architecture

Fires play an integral part in Canadian forest architecture. Low-value wood, from burned stems, is an important source of fibre for the pulp and paper industry. Although wood chemistry changes induced by fire are substantial, burned stems exhibit a demarcation layer between the char and undamaged wood which is only a few cells thick. The loss of stem moisture content requires that burned wood is processed within one year. Aggressive debarking will minimize charcoal contamination and careful metering of chips from burned wood into any pulping process is essential. Chips with low moisture content must be pre-steamed prior to kraft cooking, and chemical pre-treatment may improve mechanical pulp quality. Key words: burn intensity, wood chemistry, charring, stem moisture content, charcoal contamination, chip metering

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Evaluation of lossless and lossy algorithms for the compression of scientific datasets in NetCDF-4 or HDF5 formatted files

10.5194/gmd-2018-250 ◽

2018 ◽

Author(s):

Xavier Delaunay ◽

Aurélie Courtois ◽

Flavien Gouillon

Keyword(s):

Data Storage ◽

Compression Ratio ◽

Reduction Method ◽

High Compression Ratio ◽

Compression Speed ◽

File Formats ◽

Scientific Datasets ◽

Bounded Data ◽

Data Reduction Method ◽

Rounding Algorithm

Abstract. The increasing volume of scientific datasets imposes the use of compression to reduce the data storage or transmission costs, specifically for the oceanography or meteorological datasets generated by Earth observation mission ground segments. These data are mostly produced in NetCDF formatted files. Indeed, the NetCDF-4/HDF5 file formats are widely spread in the global scientific community because of the nice features they offer. Particularly, the HDF5 offers the dynamically loaded filter plugin functionality allowing users to write filters, such as compression/decompression filters, to process the data before reading or writing it on the disk. In this work, we evaluate the performance of lossy and lossless compression/decompression methods through NetCDF-4 and HDF5 tools on analytical and real scientific floating-point datasets. We also introduce the Digit Rounding algorithm, a new relative error bounded data reduction method inspired by the Bit Grooming algorithm. The Digit Rounding algorithm allows high compression ratio while preserving a given number of significant digits in the dataset. It achieves higher compression ratio than the Bit Grooming algorithm while keeping similar compression speed.

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Mathematical Modeling of the Drying Kinetics of Thinly-Sliced Saba (Musa Balbasiana) Using Hot-Air Dryer

MATEC Web of Conferences ◽

10.1051/matecconf/201815602004 ◽

2018 ◽

Vol 156 ◽

pp. 02004

Author(s):

Lola Domnina B. Pestaño ◽

John Paul T. Bautista ◽

Reizl JR. H. Leguiab ◽

Sean Danielle D. Puri

Keyword(s):

Moisture Content ◽

Shelf Life ◽

The Philippines ◽

Drying Kinetics ◽

Hot Air ◽

The Laplace Transform ◽

Pre Treatment ◽

C 50 ◽

Air Dryer ◽

Best Fit

Banana is one of the top produced crops in the Philippines, and among its cultivars is the Musa balbasiana, commonly known as saba. Due to its high moisture content, saba is perishable and one of the methods to increase its shelf-life is drying. The shelf life of saba can be extended up to six months when dried to 12% moisture content. The research focuses on the effect of banana maturity and choses a mathematical model which will best fit its drying kinetics. The banana samples, the unripe and ripe saba, were bone-dried without pre-treatment using a hot-air tray drier. To produce repeatable data, three trials were done for temperatures 40°C, 50°C and 60°C. Among the three mathematical models used in the study, the treated data for both unripe and ripe saba best fit the Laplace Transform Model. Using Lagrange interpolation, the time per trial was computed; unripe saba dried at 50°C achieved the ideal moisture content in an average time of 87.5574 minutes for the three trials while that of ripe saba dried at 40°C achieved the same moisture content in an average time of 88.8619 minutes for the three trials. With the increase in temperature, the discoloration decreased indicating an enzymatic character ofbrowning.

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Parallel Algorithm for Wireless Data Compression and Encryption

Journal of Sensors ◽

10.1155/2017/4209397 ◽

2017 ◽

Vol 2017 ◽

pp. 1-11 ◽

Cited By ~ 5

Author(s):

Qin Jiancheng ◽

Lu Yiqin ◽

Zhong Yu

Keyword(s):

Big Data ◽

Internet Of Things ◽

Data Compression ◽

Parallel Algorithm ◽

Wireless Network ◽

Compression Ratio ◽

Wireless Data ◽

Limited Bandwidth ◽

Compression Speed ◽

Parallel Pipeline

As the wireless network has limited bandwidth and insecure shared media, the data compression and encryption are very useful for the broadcasting transportation of big data in IoT (Internet of Things). However, the traditional techniques of compression and encryption are neither competent nor efficient. In order to solve this problem, this paper presents a combined parallel algorithm named “CZ algorithm” which can compress and encrypt the big data efficiently. CZ algorithm uses a parallel pipeline, mixes the coding of compression and encryption, and supports the data window up to 1 TB (or larger). Moreover, CZ algorithm can encrypt the big data as a chaotic cryptosystem which will not decrease the compression speed. Meanwhile, a shareware named “ComZip” is developed based on CZ algorithm. The experiment results show that ComZip in 64 b system can get better compression ratio than WinRAR and 7-zip, and it can be faster than 7-zip in the big data compression. In addition, ComZip encrypts the big data without extra consumption of computing resources.

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A Thermomechanical Preprocessing for Pectin Isolation from Orange Peel with Optimisation by Response Surface Methodology

International Journal of Food Engineering ◽

10.2202/1556-3758.1183 ◽

2008 ◽

Vol 4 (1) ◽

Cited By ~ 12

Author(s):

Sid-Ahmed Rezzoug ◽

Zoulikha Maache-Rezzoug ◽

Frédéric Sannier ◽

Karim Allaf

Keyword(s):

Response Surface Methodology ◽

Moisture Content ◽

Response Surface ◽

Processing Time ◽

Initial Moisture Content ◽

Control Sample ◽

Orange Peel ◽

Response Surfaces ◽

Acid Extraction ◽

Pre Treatment

The instantaneous controlled pressure drop process (or D.I.C process: ``Détente Instantanée Contrôlée") was used as a pre-treatment prior to pectin acid extraction from orange peel. This process involves subjecting the orange peel for a short time to steam pressure varying from 100 to 700 kPa, followed by an instantaneous decompression to vacuum at 5 kPa. Effects of processing pressure, moisture content of peels before the thermomechanical treatment and processing time were examined with response surface methodology. The optimal conditions were determined and the response surfaces were plotted from the mathematical models. The Fisher test and p-value indicated that both processing pressure and moisture content of peels before the pre-treatment had a highly significant effect on the pectin yield. The quadratic effect of processing pressure as well as the interaction effects of the initial moisture content and processing time also had a significant effect on the response. Moreover, the kinetics of pectin extraction showed that after few minutes of hydrolysis, the yields of pectin were systematically higher than that of the control sample and this is important from industrial point of view because the hydrolysis of pectin is generally performed in 10-15 minutes.

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The influence of seed pre-treatments and soil conditions on the emergence of sesame seedlings

Australian Journal of Experimental Agriculture ◽

10.1071/ea99154 ◽

2000 ◽

Vol 40 (6) ◽

pp. 843 ◽

Cited By ~ 3

Author(s):

J. S. Day

Keyword(s):

Soil Moisture ◽

Moisture Content ◽

Gibberellic Acid ◽

Soil Moisture Content ◽

Seedling Emergence ◽

Sesamum Indicum ◽

Soil Conditions ◽

Sesame Seeds ◽

Pre Treatment ◽

Gibberellic Acid Treatment

Poor and uneven emergence of seedlings decreases the efficiency of sesame (Sesamum indicum) seed production. In a glasshouse study, seedling emergence was reduced by low soil moisture content (less than 20%, w/v) and by waterlogging (common in soils with small soil particles). Watering events that failed to raise soil moisture content above 20% caused most seeds to germinate (more than than 80%), but only some of these seeds emerged from the soil (less than 50%). Gibberellic acid pre-treatment of seeds (50 or 1000 mg/L) failed to improve emergence of seeds from soils with an initial soil moisture content less than 20%. This result supports previous reports suggesting that gibberellic acid treatment does not influence seedling emergence, and may only be useful to overcome seed dormancy in those sesame varieties where dormancy is a problem. For maximum emergence it is recommended that sesame seeds be sown in non-waterlogged soils and that soil moisture content be maintained above 20% for a number of days after sowing.

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