Contribution to Improve Database Classification Algorithms for Multi-Database Mining

Salim Miloudi,Sid Ahmed Rahal,Salim Khiat 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.3

Database classification is an important preprocessing step for the multi-database mining (MDM). In fact,when a multi-branch company needs to explore its distributed data for decision making, it is imperative toclassify these multiple databases into similar clusters before analyzing the data. To search for the bestclassification of a set of n databases, existing algorithms generate from 1 to (n2–n)/2 candidate classifications. Although each candidate classification is included in the next one (i.e., clusters in the current classification aresubsets of clusters in the next classification), existing algorithms generate each classification independently,that is, without taking into account the use of clusters from the previous classification. Consequently, existingalgorithms are time consuming, especially when the number of candidate classifications increases. Toovercome the latter problem, we propose in this paper an efficient approach that represents the problem ofclassifying the multiple databases as a problem of identifying the connected components of an undirectedweighted graph. Theoretical analysis and experiments on public databases confirm the efficiency of ouralgorithm against existing works and that it overcomes the problem of increase in the execution time.

Athletic Training for Korean EFL Learners’ Anxiety Resistance, Pragmatic Awareness, and Motivation for English Learning

"Salim Bullen", "Young Woo Cho" 培材大學校 人文科學硏究所 2015 人文論叢 Vol.32 No.-

This study investigated whether athletic training, in the form of soccer, may improve Korean college-level EFL learners’ anxiety resistance, pragmatic awareness, and motivation. Fifty-six Korean college students divided into two groups (control and treatment) completed a questionnaire on their self-evaluations of anxiety, pragmatic ability, and motivation. The treatment group (n=28) participated in a soccer training program for two months led by the researcher, who was a native speaker of English, and a bilingual Korean/English speaking assistant. The control group (n=28) received no athletic training during the same period, but practiced English in their regular English courses. At the completion of the program, both groups completed the same questionnaire. Results from ANCOVA analyses showed significant improvements in the two areas: anxiety resistance and pragmatic awareness for the treatment group. However, no significant improvement was found in motivation. These results suggest that athletic training may be used as part of regular EFL instruction to help L2 learners lower anxiety and raise pragmatic awareness. However, motivation is a more complex issue that needs to be addressed from a broader perspective. 운동훈련은 제2언어학습과 커뮤니케이션을 보조할 수 있는 독특한 언어학습 도구이다. 운동훈련을 통하여 제2언어학습자들은 교실 밖 환경에서 실시간으로 의사소통을 하는데 필요한 의사소통 기술을 발달시킬 수 있으며 이를 통하여 영어를 통한 의사소통이 더 의미 있게 된다. 그러나 운동과 제2언어학습 및 의사소통을 통합했을 때 얻을 수 있는 유익을 반영하는 기존연구는 없었다. 따라서 본 연구는 운동의 한 형태로서 축구를 사용하여 제2언어학습자들의 불안에 대한 저항력과, 학습동기, 화용적 인식을 강화할 수 있는 가능성을 탐색하는 것을 목적으로 하였다. 대학 영어강좌를 수강하는 56명의 한국 성인 영어학습자들이 본 연구에 참여하였다. 학습자들은 처치집단과 통제집단 두 집단으로 나뉘어 연구가 시작되기 전 학습불안과, 화용능력, 학습동기에 관한 스스로의 인식에 관한 설문지를 작성하였다. 처치집단(n=28)은 원어민인 연구자와 한국어/영어 이중언어를 구사하는 연구보조원이 이끄는 축구훈련 프로그램에 두 달 동안 참여하였다. 통제집단(n=28)은 같은 기간 어떤 종류의 운동훈련도 받지 않았으며 정규영어강좌에서 학습하였다. 프로그램 종료 후 두 집단은 처음과 동일한 설문지를 작성하였다. 두 집단의 응답을 비교했을 때 처치집단이 학습불안에 대한 저항력과 화용적 인식에서 통제집단보다 더 높은 수준의 유의미한 향상이 있음이 나타났다. 그러나 학습동기에서는 유의미한 향상에 관한 차이점이 발견되지 않았다. 이 결과들은 운동을 통하여 제2언어학습자들이 영어사용자들과 의사소통할 때 느끼는 불안감을 완화시킬 수 있고 화용적 인식을 증대시킬 수 있지만 운동과 제2언어학습동기와의 관계를 더 잘 이해하기 위해서는 추가적인 연구가 필요함을 시사한다.

Contribution to Improve Database Classification Algorithms for Multi-Database Mining

Miloudi, Salim,Rahal, Sid Ahmed,Khiat, Salim Korea Information Processing Society 2018 Journal of information processing systems Vol.14 No.3

Database classification is an important preprocessing step for the multi-database mining (MDM). In fact, when a multi-branch company needs to explore its distributed data for decision making, it is imperative to classify these multiple databases into similar clusters before analyzing the data. To search for the best classification of a set of n databases, existing algorithms generate from 1 to ($n^2-n$)/2 candidate classifications. Although each candidate classification is included in the next one (i.e., clusters in the current classification are subsets of clusters in the next classification), existing algorithms generate each classification independently, that is, without taking into account the use of clusters from the previous classification. Consequently, existing algorithms are time consuming, especially when the number of candidate classifications increases. To overcome the latter problem, we propose in this paper an efficient approach that represents the problem of classifying the multiple databases as a problem of identifying the connected components of an undirected weighted graph. Theoretical analysis and experiments on public databases confirm the efficiency of our algorithm against existing works and that it overcomes the problem of increase in the execution time.

A review of vibration-based MEMS hybrid energy harvesters

Mohammed Salim,Hakim S. Sultan Aljibori,Dhia Salim,M. Haris M. Khir,A. Sh. Kherbeet 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.11

Energy harvesters based on Micro-electromechanical systems (MEMS) are well known nowadays due to their small features, abilityfor monolithic integration with the integrated circuit in a single platform, robust, and easily fabricated in bulk. The piezoelectric (PZT)and the electromagnetic (EM) generators are examples of such energy harvesters. To further increase their effectiveness in harvestingambient energy, researchers started to venture into hybrid energy harvesters. Few literature reviews may be found on MEMS harvestingdevices, but not on hybrid harvesters in specific. This paper intended to further elaborate on the hybrid energy harvesters, reported Literatureon such harvesters for recent years with different architectures, models, and results are presented. Table of power comparison betweenthe reported harvesters is presented and discussed.

Probabilistic Models for Local Patterns Analysis

Salim, Khiat,Hafida, Belbachir,Ahmed, Rahal Sid Korea Information Processing Society 2014 Journal of information processing systems Vol.10 No.1

Recently, many large organizations have multiple data sources (MDS') distributed over different branches of an interstate company. Local patterns analysis has become an effective strategy for MDS mining in national and international organizations. It consists of mining different datasets in order to obtain frequent patterns, which are forwarded to a centralized place for global pattern analysis. Various synthesizing models [2,3,4,5,6,7,8,26] have been proposed to build global patterns from the forwarded patterns. It is desired that the synthesized rules from such forwarded patterns must closely match with the mono-mining results (i.e., the results that would be obtained if all of the databases are put together and mining has been done). When the pattern is present in the site, but fails to satisfy the minimum support threshold value, it is not allowed to take part in the pattern synthesizing process. Therefore, this process can lose some interesting patterns, which can help the decider to make the right decision. In such situations we propose the application of a probabilistic model in the synthesizing process. An adequate choice for a probabilistic model can improve the quality of patterns that have been discovered. In this paper, we perform a comprehensive study on various probabilistic models that can be applied in the synthesizing process and we choose and improve one of them that works to ameliorate the synthesizing results. Finally, some experiments are presented in public database in order to improve the efficiency of our proposed synthesizing method.

Production of Valued Materials from Squid Viscera by Subcritical Water Hydrolysis

SALIM UDDIN,Hyang-Min AHN,Byung-Soo CHUN 한국생물공학회 2009 한국생물공학회 학술대회 Vol.2009 No.10

Natural frequency characteristics of composite plates with random properties

Salim, S.,Iyengar, N.G.R.,Yadav, D. Techno-Press 1998 Structural Engineering and Mechanics, An Int'l Jou Vol.6 No.6

Exercise of complete control on all aspects of any manufacturing / fabrication process is very difficult, leading to uncertainties in the material properties and geometric dimensions of structural components. This is especially true for laminated composites because of the large number of parameters associated with its fabrication. When the basic parameters like elastic modulus, density and Poisson's ratio are random, the derived response characteristics such as deflections, natural frequencies, buckling loads, stresses and strains are also random, being functions of the basic random system parameters. In this study the basic elastic properties of a composite lamina are assumed to be independent random variables. Perturbation formulation is used to model the random parameters assuming the dispersions small compared to the mean values. The system equations are analyzed to obtain the mean and the variance of the plate natural frequencies. Several application problems of free vibration analysis of composite plates, employing the proposed method are discussed. The analysis indicates that, at times it may be important to include the effect of randomness in material properties of composite laminates.

Nuclear DNA content of Haploid and Diploid Physcomitruim pyriforme Using DAPI Staining

Salim M. Abderrahman 한국유전학회 2004 Genes & Genomics Vol.26 No.3

Supplementation of graded levels of organic zinc in the diets of female broilers: effects on performance and carcase quality.

Salim, H M,Lee, H R,Jo, C,Lee, S K,Lee, B D Longman 2011 British poultry science Vol.52 No.5

<P>Zinc is an essential trace element. The objective of this research was to investigate the effects of various levels of organic zinc (OZ) supplementation on growth performance and carcase quality of female broiler chickens. A total of 3200 1-d-old female broiler chicks were randomly allotted to 16 floor pens with 200 birds per pen. A maize-wheat-soyabean meal basal diet (Control) was formulated and 20 mg/kg OZ (20 OZ), 40 mg/kg OZ (40 OZ), and 80 mg/kg OZ (80 OZ) were added to the basal diet to form 4 dietary treatments with 4 replicates per treatment. The OZ source was zinc proteinate which contained 15% zinc. Results showed no significant difference between the treatments in growth performance. A significant increase in thigh skin epidermis and dermis thickness was shown in the OZ supplementation groups; however, no effect was found on the thickness of back skin epidermis and dermis. Collagen contents in breast and thigh meats were not influenced by OZ supplementation but a significant increase in collagen content was found in the back and thigh skin. This increase in collagen content was significantly greater in the back and thigh skin of OZ 80 than with OZ 20. Shear force value and zinc concentration in skins and meat were not significantly influenced by supplementation with OZ. It is concluded that dietary OZ does not improve growth performance of broilers; however, it could increase skin thickness by increasing collagen content in skin, thereby improving carcase quality.</P>

Stand structure, tree species diversity, and leaf morphological plasticity in Xylocarpus mekongensis Pierre among salinity zones in the Sundarbans, Bangladesh

Salim Azad,Abdus Subhan Mollick,Firuz Anika Setu,Nabiul Islam Khan,Kamruzzaman 국립중앙과학관 2022 Journal of Asia-Pacific Biodiversity Vol.15 No.3

Stand structure, diversity, and plasticity of leaf morphology of Xylocarpus mekongensis were investigated among saline zones in Bangladesh Sundarbans. Stand structure and species diversity were assessed in 27 sample plots (20 m 20 m) covering 1.08 ha of forest. A total of 11 species were recorded. Out of them, 7, 6, and 9 species were found in fresh water, moderate, and strong saline zone, respectively. Species dominance in terms of importance value showed Heritiera fomes > Excoecaria agallocha > Bruguiera sexangula > Xylocarpus mekongensis in fresh water zone; H. fomes > E. agallocha > Avicennia officinalis > Ceriops decandra in moderate saline zone. E. agallocha > Sonneratia apetala > H. fomes > C. decandra in strong saline zone. Species diversity decreased from fresh water to strong saline zone. The findings showed a wide range of leaf morphological plasticity of all the parameters within and among saline zones. Leaf index, plasticity index, and specific leaf area were maximum in fresh water zone than of others. The findings of PCA revealed clear evidences of plastic behavior of leaf morphological parameters. Thus, the plasticity of leaf morphology might contribute as an influential biological signs of forthcoming climate change events.