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Montvale, NJ, United States

Jeong I.,DATA Incorporated
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography | Year: 2012

Amid rapidly increasing imagery inputs and their volume in a remote sensing imagery database, Content-Based Image Retrieval (CBIR) is an effective tool to search for an image feature or image content of interest a user wants to retrieve. It seeks to capture salient features from a 'query' image, and then to locate other instances of image region having similar features elsewhere in the image database. For a CBIR approach that uses texture as a primary feature primitive, designing a texture descriptor to better represent image contents is a key to improve CBIR results. For this purpose, an extended feature vector combining the Gabor filter and co-occurrence histogram method is suggested and evaluated for quantitywise and qualitywise retrieval performance criterion. For the better CBIR performance, assessing similarity between high dimensional feature vectors is also a challenging issue. Therefore a number of distance metrics (i.e. L1 and L2 norm) is tried to measure closeness between two feature vectors, and its impact on retrieval result is analyzed. In this paper, experimental results are presented with several CBIR samples. The current results show that 1) the overall retrieval quantity and quality is improved by combining two types of feature vectors, 2) some feature is better retrieved by a specific feature vector, and 3) retrieval result quality (i.e. ranking of retrieved image tiles) is sensitive to an adopted similarity metric when the extended feature vector is employed. Source


Moss H.B.,U.S. National Institutes of Health | Chen C.M.,DATA Incorporated | Yi H.-Y.,DATA Incorporated
Drug and Alcohol Dependence | Year: 2014

Background: Alcohol, tobacco and marijuana are the most commonly used drugs by adolescents in the U.S. However, little is known about the patterning of early adolescent substance use, and its implications for problematic involvement with substances in young adulthood. We examined patterns of substance use prior to age 16, and their associations with young adult substance use behaviors and substance use disorders in a nationally representative sample of U.S. adolescents. Method: Using data from Wave 4 of the Add Health Survey (n= 4245), we estimated the prevalence of various patterns of early adolescent use of alcohol, cigarettes, and marijuana use individually and in combination. Then we examined the effects of patterns of early use of these substances on subsequent young adult substance use behaviors and DSM-IV substance use disorders. Results: While 34.4% of individuals reported no substance use prior to age 16, 34.1% reported either early use of both alcohol and marijuana or alcohol, marijuana and cigarettes, indicating the relatively high prevalence of this type of polysubstance use behavior among U.S. adolescents. Early adolescent use of all three substances was most strongly associated with a spectrum of young adult substance use problems, as well as DSM-IV substance use disorder diagnoses. Conclusions: This research confirms the elevated prevalence and importance of polysubstance use behavior among adolescents prior to age 16, and puts early onset of alcohol, marijuana and cigarette use into the context of use patterns rather than single drug exposures. © 2013. Source


Yoon Y.-H.,DATA Incorporated | Yi H.-Y.,DATA Incorporated | Thomson P.C.,Montgomery College
Alcoholism: Clinical and Experimental Research | Year: 2011

Background: Hispanics have much higher cirrhosis mortality rates than non-Hispanic Blacks and Whites. Although heavy alcohol use and hepatitis C virus (HCV) infection are two major risk factors for cirrhosis, no studies have systematically assessed the contribution of alcohol- and HCV-related cirrhosis deaths to the total cirrhosis mortality for Hispanics as a whole and its variations across Hispanic subgroups. To fill this gap, this study presents the latest data on total cirrhosis mortality as well as its component alcohol- and HCV-related cirrhosis mortality for all Hispanics and for Hispanic subgroups. Methods: The multiple-cause approach was used to analyze data from the U.S. Multiple Cause of Death Data Files for 28,432 Hispanics and 168,856 non-Hispanic Whites (as a comparison group) who died from cirrhosis as the underlying or a contributing cause during 2000-2004. Four major Hispanic subgroups were defined by national origin or ancestry, including Mexicans, Puerto Ricans, Cubans, and Other Hispanics. The cirrhosis deaths were divided into four distinctive cause-of-death categories: alcohol-related, HCV-related, both alcohol- and HCV-related, and neither alcohol- nor HCV-related. Age-adjusted total cirrhosis death rates and percentage shares of the cause-specific categories were compared across Hispanic subgroups and non-Hispanic Whites. Results: Compared with non-Hispanic Whites, all Hispanic subgroups except Cubans had much higher cirrhosis mortality. The age-adjusted total cirrhosis death rates were twice as high for Puerto Ricans and Mexicans as for non-Hispanic Whites. Alcohol-related and HCV-related cirrhosis death rates also were higher for most Hispanic subgroups than for non-Hispanic Whites. Conclusions: Heavy alcohol use and hepatitis C viral infection are two important factors contributing to the high cirrhosis mortality among Hispanics. However, their relative contributions to total cirrhosis mortality varied by gender and Hispanic subgroup. This information is useful for targeted prevention and intervention efforts to address the excessive cirrhosis mortality in the Hispanic population. © 2010 by the Research Society on Alcoholism. No claim to original U.S. government works. Source


Moss H.B.,U.S. National Institutes of Health | Chen C.M.,DATA Incorporated | Yi H.-Y.,DATA Incorporated
Journal of Studies on Alcohol and Drugs | Year: 2012

Neither the Diagnostic and Statistical Manual of Mental Disorders, Third Edition, Revised (DSM-III-R), nor the DSMIV uses measures of substance consumption as part of the diagnostic criteria for substance use disorders. Therefore, this report examined the extent to which frequency and/or quantity of consumption across a broad spectrum of substances are associated with DSM-IV diagnoses of specific substance use disorders and whether there are informative hierarchical levels of consumption among users, abusers, and those who are substance dependent in the U.S. general population. Method: The analyses focused on consumption data from respondents of the 2001-2002 National Epidemiologic Survey of Alcohol and Related Disorders. Multinomial logistic regression was used to predict DSM-IV diagnoses of dependence or abuse based on the continuous consumption measures. Results: Among individuals who used substances, the substances with the greatest liability for dependence were nicotine fi rst and cocaine second. For nearly all substances investigated, users without specific substance use disorders demonstrated lower levels of quantity and frequency of consumption relative to those with DSM-IV abuse and dependence disorders. Dose-response curves for the log odds of abuse and dependence suggested unidimensionality of abuse and dependence for frequency of alcohol drinking; frequency of cannabis use; frequency of opioid use; frequency of hallucinogen use; and, to a lesser extent, frequency of amphetamine use. However, the dose-response curves for the quantity of alcohol consumed demonstrated differential patterns for abuse and dependence such that alcohol dependence has a distinctly greater "quantity of use" relationship than that found among alcoholabusing individuals. Conclusions: These results confi rm the fi ndings of others concerning the unidimensionality of abuse and dependence diagnoses when consumption variables alone are examined and suggest that consumption measures may be useful metrics gauging severity. Source


MONTVALE, N.J. and NEW DELHI, India, June 21, 2013 (GLOBE NEWSWIRE) -- DATA Inc., a globally recognized IT Software and Service Provider, and Digital Footsteps Ltd., a leading tour app provider, announced today that it has won in the 'Best of the World' category at the 2013 NJTC Mobile Apps Forum and Competition. The award, presented at the event on June 20, 2013 at Fairleigh Dickinson University in Madison, NJ was among 10 awards presented to leading New Jersey technology companies. A photo accompanying this release is available at http://www.globenewswire.com/newsroom/prs/?pkgid=19491 "We are excited to receive this recognition from the NJTC," said Ashis Bhisey, Vice President of Technology for DATA Inc.  "In the rapidly evolving mobile space, we are delighted to deliver cutting-edge value to our clients." Designed by Julie Waldman, and developed and maintained by DATA Inc., Digital Footsteps is a popular mobile app and re-usable framework targeted at the travel and hospitality industry. The intent of the mobile app is to act as a 'digital concierge' to drive traffic to local businesses and tourist attractions within the area surrounding a hotel or other facility. Competing against over 30 solutions in general and 5 solutions in the particular category, DATA Inc. and Digital Footsteps were judged by a panel of experts on multiple criteria. The criteria included clarity of the solution, value, and credibility. "The NJTC Is excited to conduct this competition and is amazed at some of the innovative solutions our members have come up with," said Paul Frank, Vice President of Membership for NJTC. "We are also extremely excited that our long-time member, DATA Inc., and its partner have been recognized by our impartial judges for this esteemed award." "While the technology is currently focused on the tourism industry, including hotels, cruise lines, and tour operators, ultimately, the core technology can support multiple industries including universities, community newspapers and publishers," said Julie Waldman, Founder of Digital Footsteps Ltd.  "It can be spun off in many different directions and we're looking to our partner DATA Inc. to help us achieve our goals." For more information, please visit www.datainc.biz or www.digitalfootsteps.com Since 1983, DATA Inc. has provided IT Solutions to organizations on the Fortune 100 list as well as the Public Sector. Throughout the organization's 28 year history, DATA Inc. has grown into an award-winning full service IT solutions provider headquartered in Montvale, NJ with development centers and offices throughout North America, Europe and Asia. Digital Footsteps offers the tourism industry a complete mobile tourist app designed to allow businesses to capitalize on the app market. Each multimedia application features easy-to-use, audio-enabled turn by turn navigation, text, images, audio and video content to create a richer, more dynamic tour, all completely without Internet required. The Digital Footsteps platform also enables advertising about local businesses, complete with door-to-door navigation, coupons and discounts. Our headquarters are located in Jacksonville, Florida with offices and development centers in Asia and the Middle East. About the New Jersey Technology Council The New Jersey Technology Council provides business support, networking opportunities, information, advocacy and recognition of technology companies and their leaders. Founded in 1996, NJTC's more than 950 member companies work together to support their own enterprises while advancing New Jersey's status as a leading technology center in the United States. Visit http://www.njtc.org

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