• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.14 no.10
• /
• pp.3989-4006
• /
• 2020

The intelligent agriculture monitoring is based on the perception and analysis of environmental data, which enables the monitoring of the production environment and the control of environmental regulation equipment. As the scale of the application continues to expand, a large amount of data will be generated from the perception layer and uploaded to the cloud service, which will bring challenges of insufficient bandwidth and processing capacity. A fog-based offline and real-time hybrid data analysis architecture was proposed in this paper, which combines offline and real-time analysis to enable real-time data processing on resource-constrained IoT devices. Furthermore, we propose a data process-ing algorithm based on the incremental principal component analysis, which can achieve data dimensionality reduction and update of principal components. We also introduce the concept of Squared Prediction Error (SPE) value and realize the abnormal detection of data through the combination of SPE value and data fusion algorithm. To ensure the accuracy and effectiveness of the algorithm, we design a regular-SPE hybrid model update strategy, which enables the principal component to be updated on demand when data anomalies are found. In addition, this strategy can significantly reduce resource consumption growth due to the data analysis architectures. Practical datasets-based simulations have confirmed that the proposed algorithm can perform data fusion and exception processing in real-time on resource-constrained devices; Our model update strategy can reduce the overall system resource consumption while ensuring the accuracy of the algorithm.

• Journal of the Korea Society of Computer and Information
• /
• v.12 no.5
• /
• pp.49-56
• /
• 2007

This paper deals with grid job allocation and grid resource scheduling to provide a stable and quicker job processing service to grid users. In this paper, we proposed a fuzzy logic-based grid job scheduling model for an effective job scheduling in computational grid environment. The fuzzy logic-based grid job scheduling model measures resource efficiency of all grid resources by a fuzzy logic system based on diverse input parameters like CPU speed and network latency and divides resources into several groups by resource efficiency. And, the model allocates jobs to resources of a group with the highest resource efficiency. For performance evaluation, we implemented the fuzzy logic-based grid job scheduling model on the DEVS modeling and simulation environment and measured reduction rates of turnaround time, job loss, and communication messages in comparison with existing job scheduling models such as the random scheduling model and the MCT(Minimum Completion time) model. Experiment results that the proposed model is useful to improve the QoS of the grid job processing service.

• Journal of KIISE
• /
• v.42 no.5
• /
• pp.573-579
• /
• 2015

Nationwide supercomputing infrastructures in Korea consist of geographically distributed supercomputing clusters. We developed High-Throughput Computing as a Service(HTCaaS) based on these distributed national supecomputing clusters to facilitate the ease at which scientists can explore large-scale and complex scientific problems. In this paper, we present our mechanism for dynamically managing computing resources and show its effectiveness through a case study of a real scientific application called drug repositioning. Specifically, we show that the resource utilization, accuracy, reliability, and usability can be improved by applying our resource management mechanism. The mechanism is based on the concepts of waiting time and success rate in order to identify valid computing resources. The results show a reduction in the total job completion time and improvement of the overall system throughput.

• Korean Journal of Agricultural Science
• /
• v.48 no.1
• /
• pp.11-19
• /
• 2021

This study was conducted on sows to evaluate the effect of flaxseed oil on the sows and their offspring's performance. Forty-eight (48) sows (Landrace × Yorkshire) and their offspring were assigned randomly to each treatment (Control and Control + flaxseed oil 0.5% [FX]). Body weight (BW), average daily feed intake (ADFI) and nutrient digestibility of the sows were estimated. Sow backfat thickness, days-to-estrus, and chest circumference were measured by different methods. In piglets, survival rate, the initial weight, weaning weight, and average daily gain (ADG) were calculated. Fecal scores of both the sows and piglets were recorded. Inclusion of FX did not influence (p > 0.05) the litter size, days-to-estrus, sow BW, ADFI and digestibility of nutrient throughout the experiment. Reduction in (p < 0.05) BW loss was observed with the FX supplementation in sows. Only the backfat thickness during the weaning period showed an increase (p < 0.05) by FX supplementation. Chest circumference was decreased (p < 0.05) in the FX group compared to the control. Sows fed the FX diet had a reduced (p < 0.05) fecal score only at weaning. Piglets' fecal score showed no significant differences for FX supplementation. However, the inclusion of FX brought about a higher (p < 0.05) birth weight, weaning weight, and average daily gain (ADG). In conclusion, our study suggests that FX has positive supplementary effects on a sow's body condition and its offspring's performance as a source of n-3 fatty acid.

• Ecology and Resilient Infrastructure
• /
• v.7 no.4
• /
• pp.248-255
• /
• 2020

In this study, we analyze the current state of domestic food waste (FW) recycling and propose a management plan for greenhouse gas (GHG) emissions. First, the composting potential of the GW demonstrates considerable promise. In particular, the GW (phytoplankton, periphyton, macrophyte, etc.) as a third-generation biomass shows strong performance as a functional additive that mitigates the disadvantages associated with composting FW and improves the quality of the final composted product. Alternatively, the final product (e.g., soil ameliorant) can be used to produce bio-filters that are effective pollutant buffers, with high applicability for green infrastructure. The proposed ecological approaches create new opportunities for FW as a resource for the reduction of GHG emissions, and are expected to contribute to the establishment of effective net-zero carbon systems in the future.

• KIPS Transactions on Computer and Communication Systems
• /
• v.11 no.7
• /
• pp.205-216
• /
• 2022

One of the many tools used for distributed deep learning training is Kubeflow, which runs on Kubernetes, a container orchestration tool. TensorFlow jobs can be managed using the existing operator provided by Kubeflow. However, when considering the distributed deep learning training jobs based on the parameter server architecture, the scheduling policy used by the existing operator does not consider the task affinity of the distributed training job and does not provide the ability to dynamically allocate or release resources. This can lead to long job completion time and low resource utilization rate. Therefore, in this paper we proposes a new operator that efficiently schedules distributed deep learning training jobs to minimize the job completion time and increase resource utilization rate. We implemented the new operator by modifying the existing operator and conducted experiments to evaluate its performance. The experiment results showed that our scheduling policy improved the average job completion time reduction rate of up to 84% and average CPU utilization increase rate of up to 92%.

• Animal Bioscience
• /
• v.35 no.8
• /
• pp.1215-1222
• /
• 2022

Objective: A feeding trial was carried out to determine the effect of dietary inclusion of silymarin seed extract on growth performance, nutrient digestibility, excreta microbiota, excreta gas emission, blood profiles, and meat quality in broilers. Methods: A total of 1,088 one-day-old Ross 308 broiler chicks (mixed-sex) with an initial body weight of 42.34±0.82 g, were randomly allocated into 1 of 4 dietary treatments with 17 replicates of 16 chicks per cage and fed a basal diet supplemented with 0%, 0.02%, 0.04%, and 0.06% of silymarin. Results: The inclusion of silymarin supplementation linearly increased the body weight of broilers during days 7 to 21 and 1 to 35 days. On day 35, broilers fed a diet containing graded levels of silymarin supplementation linearly increased the nutrient digestibility of dry matter, gross energy, and nitrogen and cecal Lactobacillus counts (p = 0.038). While silymarin supplement linearly reduced the methyl mercaptans (p = 0.039) and acetic acid (p = 0.007) emission in broilers. No significant effects were observed on the blood profile. Relative weights of organs such as breast muscle, bursa of fabricius were increased (linear effect, p<0.05), water holding capacity was enhanced by increasing the silymarin level from 0% to 0.06%. A linear reduction (p>0.05) in drip loss from meat samples during days 1, 3, 5, and 7 by the addition of graded level of silymarin to the diet. Conclusion: An increasing level of silymarin supplementation to the diet of broiler would be beneficial to enhance growth performance, nutrient digestibility, excreta microflora, blood profile, and meat quality traits.

• Journal of Animal Science and Technology
• /
• v.65 no.3
• /
• pp.562-578
• /
• 2023

The aim of the present study was to evaluate the effects of dietary supplementation of Ca-Mg complex on the longevity and reproductive performance of sows. In total, seventy-two gilts ([Yorkshire × Landrace] × Duroc, average body weight 181 kg) were randomly allocated to 1 of 3 treatments during 4 successive parity in a 4 × 3 factorial arrangement. Treatments consisted of CON (basal diet), CM1 (basal diet -MgO - 0.3% limestone + 0.4% Ca-Mg complex), and CM2 (basal diet - MgO - 0.7% limestone + 0.4% Ca-Mg complex). A higher (p < 0.05) number of totals born and live piglets, and sows increased feed intake during gestation and lactation, increased backfat thickness, and increased estrus interval were observed (p < 0.05) during their third and fourth parity than during their first and second parity. Ca-Mg complex supplementation improved (p < 0.05) the number of total piglets during the first and second parity as well as live-born piglets during the first to third parity, reduction (p < 0.05) in backfat thickness during the third and fourth parity, a higher (p < 0.05) initial and final number of suckling piglets as well as higher weaning weight compared with sows fed CON diet during the first, second, and third parity. The average daily gain (ADG) was higher (p < 0.05) in piglets born to CM1 and CM2 sows regardless of parity. The treatment diets fed to sows lowered (p < 0.05) the duration of first to last piglet birth and placenta expulsion time compared with CON sows. A significant interactive effect (p = 0.042) between parities and treatment diets was observed for the first to last piglet birth. Thus, Ca-Mg complex supplementation by partially replacing limestone in the basal diet enhanced sow performance, specifically during their third and fourth parity, thereby improving sow longevity.

• Journal of KIISE:Software and Applications
• /
• v.35 no.5
• /
• pp.313-324
• /
• 2008

A sentence reduction is the information compression process which removes extraneous words and phrases and retains basic meaning of the original sentence. Most researches in the sentence reduction have required a large number of lexical and syntactic resources and focused on extracting or removing extraneous constituents such as words, phrases and clauses of the sentence via the complicated parsing process. However, these researches have some problems. First, the lexical resource which can be obtained in loaming data is very limited. Second, it is difficult to reduce the sentence to languages that have no method for reliable syntactic parsing because of an ambiguity and exceptional expression of the sentence. In order to solve these problems, we propose the sentence reduction method which uses templates and POS(part of speech) information without a parsing process. In our proposed method, we create a new sentence using both Sentence Reduction Templates that decide the reduction sentence form and Grammatical POS-based Reduction Rules that compose the grammatical sentence structure. In addition, We use Viterbi algorithms at HMM(Hidden Markov Models) to avoid the exponential calculation problem which occurs under applying to Sentence Reduction Templates. Finally, our experiments show that the proposed method achieves acceptable results in comparison to the previous sentence reduction methods.

• Asian-Australasian Journal of Animal Sciences
• /
• v.23 no.6
• /
• pp.786-791
• /
• 2010

The effects of fermented garlic powder on production performance, egg quality, blood profiles and fatty acid composition of egg yolk in laying hens were studied in a 35-d experiment. Two-hundred and forty (ISA brown) layers aged 41 weeks were randomly allocated into the following four treatments: i) CON (basal diet); ii) G1 (CON+fermented garlic powder 1.0%); iii) G2 (CON+fermented garlic powder 2.0%) and iv) G3 (CON+fermented garlic powder 3.0%). There were no differences (p>0.05) among treatments in egg production, egg weight, eggshell breaking strength and eggshell thickness throughout the whole experimental period. However, yolk height was increased significantly (p<0.05) by the addition of fermented garlic powder during the 5th week while yolk color was greater (p<0.05) in G2 and G3 than in CON and G1 in the 5th week. Compared with CON, Haugh unit was increased (p<0.05) in response to fermented garlic powder treatments during the 5th week. No significant effects on total protein, albumin and IgG were observed in response to any of the treatments over the experimental period (p>0.05). There was a significant (p<0.05) reduction in plasma cholesterol concentration when the dietary level of fermented garlic powder was increased from 0.0 to 3.0%. The levels of saturated fatty acids (SFA) were significantly decreased (p<0.05) in response to G2 and G3 while monounsaturated fatty acids (MUFA) were higher (p<0.05) in G2 and G3 treatment groups than in CON and G1. Compared with other treatments, polyunsaturated fatty acids (PUFA) and PUFA:SFA ratio were higher (p<0.05) in G3. In conclusion, this study demonstrated that addition of fermented garlic powder reduced plasma cholesterol concentration and did not cause adverse effects on production performance. Moreover, addition of 3.0% garlic powder decreased SFA but increased PUFA and PUFA:SFA ratio in egg yolk.