• 제목/요약/키워드: Genetic Approach

Search Result 1,323, Processing Time 0.027 seconds

The Security Constrained Economic Dispatch with Line Flow Constraints using the Multi PSO Algorithm Based on the PC Cluster System (PC 클러스터 기반의 Multi-HPSO를 이용한 안전도 제약의 경제급전)

  • Jang, Se-Hwan;Kim, Jin-Ho;Park, Jong-Bae;Park, June-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
    • /
    • v.58 no.9
    • /
    • pp.1658-1666
    • /
    • 2009
  • This paper proposes an approach of Mult_HPSO based on the PC cluster system to reduce or remove the stagnation on an early convergence effect of PSO, reduce an execution time and improve a search ability on an optimal solution. Hybrid PSO(HPSO) is combines the PSO(Particle Swarm Optimization) with the mutation of conventional GA(Genetic Algorithm). The conventional PSO has operated a search process in a single swarm. However, Multi_PSO operates a search process through multiple swarms, which increments diversity of expected solutions and reduces the execution time. Multiple Swarms are composed of unsynchronized PC clusters. We apply to SCED(security constrained economic dispatch) problem, a nonlinear optimization problem, which considers line flow constraints and N-1 line contingency constraints. To consider N-1 line contingency in power system, we have chosen critical line contingency through a process of Screening and Selection based on PI(performace Index). We have applied to IEEE 118 bus system for verifying a usefulness of the proposed approaches.

A New Design Approach for Optimization of GA-based SOPNN (GA 기반 자기구성 다항식 뉴럴 네트워크의 최적화를 위한 새로운 설계 방법)

  • Park, Ho-Sung;Park, Byoung-Jun;Park, Keon-Jun;Oh, Sung-Kwun
    • Proceedings of the KIEE Conference
    • /
    • 2003.07d
    • /
    • pp.2627-2629
    • /
    • 2003
  • In this paper, we propose a new architecture of Genetic Algorithms(GAs)-based Self-Organizing Polynomial Neural Networks(SOPNN). The conventional SOPNN is based on the extended Group Method of Data Handling(GMDH) method and utilized the polynomial order (viz. linear, quadratic, and modified quadratic) as well as the number of node inputs fixed (selected in advance by designer) at Polynomial Neurons (or nodes) located in each layer through a growth process of the network. Moreover it does not guarantee that the SOPNN generated through learning has the optimal network architecture. But the proposed GA-based SOPNN enable the architecture to be a structurally more optimized networks, and to be much more flexible and preferable neural network than the conventional SOPNN. An aggregate performance index with a weighting factor is proposed in order to achieve a sound balance between approximation and generalization (predictive) abilities of the model. To evaluate the performance of the GA-based SOPNN, the model is experimented with using nonlinear system data.

  • PDF

RNA Mapping of Mutant Myotonic Dystrophy Protein Kinase 3'-Untranslated Region Transcripts

  • Song, Min-Sun;Lee, Seong-Wook
    • Genomics & Informatics
    • /
    • v.7 no.4
    • /
    • pp.181-186
    • /
    • 2009
  • Myotonic dystrophy type 1 (DM1), which is a dominantly inherited neurodegenerative disorder, results from a CTG trinucleotide repeat expansion in the 3'-untranslated region (3'-UTR) of the myotonic dystrophy protein kinase (DMPK) gene. Retention of mutant DMPK (mDMPK) transcripts in the nuclei of affected cells has been known to be the main cause of pathogenesis of the disease. Thus, reducing the RNA toxicity through elimination of the mutant RNA has been suggested as one therapeutic strategy against DM1. In this study, we suggested RNA replacement with a trans -splicing ribozyme as an alternate genetic therapeutic approach for amelioration of DM1. To this end, we identified the regions of mDMPK 3'-UTR RNA that were accessible to ribozymes by using an RNA mapping strategy based on a trans-splicing ribozyme library. We found that particularly accessible sites were present not only upstream but also downstream of the expanded repeat sequence. Repair or replacement of the mDMPK transcript with the specific ribozyme will be useful for DM1 treatment through reduction of toxic mutant transcripts and simultaneously restore wild-type DMPK or release nucleus-entrapped mDMPK transcripts to the cytoplasm.

Study of Modern Human Evolution via Comparative Analysis with the Neanderthal Genome

  • Ahmed, Musaddeque;Liang, Ping
    • Genomics & Informatics
    • /
    • v.11 no.4
    • /
    • pp.230-238
    • /
    • 2013
  • Many other human species appeared in evolution in the last 6 million years that have not been able to survive to modern times and are broadly known as archaic humans, as opposed to the extant modern humans. It has always been considered fascinating to compare the modern human genome with that of archaic humans to identify modern human-specific sequence variants and figure out those that made modern humans different from their predecessors or cousin species. Neanderthals are the latest humans to become extinct, and many factors made them the best representatives of archaic humans. Even though a number of comparisons have been made sporadically between Neanderthals and modern humans, mostly following a candidate gene approach, the major breakthrough took place with the sequencing of the Neanderthal genome. The initial genome-wide comparison, based on the first draft of the Neanderthal genome, has generated some interesting inferences regarding variations in functional elements that are not shared by the two species and the debated admixture question. However, there are certain other genetic elements that were not included or included at a smaller scale in those studies, and they should be compared comprehensively to better understand the molecular make-up of modern humans and their phenotypic characteristics. Besides briefly discussing the important outcomes of the comparative analyses made so far between modern humans and Neanderthals, we propose that future comparative studies may include retrotransposons, pseudogenes, and conserved non-coding regions, all of which might have played significant roles during the evolution of modern humans.

The Cultural and Environmental Unsoundness of the Chinese Public Squatting-Type Toilet: A Case Study toward a Sustainable Excreta Treatment System

  • Chang, Jin-Soo
    • Environmental Engineering Research
    • /
    • v.19 no.2
    • /
    • pp.131-138
    • /
    • 2014
  • The inconvenient truth of sustainable public squat toilet culture varies among nationalities. This culture may be comfortable to the people of China, yet uncomfortable to the non-Chinese, according to the adequate environmental management in Yanbian Korean Autonomous Prefecture (YKAP), northern China. We conducted a series of field surveys and individual interviews (Chinese n = 1,000 and non-Chinese [foreign visitors] n = 100) on several aspects of the public squat toilet: structural properties, waste disposal methods, important factors, and overall satisfaction level. The significant factors in response to the public squat toilets were cleanliness, odor, toilet paper, temperature, soap, other facilities, and presence of cubicles. These factors should be policy priorities of the local government. In addition, 66.2% of Chinese and 91% of foreign visitors desired type E toilets (two full-high partition walls and a door). The results illustrate the nature of a sustainable and beautiful approach to the culturally and environmentally sound management of various types of public squat toilet in YKAP. The government needs to focus on the future-oriented and excreta treatment management of the sustainable toilet culture for residents and visitors of YKAP.

Perspective on Bioterrorism in the United States (미국의 생물테러대책에 관한 고찰)

  • Kang, Young-gil;Kwon, Jeong- hoon
    • Journal of the Society of Disaster Information
    • /
    • v.5 no.1
    • /
    • pp.10-27
    • /
    • 2009
  • The fear briefly became reality in the U.S. after 9/11, as man-made anthrax spores were found in letters and in east coast post offices on a number of occasions. Anthrax attacks must be related to the terrorist attacks of September 11. These two accidents changed the situation completely. Characteristics are summarized as belows. First, it is necessary for all countries to create each own appropriate countermeasures against bioterrorism. In addition, it is urgent to consider countermeasures focusing on bioterror characteristics that terrorists may use biological agents because they can be extremely difficult to detect and do not cause illness for several hours to several days. Otherwise, those attacks will also show the panic and very real danger posed by the release of such toxins on an unsuspecting public. Second, it is crucial to manage the result thoroughly. A biological weapon is useful to a terrorist group mainly as a method of creating mass panic and disruption to a society. Because it is not easy to predict and collect information about how terrorists utilize pathogenic microbe as well as terror measures in their activities, more realistic approach should be taken to reduce damage. Third, to expand investment in research and development is necessary. Considering advances in microbiology and genetic engineering lately, it is likely that new pathogenic microbe would be created by the enemy. For that matter, it is imperative that medical countermeasures should be devised.

  • PDF

An Evolutionary Model for Automatically Generating Artificial Creatures of Various Shapes and Colors

  • Lee, Peisuei;Masayuki-Nakajima
    • Proceedings of the Korean Society of Broadcast Engineers Conference
    • /
    • 1999.06a
    • /
    • pp.119-124
    • /
    • 1999
  • This paper proposes an evolutionary model for automatically generating artificial creatures of various shapes and colors according to insect ecology. This model offers a novel way to naturally evolve the shapes and colors of artificial creatures. The evolutionary model used in our research is based on Genetic Algorithms (GA). In this paper, artificial Computer Graphics(CG) creatures develop into various shapes and colors according to the evolutionary model. Later, they can be used as CG animated characters. This model also solves the problem of reducing the time and labor cost for mass production of various characters. It could be used in such areas as the cavalry battle scene in Disney's animation, “Mulan”. Our approach has two steps. At first, artificial creatures move according to information gathered form the five senses. This information is also used for generating the shapes of the five sense organs[1]. Then, based on the GA, evolutionary mode[2], we prepare prototype creatures, which evolve into various shapes and different colors in alternating generations. Finally, our evolutionary model successfully generates various character shapes and colors automatically.

Prototype-based Classifier with Feature Selection and Its Design with Particle Swarm Optimization: Analysis and Comparative Studies

  • Park, Byoung-Jun;Oh, Sung-Kwun
    • Journal of Electrical Engineering and Technology
    • /
    • v.7 no.2
    • /
    • pp.245-254
    • /
    • 2012
  • In this study, we introduce a prototype-based classifier with feature selection that dwells upon the usage of a biologically inspired optimization technique of Particle Swarm Optimization (PSO). The design comprises two main phases. In the first phase, PSO selects P % of patterns to be treated as prototypes of c classes. During the second phase, the PSO is instrumental in the formation of a core set of features that constitute a collection of the most meaningful and highly discriminative coordinates of the original feature space. The proposed scheme of feature selection is developed in the wrapper mode with the performance evaluated with the aid of the nearest prototype classifier. The study offers a complete algorithmic framework and demonstrates the effectiveness (quality of solution) and efficiency (computing cost) of the approach when applied to a collection of selected data sets. We also include a comparative study which involves the usage of genetic algorithms (GAs). Numerical experiments show that a suitable selection of prototypes and a substantial reduction of the feature space could be accomplished and the classifier formed in this manner becomes characterized by low classification error. In addition, the advantage of the PSO is quantified in detail by running a number of experiments using Machine Learning datasets.

Establishment of a Micro-Particle Bombardment Transformation System for Dunaliella salina

  • Tan Congping;Qin Song;Zhang Qun;Jiang Peng;Zhao Fangqing
    • Journal of Microbiology
    • /
    • v.43 no.4
    • /
    • pp.361-365
    • /
    • 2005
  • In this study, we chronicle the establishment of a novel transformation system for the unicellular marine green alga, Dunaliella salina. We introduced the CaMV35S promoter-GUS construct into D. salina with a PDS1000/He micro-particle bombardment system. Forty eight h after transformation, via histochemical staining, we observed the transient expression of GUS in D. salina cells which had been bombarded under rupture-disc pressures of 450 psi and 900 psi. We observed no GUS activity in either the negative or the blank controls. Our findings indicated that the micro-particle bombardment method constituted a feasible approach to the genetic transformation of D. salina. We also conducted tests of the cells' sensitivity to seven antibiotics and one herbicide, and our results suggested that 20 ${\mu}g$/ ml of Basta could inhibit cell growth completely. The bar gene, which encodes for phosphinothricin acetyltransferase and confers herbicide tolerance, was introduced into the cells via the above established method. The results of PCR and PCR-Southern blot analyses indicated that the gene was successfully integrated into the genome of the transformants.

Violetonostoc minutum gen. et sp. nov. (Nostocales, Cyanobacteria) from a rocky substrate in China

  • Cai, Fangfang;Peng, Xin;Li, Renhui
    • ALGAE
    • /
    • v.35 no.1
    • /
    • pp.1-15
    • /
    • 2020
  • Two strains isolated from a subtropical region in China, were morphologically identified as a Nostoc-like species, but its taxonomic identity was unknown. In this study, these two strains were taxonomically and phylogenetically characterized based on polyphasic approach combining morphological and genetic characteristics. Though both were virtually indistinguishable from Nostoc in field and cultured material, these two strains were phylogenetically distinct from Nostoc based on 16S rRNA phylogeny. The 16S-23S internal transcribed spacer rRNA secondary structure of these strains showed the unique pattern of D1-D1', Box-B, and V3 helix, which distinguished them from other Nostoc-like heterocytous genera. A unique cluster separated from Nostoc sensu stricto supports the establishment of Violetonostoc gen. nov. with the type species as Violetonostoc minutum sp. nov.