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Gonzalez-Cabrera Jaime,Moreno-Carrillo Gabriel,Lopez-Juarez Alejandro A.,Anguiano-Amezcua Juan A.,Sanchez-Gonzalez Jorge A.,Mendoza-Ceballos Mario Y.,Arredondo-Bernal Hugo C. 한국응용곤충학회 2023 Journal of Asia-Pacific Entomology Vol.26 No.2
Two colonies of the parasitoid Trichopria drosophilae (Perkins) (Hymenoptera: Diapriidae) are reproduced using a mass rearing approach in Mexico. The first colony uses the worldwide commercial host Drosophila melanogaster Meigen (Diptera: Drosophilidae) reared on an artificial diet (=T. drosophilae-Dm), while the second colony uses D. suzukii Matsumura reared on fresh banana (=T. drosophilae-Ds). Since theoretically the type of colony host affects parasitoid field performance, we conducted concatenated laboratory and field studies of both parasitoid lines. In the laboratory trials, T. drosophilae-Ds exhibited greater longevity, larger adult size, and higher fecundity than T. drosophilae-Dm. Both lines of parasitoids oviposited indistinctly in three drosophilid species commonly found in the berry zones of Colima: D. melanogaster, D. suzukii, and Zaprionus indianus Gupta. In the field trials, T. drosophilae-Ds had a larger population size and provided 2.4-fold higher pest reduction compared to T. drosophilae-Dm. Under the particular conditions of these field trials (berry fields separate from each other ≤ 3 km, and intensive agronomic management), these results demonstrate that T. drosophilae-Ds can significantly contribute more to the integrated management of D. suzukii than when reared on the commercial host D. melanogaster.
A Novel Approach to Trojan Horse Detection in Mobile Phones Messaging and Bluetooth Services
( Juan A. Ortega ),( Daniel Fuentes ),( Juan A. Lvarez ),( Luis Gonzalez-abril ),( Francisco Velasco ) 한국인터넷정보학회 2011 KSII Transactions on Internet and Information Syst Vol.5 No.8
A method to detect Trojan horses in messaging and Bluetooth in mobile phones by means of monitoring the events produced by the infections is presented in this paper. The structure of the detection approach is split into two modules: the first is the Monitoring module which controls connection requests and sent/received files, and the second is the Graphical User module which shows messages and, under suspicious situations, reports the user about a possible malware. Prototypes have been implemented on different mobile operating systems to test its feasibility on real cellphone malware. Experimental results are shown to be promising since this approach effectively detects various known malware.
Prediabetes and Diabetes in Predominately Hispanic College Students
Juan Gonzalez,황인선,Jung-Il Oh,Alayna Mora,Alondra Lopez,이광용 한국웰니스학회 2023 한국웰니스학회지 Vol.18 No.3
Due to the high rate of adult-onset type 2 diabetes in South Texas, the purpose of this study was to investigate the prevalence of prediabetes and diabetes among college age students 18-30 years old between colleges at a predominantly Hispanic institution. De-identified blood biomarker data was quantitatively analyzed and compared with the American Diabetes Association(ADA) prediabetes and diabetes 2015 criteria. The significance of this research targets a young population where early intervention would be most effective. De-identified blood biomarkers such as fasting glucose levels and hemoglobin HgA1c levels, along with BMI were analyzed. These results were organized by genders and colleges across campus. This research was reviewed and approved by the university Institutional Review Board. Results for males(n=68) measured fasting glucose (96.25±27.52mg/dL), HgA1c levels(5.772±1.050%), as well as BMI(32.41±9.302). Data for females(n=152) measured fasting glucose(92.56±27.23mg/dL), HgA1c(5.744±0.922%), and BMI (32.72±9.060). Students across genders and colleges on campus at a predominantly Hispanic institution were below the blood biomarker levels that define diabetes. However, students are at risk for prediabetes according to the 2015 ADA prediabetes HgA1c criteria. Results indicated that 5 out of the 7 colleges on campus were prediabetic according to the HgA1c levels reported. This is a significant finding and suggests that an early surveillance mechanism is recommended for the Hispanic college age population in South Texas.
Juan Luis Gonzalez Bello,Munchurl Kim(김문철) 한국방송·미디어공학회 2020 한국방송공학회 학술발표대회 논문집 Vol.2020 No.11
Unsupervised deep learning methods have shown impressive results for the challenging monocular depth estimation task, a field of study that has gained attention in recent years. A common approach for this task is to train a deep convolutional neural network (DCNN) via an image synthesis sub-task, where additional views are utilized during training to minimize a photometric reconstruction error. Previous unsupervised depth estimation networks are trained within a fixed depth estimation range, irrespective of its possible range for a given image, leading to suboptimal estimates. To overcome this suboptimal limitation, we first propose an unsupervised adaptive depth estimation method guided by minimum and maximum (min-max) depth priors for a given input image. The incorporation of min-max depth priors can drastically reduce the depth estimation complexity and produce depth estimates with higher accuracy. Moreover, we propose a novel network architecture for adaptive depth estimation, called the AdaMM-DepthNet, which adopts the min-max depth estimation in its front side. Intensive experimental results demonstrate that the adaptive depth estimation can significantly boost up the accuracy with a fewer number of parameters over the conventional approaches with a fixed minimum and maximum depth range.
Juan, Bermejo-Ballesteros,Javier, Cubas,Francisco, Casas,Enrique, Martinez-Gonzalez Techno-Press 2022 Advances in aircraft and spacecraft science Vol.9 No.5
Space-telescopes placed in the Sun-Earth second Lagrange point (L2) observe the sky following a scan strategy that is usually based on a spin-precession motion. Knowing which regions of the sky will be more observed by the instrument is important for the science operations and the instrument calibration. Computing sky observation parameters numerically (discretizing time and the sky) can consume large amounts of time and computational resources, especially when high resolution isrequired.This problem becomesmore critical if quantities are evaluated at detector level instead of considering the instrument entire Field of View (FoV). In previous studies, the authors have derived analytic solutions for quantities that characterize the observation of each point in the sky in terms of observation time according to the scan strategy parameters and the instrument FoV. Analytic solutions allow to obtain results faster than using numerical methods as well as capture detailed characteristics which can be overseen due to discretization limitations. The original approach is based on the analytic expression of the instrument trace over the sky. Such equations are implicit and thusrequiresthe use of numeric solversto compute the quantities.In this work, a new and simpler approach for computing one ofsuch quantities(mean observation time) is presented.The quantity is first computed for pure spin motion and then the effect of the spin axis precession is incorporated under the assumption that the precession motion is slow compared to the spin motion.In this sense, this new approach further simplifies the analytic approach, sparing the use of numeric solvers, which reduces the complexity of the implementation and the computing time.
Design and Validation of a Low-Power Network Node for Pervasive Applications
Juan-Carlos Cano,Carlos T. Calafate,Pietro Manzoni,Jose-Manuel Cano,Eva Gonzalez 보안공학연구지원센터 2008 International Journal of Software Engineering and Vol.2 No.1
Pervasive computing refers to making many computing devices available throughout the physical environment, while making them effectively invisible to the user. To further increase the applicability of ubiquitous computing, minimizing energy consumption and hardware cost are mandatory in real world applications. In this paper we present our platform prototype for ubiquitous computing, which has been implemented based on commercial Bluetooth off-theshelf components. It allows every object to be augmented with processing and communication capabilities in order to make them "smart". We validate our proposal by evaluating the tradeoff between power consumption and performance for our experimental prototype. Our prototype has been used in a museum application to support ubiquitous computing between devices without requiring a priori knowledge of each other.
Juan, Bermejo-Ballesteros,Javier, Cubas,Francisco, Casas,Enrique, Martinez-Gonzalez Techno-Press 2022 Advances in aircraft and spacecraft science Vol.9 No.5
Space-telescopes placed in the Sun-Earth second Lagrange point (L2) observe the sky following a scan strategy that is usually based on a spin-precession motion. Knowing which regions of the sky will be more observed by the instrument is important for the science operations and the instrument calibration. Computing sky observation parameters numerically (discretizing time and the sky) can consume large amounts of time and computational resources, especially when high resolution isrequired.This problem becomesmore critical if quantities are evaluated at detector level instead of considering the instrument entire Field of View (FoV). In previous studies, the authors have derived analytic solutions for quantities that characterize the observation of each point in the sky in terms of observation time according to the scan strategy parameters and the instrument FoV. Analytic solutions allow to obtain results faster than using numerical methods as well as capture detailed characteristics which can be overseen due to discretization limitations. The original approach is based on the analytic expression of the instrument trace over the sky. Such equations are implicit and thusrequiresthe use of numeric solversto compute the quantities.In this work, a new and simpler approach for computing one ofsuch quantities(mean observation time) is presented.The quantity is first computed for pure spin motion and then the effect of the spin axis precession is incorporated under the assumption that the precession motion is slow compared to the spin motion.In this sense, this new approach further simplifies the analytic approach, sparing the use of numeric solvers, which reduces the complexity of the implementation and the computing time.