1,721,010 research outputs found
Automated Data Analysis with Large Language Models for Warehouse Robotics Applications
No full textFull text not availableThe research develops two automated data analysis frameworks, ARMADA and FACTS, to tackle essential operational problems in warehouse robotics systems. Warehouse robotics environments encounter ongoing problems with maintenance optimization and technical documentation processing that negatively affect operational efficiency.
The ARMADA(Anomaly Recognition for Maintenance and Diagnostic Applications) system implements Context-Augmented Anomaly Detection through a method that unites statistical modeling with operational context awareness. The analysis of operational states and temporal sensor data patterns by ARMADA resulted in a 43.5\% improvement in precision and a 13.7\% decrease in false positive occurrences. The system reduces operational costs substantially because it minimizes unneeded maintenance stoppages while preserving computational efficiency for systems with limited \#
resources.
The FACTS (Factual Assessment and Content Trustworthiness System) uses layout-aware processing and hierarchical verification to tackle document understanding challenges. Through its multi-stage pipeline, which combined computer vision with language model reasoning when processing complex technical documentation, FACTS achieved a 37.2\% better information extraction accuracy and reduced verification errors by 29.8\%.
The frameworks underwent complete empirical testing through both experimental simulations and operational field implementations. The mathematical frameworks establish flexible methods to merge context-sensitive multimodal processing with LLM functionality for industrial applications, showing how AI can improve warehouse operations through smarter automated systems
Analysis of fast charging topologies of electric vehicles
Full text linkThe thesis aims to implement the fast-charging topologies for Electric Vehicles (EVs). Several topologies are denoted as fast-charging topologies; among them, the three-phase three-level neutral point clamped AC/DC rectifier has been chosen. In EV charging systems, there are two parts: AC/DC and DC/DC. The AC-DC part is mainly highlighted in this thesis because the DC-DC part is lossless. Converter analysis combines a double cascade control loop and a modified carrier-based PWM method. From the analysis, Total harmonic distortion (THD), power factor, efficiency, and ripple are estimated to ensure the power quality. Based on the evaluation, the voltage level is maintained. The EV charging standard, on the other hand, is deficient compared to the fast-charging standard. The per-unit method is applied to address the current issues. However, it is not possible to obtain the desired current. So, the proposed rectifier works as a charger instead of a fast charger
Environmental governmentality as a policy apparatus: The case of shrimp aquaculture in Bangladesh
No full textAbstract not available
FARMERS' KNOWLEDGE ON ADVERSE EFFECT OF USING AGRO-CHEMICALS
Full text linkA Thesis
Submitted to the Faculty of Agriculture,
Sher-e-Bangla Agricultural University, Dhaka,
in partial fulfillment of the requirements
for the degree of
MASTER OF SCIENCE
IN
AGRICULTURAL EXTENSION AND INFORMATION SYSTEMThe purposes of this study were to identify the farmers' knowledge on adverse effect of
using agro-chemicals and to determine their selected characteristics, namely age,
education, family size, farm size, annual income, organizational participation,
cosmopoliteness, extension contact, innovativeness and attitude towards use of agro
chemicals. The study also explored the relationships between farmers' selected
characteristics with their knowledge on adverse effect of using agro-chemicals for crop
production. The study was conducted in Kolerkandi; Shekerdari, Jagannathpur and
Mirkamari villages of Solimpur Union of Ishwardi Upazila under Pabna district. Data
were collected from a sample of randomly selected 100 farmers out of a total population
of 550. The data were collected through personal interview by using an interview
schedule during the period from 20 August to 21 September 2005. Appropriate scales
were developed in order to measure the variables. Pearson's Product Moment Correlation
Co-efficient (r) were computed to examine the relationship between the concerned
variables.
Findings revealed that three-fourth (75 percent) of the respondents had medium level of
knowledge on adverse effect of using agro-chemicals as compared to 14 percent low and
11 percent high knowledge. Correlation analysis indicated that six characteristics of
farmers namely education, farm size, annual income, cosmopolitcncss, extension contact
and innovativeness had significant positive relationships with their knowledge on
adverse effect of using agro-chemicals. On the other hand, age and altitude towards use
of agro-chernicals had significant negative relationship. Family size and organizational
participation of the respondents had no relationship with their knowledge on adverse
effect of using agro-chernicals
From pond to plate: Towards a twin-driven commodity chain in Bangladesh shrimp aquaculture
No full textGlobalization of the agro-food system has led developing nations to orient their production to meet global markets. Consequently, local agricultural systems are increasingly linked to global commodity networks, and generate complex intersections and sometimes tensions. Cultured shrimp in Bangladesh is such a global commodity that connects the local producers with the global consumers starting from pond to plate via a network of diverse actors in a complex manner. Field research in Bangladesh shows that shrimp aquaculture in Bangladesh is moving towards a twin-driven commodity chain in which lead firms govern supply network, while the Shrimp Seal of Quality Organization (SSOQ), a recently emerged third-party certifier, as well as other environmental NGOs define regulatory aspects of the industry. While governance in twin-driven commodity chain offers opportunities for a sustainable aquaculture, it also poses many questions which have significant policy implications for different stakeholders involved in the chain.
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