Using Artificial Neural Networks for Forecasting Algae Counts in a Surface Water System

( Emery A. Coppola Jr ),( Adorable B. Jacinto ),( Tom Atherholt ),( Mary Poulton ),( Linda Pasquarello ),( Ferenc Szidarvoszky ),( Scott Lohbauer ) 한국하천호수학회(구 한국육수학회) 2013 생태와 환경 Vol.46 No.1

Algal blooms in potable water supplies are becoming an increasingly prevalent and serious water quality problem around the world. In addition to precipitating taste and odor problems, blooms damage the environment, and some classes like cyanobacteria (blue-green algae) release toxins that can threaten human health, even causing death. There is a recognized need in the water industry for models that can accurately forecast in real-time algal bloom events for planning and mitigation purposes. In this study, using data for an interconnected system of rivers and reservoirs operated by a New Jersey water utility, various ANN models, including both discrete prediction and classification models, were developed and tested for forecasting counts of three different algal classes for one-week and two-weeks ahead periods. Predictor model inputs included physical, meteorological, chemical, and biological variables, and two different temporal schemes for processing inputs relative to the prediction event were used. Despite relatively limited historical data, the discrete prediction ANN models generally performed well during validation, achieving relatively high correlation coefficients, and often predicting the formation and dissipation of high algae count periods. The ANN classification models also performed well, with average classification percentages averaging 94 percent accuracy. Despite relatively limited data events, this study demonstrates that with adequate data collection, both in terms of the number of historical events and availability of important predictor variables, ANNs can provide accurate real-time forecasts of algal population counts, as well as foster increased understanding of important cause and effect relationships, which can be used to both improve monitoring programs and forecasting efforts.

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Emery Martin 한국디자인학회 2022 한국디자인학회 국제초대전도록 Vol.2022 No.9

Understanding Child Maltreatment in Hanoi : Intimate Partner Violence, Low Self-Control, and Social and Child Care Support

Emery, Clifton R.,Nguyen, Hai Trung,Kim, Jaeyop SAGE Publications 2014 Journal of interpersonal violence Vol.29 No.7

<P>This study aimed to understand the role of low self-control, stress, depression, experience of intimate partner violence (IPV) and child abuse, and social support and child care support in the etiology of child abuse and neglect in Hanoi, Vietnam. The study estimated the prevalence of child maltreatment in a randomly selected, representative cluster sample of 269 Hanoi families. Among these families, 21% reported severe abuse of their children in the past year, 12% reported neglect. Low self-control was found to be strongly associated with child abuse. Life stressors were found to be strongly associated with neglect, but only indirectly with child abuse. Counter-intuitively, a positive interaction between social support and low self-control was found, suggesting that social support of parents low in self-control is associated with more maltreatment. Implications for research, intervention, and criminological theory are discussed.</P>

INSTABILITIES IN A STATE SPACE MODEL OF THE HUMAN COCHLEA

Emery M. Ku,Stephen J. Elliott,Ben Lineton 한국소음진동공학회 2008 한국소음진동공학회 국제학술대회논문집 Vol.2008 No.7

Using Artificial Neural Networks for Forecasting Algae Counts in a Surface Water System

Coppola, Emery A. Jr.,Jacinto, Adorable B.,Atherholt, Tom,Poulton, Mary,Pasquarello, Linda,Szidarvoszky, Ferenc,Lohbauer, Scott The Korean Society of Limnology 2013 생태와 환경 Vol.46 No.1

Algal blooms in potable water supplies are becoming an increasingly prevalent and serious water quality problem around the world. In addition to precipitating taste and odor problems, blooms damage the environment, and some classes like cyanobacteria (blue-green algae) release toxins that can threaten human health, even causing death. There is a recognized need in the water industry for models that can accurately forecast in real-time algal bloom events for planning and mitigation purposes. In this study, using data for an interconnected system of rivers and reservoirs operated by a New Jersey water utility, various ANN models, including both discrete prediction and classification models, were developed and tested for forecasting counts of three different algal classes for one-week and two-weeks ahead periods. Predictor model inputs included physical, meteorological, chemical, and biological variables, and two different temporal schemes for processing inputs relative to the prediction event were used. Despite relatively limited historical data, the discrete prediction ANN models generally performed well during validation, achieving relatively high correlation coefficients, and often predicting the formation and dissipation of high algae count periods. The ANN classification models also performed well, with average classification percentages averaging 94 percent accuracy. Despite relatively limited data events, this study demonstrates that with adequate data collection, both in terms of the number of historical events and availability of important predictor variables, ANNs can provide accurate real-time forecasts of algal population counts, as well as foster increased understanding of important cause and effect relationships, which can be used to both improve monitoring programs and forecasting efforts.

방임경험이 청소년의 학교생활적응에 미치는 영향: 청소년 활동의 조절효과를 중심으로

( Clifton R Emery ),양혜린 ( Hye Lin Yang ) 전북대학교 사회과학연구소 2015 지역과 세계 Vol.39 No.1

본 연구는 부모로부터의 방임경험이 학교생활적응에 미치는 영향에서 청소년 활동의 조절효과를 검증하고자 하였다. 이를 위해 ‘한국 아동·청소년 패널조사(KCYPS)’ 중1패널 3차년도 데이터를 활용하였으며, 전국의 청소년 2,035명을 대상으로 변인간의 관계를 분석하였다. 가설검증을 위해 Stata SE12를 이용하여 확률효과분석을 실시하였으며, 분석결과는 다음과 같다. 첫째, 방임경험은 청소년의 학교생활적응에 부적 영향을 주는 것으로 나타났다. 둘째, 청소년 활동은 방임경험과 학교생활적응과의 관계에서 유의미한 조절효과를 나타내는 것으로 확인되었다. 이러한 결과를 토대로 청소년의 학교생활적응 문제에 있어서 청소년 활동의 역할을 살피고, 구체적인 개입방안 및 실천적, 정책적 함의를 제언하였다. The purpose of this study is to examine the effects of exposure to neglect on school adjustment. whether youth activity moderates the relationship between neglect and school adjustment. This study was conducted with data from ‘The Korean Child Youth Panel Study’ 3rd wave and the subjects of the study were 2,035 students. Crucial findings are the following. First, exposure to neglect showed a significantly negative relationship with school adjustment. Second, there are significant moderating effects of youth activity on the neglect -school adjustment relationship. Based on the results, we can find grounds to support strategic intervention.

Children With Disability Are More at Risk of Violence Victimization : Evidence From a Study of School-Aged Chinese Children

Chan, Ko Ling,Emery, Clifton R.,Ip, Patrick SAGE Publications 2016 Journal of interpersonal violence Vol.31 No.6

<P>Although research tends to focus on whether children with disability are more at risk of violence victimization, conclusive evidence on the association, especially in non-Western settings, is lacking. Using a large and representative sample of school-aged children in Hong Kong (<I>N</I> = 5,841, aged 9-18 years), this study aims to fill the research gap by providing reliable estimates of the prevalence of disability and the direct and indirect experiences of violence among children with disability. The study also compares the prevalence of child maltreatment, parental intimate partner violence (IPV), and in-law conflict to explore the factors related to the association between disability and violence victimization. The prevalence of disability among children was about 6%. Children with disability were more likely to report victimization than those without disability: 32% to 60% of the former had experienced child maltreatment, and 12% to 46% of them had witnessed IPV between parents or in-law conflict. The results of a logistic regression showed that disability increased the risk of lifetime physical maltreatment by 1.6 times. Furthermore, low levels of parental education and paternal unemployment were risk factors for lifetime child maltreatment. The risk of child maltreatment could have an almost sixfold increase when the child had also witnessed other types of family violence. Possible explanations and implications of the findings are discussed.</P>

Percoll Process Can Improve Semen Quality and Fertility in Turkey Breeders

Choi, K.H.,Emery, D.A.,Straub, D.E.,Lee, C-S. Asian Australasian Association of Animal Productio 1999 Animal Bioscience Vol.12 No.5

A percoll density gradient technique was developed for producing high quality turkey semen and improving the fertility by removing deleterious cellular components, including spermiophages, bacteria, abnormal or dead spermatozoa, and other cellular debris. The combination of three different percoll densities, 1.05, 1.07, and 1.08 showed the best resolution and was selected to prepare a discontinuous percoll density gradient to obtain healthy spermatozoa from semen smples. Bacteria, spermiophages, and abnormal or dead spermatozoa were detected from the density range from 1.05, 1.05 to 1.07, and 1.07 to 1.08, respectively. Healthy spermatozoa were collected from the density greater than 1.08. Spermatozoa obtained from percoll density gradient centrifugation showed better sperm motility than those from unprocessed pooled semen. Bacteria including Escherichia coli, Staphylococcus aureus, and Proteus spp., were predominant contaminants in turkey semen, and the numbers of cells were approximately $5{\times}10^5$ to $1{\times}10^9cfu/ml$. The overall fertility rates in hens inseminated with processed percoll density gradient were higher than those in hens with unprocessed semen especially for unhealthy sperm. In conclusion, semen quality can be improved by percoll density gradient centrifugation, which augmented the fertility of turkey breeders.

Value of Ultrasound in Rheumatologic Diseases

강태영,Laura Horton,Paul Emery,Richard J. Wakefield 대한의학회 2013 Journal of Korean medical science Vol.28 No.4

The use of musculoskeletal ultrasound in rheumatology clinical practice has rapidly increased over the past decade. Ultrasound has enabled rheumatologists to diagnose,prognosticate and monitor disease outcome. Although international standardization remains a concern still, the use of ultrasound in rheumatology is expected to grow further as costs fall and the opportunity to train in the technique improves. We present a review of value of ultrasound, focusing on major applications of ultrasound in rheumatologic diseases.

유한요소법을 이용한 자연대류열전달 수치해석 연구

이진욱,Ashley F. Emery 한국에너지학회 1998 에너지공학 Vol.7 No.1

자연대류열전달에 있어서 유체의 속도는 온도장에 의해 크게 영향을 받는다. 따라서 유체의 물성치의 변화는 유동장 및 온도장에 크게 영향을 미칠 수 있다. 본 연구에서는 물성치에 의한 영향을 분석하기 위하여 동일한 레이레이수(Rayleigh number)하에서 물성치의 대표적인 무차원수인 프란틀수(Prandtl number)가 넓은 범위에서 변하는 경우에 대한 연구를 수행하였다. 그리고 유체의 점성계수 및 열전도도를 온도에 따른 2차원 다항식 함수로 모델링하여 전산해석을 시도하여 그 영향을 분석하고자 시도하였다. 열전달량의 척도인 누셀트수(Nusselt number)의 프란틀수 의존도는 레이레이수 의존도에 비하면 약한 편이지만 비교적 강한 것으로 나타났다. 물성치가 온도의 함수로 주어지는 경우, 유동장은 경계면을 제외하고는 비교적 강한 것으로 나타났다. 물성치가 온도의 함수로 주어지는 경우, 유동장은 경계면을 제외하고는 비교적 약한 영향을 받지만 온도장은 강한 영향을 받는 것으로 나타났으며, 특히 열전도도가 온도의 함수로 주어지는 경우에 온도장에 미치는 영향은 상당히 강한 것으로 관찰되었다. In natural convection flows, the fluid velocities are highly dependent on the thermal field and property variations can have a strong effect on both the flow and thermal fields. To examine the effect of property variations, at first, numerical analyses covering wide range of the Prandtl number under the same Rayleigh numbers have been carried out. Next, we have modeled the viscosity and thermal conductivity as parabolic functions of temperature and a comprehensive set of numerical solutions have been obtained to understand the effect. The Prandtl number dependence of Nusselt number is fairly strong even though the effect is still weak compared to the Rayleigh number dependence. When thermophysical properties are dependent on temperature, the flow field showed a fairly weak variation except near boundaries, whereas the temperature field is strongly affected, especially by the temperature dependent thermal conductivity.