• Title, Summary, Keyword: processing

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Synthesis of acetic acid-[(hydrazinylthioxomethyl)thio]-sodium and its application on the flotation separation of molybdenite from galena

  • Yin, Zhigang;Sun, Wei;Hu, Yuehua;Liu, Runqing;Jiang, Wei;Zhang, Chenhu;Guan, Qingjun;Zhang, Chenyang
    • Journal of Industrial and Engineering Chemistry
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    • v.52
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    • pp.82-88
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    • 2017
  • A novel organic compound acetic acid-[(hydrazinylthioxomethyl)thio]-sodium was synthesized and characterized. The flotation performance and adsorption mechanism of AHS to galena were investigated by micro, bench flotation tests, UV spectra, zeta potential, FTIR and XPS measurements. The results demonstrated that AHS exhibited superior depressing power to galena and could be used as selective depressant for flotation separation of molybdenite from galena. The results of UV spectra, FTIR, zeta potential and XPS measurements demonstrated that AHS chemisorb on galena surface by forming five-membered cheat ring with releasing of H ions. Therefore, the possible adsorption mode of AHS on galena surface was recommended.

An Efficient Signal Processing Scheme Using Signal Compression for Software GPS Receivers

  • Cho Deuk-Jae;Lim Deok-Won;Park Chan-Sik;Lee Sang-Jeong
    • International Journal of Control, Automation, and Systems
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    • v.4 no.3
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    • pp.344-350
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    • 2006
  • The software GPS receivers based on the SDR technology provide the ability to easily adapt the other signal processing algorithms without changing or modifying the hardware of the GPS receiver. However, it is difficult to implement the software GPS receivers using a commercial processor because of the heavy computational burden for processing the GPS signals in real-time. This paper proposes an efficient GPS signal processing scheme to reduce the computational burden for processing the GPS signals in the software GPS receiver, which uses a fundamental notion compressing the replica signals and the encoded look-up table method to generate correlation values between GPS signals and replica signals. In this paper, it is explained that the computational burden of the proposed scheme is much smaller than that of the typical GPS signal processing scheme. Finally, the processing time of the proposed scheme is compared with that of the typical scheme, and the improvement in the aspect of the computational burden is also shown.

PZTN Sintered at the Low Temperature by the Glass Phase Transient Processing (글래스 천이 공정에 의해 저온소결된 PZTN)

  • Kim Chan Young
    • The Transactions of the Korean Institute of Electrical Engineers C
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    • v.54 no.3
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    • pp.97-102
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    • 2005
  • This research was a fundamental study for the low temperature sintering of PZTN by glass phase transient processing. To lower the sintering temperature, the glass phase Processing was used. Also to improve the electrical properties, the transient processing was utilized. After characterization, the various analytic techniques, such as Archimedes method for the measuring densification, x-ray diffraction patterns for the quantitative analysis of crystalline phases were utilized. Also the dielectric constant, dissipation factor, and piezoelectric coefficients were measured to evaluate the PZTN sintered at the $950^{\circ}C$ and $1050^{\circ}C$. This was confirmed that the sintering temperature of PZTN was reduced by $950^{\circ}C$ and the electrical properties were improved by the transition processing. Therefore, the glass phase transient processing can be applicable to low the sintering temperature with the dielectric and piezoelectric properties.

Physicochemical Characteristics of Black Garlic after Different Thermal Processing Steps

  • Kang, Ok-Ju
    • Preventive Nutrition and Food Science
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    • v.21 no.4
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    • pp.348-354
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    • 2016
  • This study investigated the physicochemical characteristics of black garlic (BG) after different thermal processing steps. Compared with fresh garlic (FG), the moisture content and pH in BG decreased significantly, while the ash content and browning intensity increased during thermal processing. The total mineral and the free sugar contents were significantly higher than that of the BG2 and BG4 samples, respectively. The free sugar content increased by 16-fold in the BG cloves compared with that of FG, while the amino acid content increased during the first stage of thermal processing, and subsequently decreased. The thiosulfinate content in all samples decreased to during thermal processing. The pyruvic acid content initially increased and then decreased during thermal processing. These results contribute to our understanding of the role of thermal processing in the quality formation of BG.

Routing Techniques for Data Aggregation in Sensor Networks

  • Kim, Jeong-Joon
    • Journal of Information Processing Systems
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    • v.14 no.2
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    • pp.396-417
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    • 2018
  • GR-tree and query aggregation techniques have been proposed for spatial query processing in conventional spatial query processing for wireless sensor networks. Although these spatial query processing techniques consider spatial query optimization, time query optimization is not taken into consideration. The index reorganization cost and communication cost for the parent sensor nodes increase the energy consumption that is required to ensure the most efficient operation in the wireless sensor node. This paper proposes itinerary-based R-tree (IR-tree) for more efficient spatial-temporal query processing in wireless sensor networks. This paper analyzes the performance of previous studies and IR-tree, which are the conventional spatial query processing techniques, with regard to the accuracy, energy consumption, and query processing time of the query results using the wireless sensor data with Uniform, Gauss, and Skew distributions. This paper proves the superiority of the proposed IR-tree-based space-time indexing.

Comparison of Sentiment Analysis from Large Twitter Datasets by Naïve Bayes and Natural Language Processing Methods

  • Back, Bong-Hyun;Ha, Il-Kyu
    • Journal of information and communication convergence engineering
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    • v.17 no.4
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    • pp.239-245
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    • 2019
  • Recently, effort to obtain various information from the vast amount of social network services (SNS) big data generated in daily life has expanded. SNS big data comprise sentences classified as unstructured data, which complicates data processing. As the amount of processing increases, a rapid processing technique is required to extract valuable information from SNS big data. We herein propose a system that can extract human sentiment information from vast amounts of SNS unstructured big data using the naïve Bayes algorithm and natural language processing (NLP). Furthermore, we analyze the effectiveness of the proposed method through various experiments. Based on sentiment accuracy analysis, experimental results showed that the machine learning method using the naïve Bayes algorithm afforded a 63.5% accuracy, which was lower than that yielded by the NLP method. However, based on data processing speed analysis, the machine learning method by the naïve Bayes algorithm demonstrated a processing performance that was approximately 5.4 times higher than that by the NLP method.

The Status of Production and Processing of Fruits and New Processing Technology (과실류의 생산 및 가공현황과 신가공기술)

  • 윤광섭;김순동
    • Korean Journal of Food Preservation
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    • v.6 no.4
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    • pp.521-529
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    • 1999
  • The high influx of imported fruits into Korea is threatening to price and quality competition of domestic fruits. This investigation was conducted to raise price and quality competition of domestic fruits and to develop new products. The scale of production and processing, amount of processing and new processing technology were discussed. The area of cultivation land as well as the rate of processing is decreasing annually, an item of processing is limited to several kinds. Accordingly in this study, the status of production and manufacturing of some fruits and the new processing technologies such as high voltage pulsed electric fields, high hydrostatic pressure, ohmic heating, membrane separation and microwave treatment have investigated to fruit processing. Consequently, the minimal processing technology has to take advantage of various agricultural products in the food industry.

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Optimization Method on the Number of the Processing Elements in the Multi-Stage Motion Estimation Algorithm for High Efficiency Video Coding (HEVC 다단계 움직임 추정 기법에서 단위 연산기 개수의 최적화 방법)

  • Lee, Seongsoo
    • Journal of IKEEE
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    • v.21 no.1
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    • pp.100-103
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    • 2017
  • Motion estimation occupies the largest computation in the video compression. Multiple processing elements are often exploited in parallel to meet processing speed. More processing elements increase processing speed, but they also increase hardware area. therefore, it is important to optimize the number of processing element. HEVC (high efficiency video coding) usually exploits multi-stage motion estimation algorithms for low computation and high performance. Since the number and position of search points are different in each stage, the utilization of the processing elements is not always 100% and the utilization is quite different with the number of processing elements. In this paper, the optimizing method is proposed on the number of processing elements. It finds out the optimal number of the processing elements for the given multi-stage motion estimation algorithm by calculating utilization and execution cycle of the processing elements.

The Estimation of Physical/Biological Parameters of Greenhouse Soil by Image Processing (컬러 영상처리에 의한 시설재배지 토양의 생물 물리적 환경변수 추정)

  • Kim, H.T.;Kim, J.D.;Moon, J.H.;Lee, K.S.;Kang, K.H.;Kim, W.;Lee, D.W.
    • Journal of Biosystems Engineering
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    • v.28 no.4
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    • pp.343-350
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    • 2003
  • This study was conducted to find out the coefficient relationships between intensity values of image processing and biological/physical parameters of soil in greenhouses. Soil images were obtained by an image processing system consisting of a personal computer and a CCD earners. A software written in Visual C$\^$++/ systematically integrated the functions of image capture, image processing, and image analysis. Image processing data of the soil samples were analyzed by the method of regression analysis. The results are as follows. For detecting soil density of unbroken soil samples, the highest correlation coefficients of 0.82 and 0.84, respectively were obtained fur R-value and S-value among image processing data while it was 0.97 for G-value. Considering the relationship between biological characteristics and image processing data of soil in greenhouse, the correlation was found generally low. For pH of unbroken soil sample, the correlation coefficients were found 0.87, 0.85, and 0.94, respectively with G, I, and H values of image processing data. In the case of bacteria, any correlation was not found with the image processing data For Actinomyctes, they were 0.86 and 0.85, respectively with G-value and B-value of image processing data showing high correlation coefficient compared to the other variables. The correlation coefficient between Fungi and H-value was shown 0.88, the highest among the variables higher than 0.8 while the other variables showed low correlation. For broken soil samples from greenhouse, the relation between biological parameter and image processing data were rarely shown in this study. The results of this study indicated that most of correlation coefficient between the variables were usually lower than 0.01. Accordingly, it was assumed that the soil should be used without broken to fairly estimate biological characteristics using CCD camera.