Evaluación de parámetros productivos y reproductivos en la bufalera el Marañón en la Dorada en el Departamento de Caldas

Tesis (Zootecnista). -- Universidad de La Salle. Facultad de Ciencias Agropecuarias. Programa de Zootecnia, 2014

Implementación de estrategias para la mejora en la prestación del servicio de optometría brindado en la E.S.E. Hospital Reina Sofía de Lérida por los estudiantes de optometría de la Universidad de La Salle en sus prácticas extramurales, Tolima 2014

Tesis (Optómetra). -- Universidad de La Salle, Facultad de Ciencias de La Salud. Programa de Optometría, 2014

Relación del gasto público social con el índice de desarrollo humano municipal en Caldas

Bogotá (Colombia): Universidad de La Salle. Facultad de Ciencias Económicas y Sociales. Programa de Economía

Productos Caldas.

186 hojas : ilustraciones, fotografías a color.

Fortalecimiento económico y comercial de las vocaciones productivas artesanales del departamento de Caldas, 2015.

43 documentos : ilustraciones, fotografías, gráficos.

Levantamento de adultos do bicudo Anthonomus grandis (Boh., 1843) (Coleoptera, Curculionidae) utilizando armadilhas com feromônio, em alguns municípios do Estado de São Paulo.

1988

Observação da diapausa em adultos do bicudo do algodoeiro (Anthonomus grandis Boh., 1843) (Coleoptera, Curculionidae) no Estado de São Paulo.

Como a diapausa manifestada nos bicudos e um importante mecanismo de sua sobrevivencia nos Estados Unidos durante a entressafra, e fundamental que se conhecam detalhes de sua ocorrencia no Brasil, a fim de se introduzirem tecnicas eficientes de manejo dessa especie. Com o presente trabalho objetivou-se verificar a incidencia da diapausa em lavouras de algodao de alguns municipios do Estado de Sao Paulo. Na safra 1983/84 o estudo desenvolveu-se em 10 municipios e em 1984/85, em 7 municipios. O numero de adultos coletados, bem como o numero de coletas realizadas em cada tempo, foram variaveis. Em praticamente todas as coletas ocorreram adultos em diapausa, excetuando-se as de 18/04/84 e 15/02/85 para Porto Feliz e a de 10/05/1985 para Tiete. As maiores porcentagens de bicudos em diapausa foram observadas nos meses de marco a abril, fase final do ciclo das plantas. Na safra 1984/85 altas porcentagens ocorreram tambem em maio, mas na safra 1983/84 nao foram conduzidas coletas nessa epoca. Os maiores indices de diapausa foram observados em Monte Mor, no periodo de 19-23/03/84, com cerca de 54% e em Campinas, no periodo de 12-18/03/85, com cerca de 56%.

Observações sobre biologia de Spaethiella tristis (Boh.) (Coleoptera: Chrysomelidae) e danos causados ao dendezeiro.

O ciclo de vida de Spaethiella tristis (Boh.), um besouro que se alimenta de folhas de dende (Elaeis guineensis Jacq.), é de mais ou menos 56 dias, sob condicoes de laboratorio. Seus inimigos naturais, coletados de um plantio de dende na Estacao Experimental do Rio Urubu/CPAA, foram: Paecilomyces farinosus (Samson & Evans) e Metarhizium sp. parasitando larvas e adultos, respectivamente, e uma especie nao identificada de Chalcididae (Hymenoptera), parasitando larvas. O dano da folha causado por S. tristis é agravado pela infeccao do fungo Pestalotiopsis guepini (Desm.) Steyaert, que se instala nos ferimentos feitos pelo inseto.

Influence of Two Acyclic Homoterpenes (Tetranorterpenes) on the foraging behavior of Anthonomus grandis Boh.

2016

A crash avoidance framework for heavy equipment control systems using 3D imaging sensors

This paper presents a preliminary crash avoidance framework for heavy equipment control systems. Safe equipment operation is a major concern on construction sites since fatal on-site injuries are an industry-wide problem. The proposed framework has potential for effecting active safety for equipment operation. The framework contains algorithms for spatial modeling, object tracking, and path planning. Beyond generating spatial models in fractions of seconds, these algorithms can successfully track objects in an environment and produce a collision-free 3D motion trajectory for equipment.

A methodology for object identification and tracking in construction based on spatial modeling and image matching techniques

Understanding the motion characteristics of on-site objects is desirable for the analysis of construction work zones, especially in problems related to safety and productivity studies. This article presents a methodology for rapid object identification and tracking. The proposed methodology contains algorithms for spatial modeling and image matching. A high-frame-rate range sensor was utilized for spatial data acquisition. The experimental results indicated that an occupancy grid spatial modeling algorithm could quickly build a suitable work zone model from the acquired data. The results also showed that an image matching algorithm is able to find the most similar object from a model database and from spatial models obtained from previous scans. It is then possible to use the matched information to successfully identify and track objects.

Object identification based on 3D spatial models of construction sites

On obstacle-cluttered construction sites, understanding the motion characteristics of objects is important for anticipating collisions and preventing accidents. This study investigates algorithms for object identification applications that can be used by heavy equipment operators to effectively monitor congested local environment. The proposed framework contains algorithms for three-dimensional spatial modeling and image matching that are based on 3D images scanned by a high-frame rate range sensor. The preliminary results show that an occupancy grid spatial modeling algorithm can successfully build the most pertinent spatial information, and that an image matching algorithm is best able to identify which objects are in the scanned scene.

Development of an automated safety assessment framework for construction activities

This paper presents an ongoing research project concerning the development of an automated safety assessment framework for earthmoving and surface mining activities. This research seeks to determine data needs for safety assessment and investigates how to utilize collected data to promote more informed and efficient safety decision-making. The research first examined accidents and fatalities involved with earthmoving and surface mining activities—more specifically, those involving loading, hauling, and dumping operations,—investigated risk factors involved with the accidents, and finally identified data needs for safety assessment based on safety regulations and practices. An automated safety assessment method was then developed using the data needs that had been identified. This research is expected to contribute to the introduction of a fundamental framework for automated safety assessment and the systematic collection of safety-related data from construction activities. Implementation of the entire safety assessment process on actual construction sites remains a task for future research.

Modeling object identification and tracking errors on image-based safety assessment of earthmoving operations

Object identification and tracking have become critical for automated on-site construction safety assessment. The primary objective of this paper is to present the development of a testbed to analyze the impact of object identification and tracking errors caused by data collection devices and algorithms used for safety assessment. The testbed models workspaces for earthmoving operations and simulates safety-related violations, including speed limit violations, access violations to dangerous areas, and close proximity violations between heavy machinery. Three different cases were analyzed based on actual earthmoving operations conducted at a limestone quarry. Using the testbed, the impacts of device and algorithm errors were investigated for safety planning purposes.