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Hammad HHM,Meihu Ma,Guofeng Jin,Yongguo Jin,Ibrahim Khalifa,Qi Zeng,Yuanyuan Liu 한국축산식품학회 2019 한국축산식품학회지 Vol.39 No.5
This study mainly investigated the improvement effect of nitroso-hemoglobin (NO-Hb) and four lactic acid bacteria (LAB) (Streptococcus thermophiles, Lactobacillus bulgaricus, Lactobacillus casei, and Montessori enterococcus) on the color and microbiological qualities of raw beef. Three strains of Escherichia coli, Staphylococcus, Salmonella, and Pseudomonas were used as pathogenic bacteria. The results showed that both NO-Hb and LAB could enhance the color stability and scavenged the spoilage bacteria in a minced beef model. But the improvement effect of NO-Hb was more significant than LAB. This suggested that NO-Hb, as a novel ingredient, could be used as a promising substitute for nitrite in meat products to improve the color and safety of meat products. In addition, low field (LF)-NMR method has been established to be practicable to identify changes in the relaxation times of water and fat caused by different type of bacteria and the storage periods. The number of relaxation components in minced beef was affected by bacteria and increase of the storage period.
Riemannian data preprocessing in machine learning to focus on QCD color structure
Hammad Ahmed,Park Myeonghun 한국물리학회 2023 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.83 No.4
Identifying the quantum chromodynamics (QCD) color structure of processes provides additional information to enhance the reach for new physics searches at the large Hadron collider (LHC). Analyses of QCD color structure in the decay process of a boosted particle have been spotted as information becomes well localized in the limited phase space. While these kinds of a boosted jet analyses provide an efcient way to identify the color structure, the constrained phase space reduces the number of available data, resulting in a low signifcance. In this letter, we provide a simple but a novel data preprocessing method using a Riemann sphere to utilize a full phase space by decorrelating QCD structure from kinematics. We can achieve statistical stability by enlarging the size of testable data set with focusing on QCD structure efectively. We demonstrate the power of our method with the fnite statistics of the LHC Run 2. Our method is complementary to conventional boosted jet analyses in utilizing QCD information over a wide range of a phase space.
Hammad Anuoluwapo Abass,Akindele Adebayo Mebawondu,Ojen Kumar Narain,Jong Kyu Kim 경남대학교 기초과학연구소 2021 Nonlinear Functional Analysis and Applications Vol.26 No.3
In this paper, we investigate a hybrid algorithm for finding zeros of the sum of maximal monotone operators and Lipschitz continuous monotone operators which is also a common fixed point problem for finite family of relatively quasi-nonexpansive mappings and split feasibility problem in uniformly convex real Banach spaces which are also uniformly smooth. The iterative algorithm employed in this paper is design in such a way that it does not require prior knowledge of operator norm. We prove a strong convergence result for approximating the solutions of the aforementioned problems and give applications of our main result to minimization problem and convexly constrained linear inverse problem.
Interfacial bond behavior of FRP fabrics bonded to fiber-reinforced geopolymer mortar
Khalid, Hammad R.,Ha, S.K.,Park, S.M.,Kim, G.M.,Lee, H.K. Elsevier 2015 COMPOSITE STRUCTURES -BARKING THEN OXFORD- Vol.134 No.-
<P><B>Abstract</B></P> <P>This paper presents the experimental investigation of composite-mortar three-point bending beam test setup, used to characterize the bond behavior between concrete/mortar and fiber-reinforced polymers (FRPs). With this aim, a series of experimental studies have been conducted by considering different FRP fabric types (carbon/glass and carbon/aramid), epoxy adhesives (E-1 and E-2), and notch depths (50 and 33mm). In addition, a fiber-reinforced mortar, with different fiber contents (0, 0.5, 1 and 1.5wt.%) was also used to investigate the effects of short fibers on the interface behavior. From the load–displacement curves in three-point bending beam tests, peak load (<I>P<SUB>peak</SUB> </I>), ultimate mid-span deflection (<I>δ<SUB>ult</SUB> </I>), and interfacial fracture energy (<I>G<SUB>F</SUB> </I> <SUB>,</SUB> <I> <SUB>int</SUB> </I>) of different bonded interfaces were evaluated. It is concluded from this study that this test setup is useful for the comparison of different bonded interfaces as true interfacial failure was observed, but the interfacial fracture energy (<I>G<SUB>F</SUB> </I> <SUB>,</SUB> <I> <SUB>int</SUB> </I>) obtained from these tests showed sensitivity to the notch depth. The incorporation of short steel fibers into mortar was not effective to improve the interfacial bond strength as not much fiber action was observed (near the bond line) during testing.</P>
Interference-Aware Multipath (IAM) Selection in Multi-Radio Multi- Channel Wireless Mesh Networks
( Mian Hammad Ullah ),( Choonhwa Lee ) 한국정보처리학회 2008 한국정보처리학회 학술대회논문집 Vol.15 No.2
Recent research work has unearthed that multi-radio multi-channel wireless mesh networks offer considerable capacity gains over single-radio wireless mesh networks. In this paper, we present a new routing metric for multi-radio multi-channel wireless mesh networks. The goal of the metric is to choose multiple link/node disjoint paths between a source and destination node that, when used concomitantly, impart high end-to-end throughput. The proposed metric selects high fidelity paths that will produce elevated throughput with maximum fault tolerance.
Auto Configuration Module for Logstash in Elasticsearch Ecosystem
Ahmed, Hammad,Park, Yoosang,Choi, Jongsun,Choi, Jaeyoung Korea Information Processing Society 2018 한국정보처리학회 학술대회논문집 Vol.2018 No.10
Log analysis and monitoring have a significant importance in most of the systems. Log management has core importance in applications like distributed applications, cloud based applications, and applications designed for big data. These applications produce a large number of log files which contain essential information. This information can be used for log analytics to understand the relevant patterns from varying log data. However, they need some tools for the purpose of parsing, storing, and visualizing log informations. "Elasticsearch, Logstash, and Kibana"(ELK Stack) is one of the most popular analyzing tools for log management. For the ingestion of log files configuration files have a key importance, as they cover all the services needed to input, process, and output the log files. However, creating configuration files is sometimes very complicated and time consuming in many applications as it requires domain expertise and manual creation. In this paper, an auto configuration module for Logstash is proposed which aims to auto generate the configuration files for Logstash. The primary purpose of this paper is to provide a mechanism, which can be used to auto generate the configuration files for corresponding log files in less time. The proposed module aims to provide an overall efficiency in the log management system.