A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
This paper proposes a new approach for biologically inspired computing on the basis of Gene Regulatory Networks. These networks are models of genes and dynamic interactions that take place between them. The differential equation representations of such networks resemble neural networks as well as idiotypic networks in immune system. Although several potential applications have been outlined, an example, the problem of placing sensors optimally in a distributed environment is considered indoi:10.1145/1389095.1389381 dblp:conf/gecco/DasKCWS08 fatcat:cayrflidkfc2jlngypnril37uu
more »... . A comparison with NSGA-II suggest that the new method is able to accomplish near-optimal coverage of sensors in a network.
Credit institutions are seldom faced with problems dealing with single objectives. Often, decisions involving optimizing two or more competing goals simultaneously need to be made, and conventional optimization routines and models are incapable of handling the problems. This study applies Fuzzy dominance based Simplex Genetic Algorithm (a multi-objective evolutionary optimization algorithm) in generating decision rules for predicting loan default in a typical credit institution.doi:10.1016/j.eswa.2011.01.096 fatcat:jj3ulbjwszaqblsgap2oje6z24
This paper describes a PSO-Nelder Mead Simplex hybrid multiobjective optimization algorithm based on a numerical metric called ε -fuzzy dominance. Within each iteration of this approach, in addition to the position and velocity update of each particle using PSO, the k-means algorithm is applied to divide the population into smaller sized clusters. The Nelder-Mead simplex algorithm is used separately within each cluster for added local search. The proposed algorithm is shown to perform betterdoi:10.1145/1276958.1277125 dblp:conf/gecco/KoduruDW07 fatcat:qh65c52lv5fkzicqdssk4fj44i
more »... n MOPSO on several test problems as well as for the optimization of a genetic model for flowering time control in Arabidopsis. Adding the local search achieves faster convergence, an important feature in computationally intensive optimization of gene networks.
Lecture Notes in Computer Science
Hybrid algorithms that combine genetic algorithms with the Nelder-Mead simplex algorithm have been effective in solving certain optimization problems. In this article, we apply a similar technique to estimate the parameters of a gene regulatory network for flowering time control in rice. The algorithm minimizes the difference between the model behavior and real world data. Because of the nature of the data, a multiobjective approach is necessary. The concept of fuzzy dominance is introduced,doi:10.1007/978-3-540-24854-5_37 fatcat:4acdrerdyjfwvnjrjtioo6u7ou
more »... a multi-objective simplex algorithm based on this concept is proposed as a part of the hybrid approach. Results suggest that the proposed method performs well in estimating the model parameters.
Point estimates of the parameters in real world models convey valuable information about the actual system. However, parameter comparisons and/or statistical inference requires determination of parameter space confidence regions in addition to point estimates. In most practical applications, the relation of the parameters to model fitness is highly nonlinear and noisy data leads to further deviations. Thus the confidence regions obtained by using locally linearized models are often misleading.doi:10.1145/1276958.1276969 dblp:conf/gecco/KoduruWD07 fatcat:ydfy75xktvhm7cq75fotjsejca
more »... niform covering by probabilistic rejection (UCPR) is a robust technique that has been developed to solve this problem, and has been proven to be more efficient than other approximate random search techniques. In this paper, we propose a contour particle swarm optimization (C-PSO) technique and compare its performance against UCPR in predicting the confidence regions. Results indicate that for problems with low number of parameters, both the algorithms are quite comparable. However, real world models such as genetic networks have a large number of parameters and the UCPR fails in finding good convergence due to its limited search capabilities. In such problems, the C-PSO technique was able to find the confidence regions with better resolution and efficiency.
In this paper, we describe a genetic programming and particle swarm hybrid algorithm for gene network discovery.doi:10.1145/1276958.1277300 dblp:conf/gecco/CaiWKD07 fatcat:lf5qpukzsrc2fpbrkn54t5w3cy
Early identification of kidney diseases in children and adolescents is an important initial step in prevention of chronic kidney diseases (CKD). The current study was undertaken to screen asymptomatic school children in Nellore, Andhra Pradesh, and to detect the prevalence of renal disorders using urine dipstick method and associated risk factors. Method: Out of total 1,626 children, 883 (54.31%) were male children and remaining 743 (45.69%) were female students. During the first screening bydoi:10.14740/wjnu325w fatcat:skgatz3srnhnbcvfi2gxap52cu
more »... ine dipstick method, 45 (2.77%) children were found to having urinary abnormalities which were further investigated by confirmatory complete urine analysis. Results: Finally 37 were diagnosed having urinary abnormalities. The prevalence rate of isolated hematuria (IH) was 0.62%; isolated proteinuria (IP) was 0.18%; combined hematuria and proteinuria (CHP) was 0.18% and urinary tract infection (UTI) was 1.23%. Renal stone was the cause in 20% cases while post-infectious golmerulonephritis (PIGN) and IgA nephropathy (IgAN) were the causes of hematuria in 10% cases each. Out of three cases of CHP, two (66.67%) cases were due to PIGN and one was due to membranoproliferative glomerulonephritis (MPGN). Totally 26 cases were confirmed having UTI. Out of these 26 cases, gram-negative bacilli were detected in 11 (42.31%) cases and gram-positive were detected in five (19.23%) cases. The prevalence rate of renal abnormalities among 6 -7 years, 8 -9 years, 10 -11 years and 12 -13 years students was 2.07%, 2.43%, 2.19 and 2.41% respectively. Out of 889 urban students, 19 were having confirmed renal abnormalities which indicated that the prevalence of renal problem in asymptomatic urban student was 2.14%. Out of 737 rural students, 18 were having confirmed renal abnormalities which indicated that the prevalence of renal problem in asymptomatic rural student was 2.44%. Prevalence of hematuria in male was 0.23 and in female 1.08 and the difference was statistically significant (P < 0.05) which indicated hematuria more in female asymptomatic students compared to male asymptomatic students. Age wise prevalence of IP ranged from 0% in 6 -7 years age group and 12 -13 years age group to 0.44% in 10 -11 years age group. Prevalence of UTIs in male was 0.57 and in female 2.02, and the difference was statistically significant (P < 0.05) indicating that the prevalence of UTIs was significantly more in female asymptomatic students compared to male asymptomatic students. Conclusions: In conclusion, asymptomatic urinary abnormalities might be detected by urine screening program at school age. Further work-up should be offered to define the exact etiology of any abnormal finding.
Credit institutions are seldom faced with problems dealing with single objectives. Often, decisions involving optimizing two or more competing goals simultaneously need to be made, and conventional optimization routines and models are incapable of handling the problems. This study applies Fuzzy dominance based Simplex Genetic Algorithm (a multi-objective evolutionary optimization algorithm) in generating decision rules for predicting loan default in a typical credit institution.doi:10.1145/1276958.1277370 dblp:conf/gecco/OdehKDFW07 fatcat:ah2c4l4erbcazn7n7vdiuouziu
<p><strong>Background: </strong>Lateral epicondylitis is seen more commonly in non-athletes than athletes. Non-operative methods are the mainstay of treatment being effective in more than 95% of cases. Platelet rich plasma (PRP) has shown promising results in many studies as compared to steroid injection & other modes of conservative management. Hence, this study was done to evaluate PRP efficacy in our clinical setup and in the people of age group most commonly beingdoi:10.18203/issn.2455-4510.intjresorthop20170532 fatcat:srn4qgbaz5f27c27q45rrewt7u
more »... ng></p><p><strong>Methods: </strong>This randomized study was conducted at Narayana Medical College Hospital, Nellore, for a period of two years from December 2014 to June 2016 on 150 consenting patients diagnosed as suffering from lateral epicondylitis. Using lottery method for randomization the patients were divided into three groups, based on which the treatment was received. Group –N with 50 patients received 3 ml of normal saline as placebo. Group –P with 50 patients received 3 ml of extracted PRP injection. Group –S with 50 patients received depot preparation of 40 mg of methyl prednisiolone injected into the affected area. The data collected and recorded in the appropriate proforma. Post therapy assessment was done using with Oxford elbow score.</p><p><strong>Results: </strong>The overall mean ages of the patients in the three groups (Group P, Group S and Group N) are 38.62±7.53, 37.82±7.79 and 36.3±6.93 respectively. Female preponderance was observed in all the groups. Most common presenting complaint was elbow pain seen in 100% of cases. Most common side involved was the dominant side, right side involvement was seen in 136 cases and left side in 14 cases. The Oxford elbow score pre-treatment in all the groups was not statistically significant and the Oxford elbow score at the end of 12 weeks and 24 weeks treatment showed that PRP and steroid was better than normal saline in control of pain.<strong></strong></p><p><strong>Conclusion: </strong>Lateral epicondylitis or tennis elbow is a painful debilitating condition of elbow, which creates disturbance in functional activities. A single injection of PRP at the site of the elbow pain resulted in relief of pain in patients with longer duration as compared to local steroids to other conservative treatments.</p>
In this paper, the parameters of a genetic network for rice flowering time control have been estimated using a multiobjective genetic algorithm approach. We have modified the recently introduced concept of fuzzy dominance to hybridize the well-known Nelder Mead Simplex algorithm for better exploitation with a multi-objective genetic algorithm. A coevolutionary approach is proposed to adapt the fuzzy dominance parameters. Additional changes to the previous approach have also been incorporateddoi:10.1145/1068009.1068073 dblp:conf/gecco/KoduruDWRL05 fatcat:2bmpopex4bhapgwc2lbbs2ux4a
more »... e for faster convergence, including elitism. Our results suggest that this hybrid algorithm performs significantly better than NSGA-II, a standard algorithm for multiobjective optimization.
2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)
Ajitha 627 112 Integrated Cloud Internet of Things for Realtime Applications Koduru Suresh, G Vinoth Kumar 631 113 Microcontroller based Automatic Sun Tracking Solar Panel Ghassan Khazal Ali, ... AroulCanessane 166 31 IoT enabled Aquaponics with wireless Sensor Smart Monitoring Praveen C Menon 171 32 Lossless Compression Techniques for Low Bandwidth IoTs Sudhir K. ...doi:10.1109/i-smac49090.2020.9243441 fatcat:tmn4i477wfddzion6tzlw57wj4
Praveen kumar, G. Aruna, K. ):58-68. 10. Koduru Swathi, Kalepu swathi, Mitta chaitanya. Method development for the Simultaneous Estimation of Metformin and Alogliptin by using RP-HPLC. ...fatcat:lzyznvfmhrav5og5byp2olfuoa
Koduru et al. (2005) used the concept of fuzzy dominance to assign a single measure of fitness to each individual. ... Maneeratana et al. (2005) and Praveen Kumar et al. (2007) proposed a co-evolution of multiple species by splitting the population into a number of sub-populations or species that share a gene similarity ...doi:10.1080/03052151003739598 fatcat:qv6k6rqozredpjh2iz4jxjwqxi
Praveen Kumar for the technical support in SPR experiments. ...doi:10.1002/mbo3.838 pmid:31094100 pmcid:PMC6741143 fatcat:tgaqeo2covfmbckuirwbq6upxy