Sensor data-based decision making

Increasing globalization and growing industrial system complexity has amplified the interest in the use of information provided by sensors as a means of improving overall manufacturing system performance and maintainability. However, utilization of sensors can only be effective if the real-time data can be integrated into the necessary business processes, such as production planning, scheduling and execution systems. This integration requires the development of intelligent decision making models that can effectively process the sensor data into information and suggest appropriate actions. To be able to improve the performance of a system, the health of the system also needs to be maintained. In many cases a single sensor type cannot provide sufficient information for complex decision making including diagnostics and prognostics of a system. Therefore, a combination of sensors should be used in an integrated manner in order to achieve desired performance levels. Sensor generated data need to be processed into information through the use of appropriate decision making models in order to improve overall performance. In this dissertation, which is presented as a collection of five journal papers, several reactive and proactive decision making models that utilize data from single and multi-sensor environments are developed. The first paper presents a testbed architecture for Auto-ID systems. An adaptive inventory management model which utilizes real-time RFID data is developed in the second paper. In the third paper, a complete hardware and inventory management solution, which involves the integration of RFID sensors into an extremely low temperature industrial freezer, is presented. The last two papers in the dissertation deal with diagnostic and prognostic decision making models in order to assure the healthy operation of a manufacturing system and its components. In the fourth paper a Mahalanobis-Taguchi System (MTS) based prognostics tool is developed and it is used to estimate the remaining useful life of rolling element bearings using data acquired from vibration sensors. In the final paper, an MTS based prognostics tool is developed for a centrifugal water pump, which fuses information from multiple types of sensors in order to take diagnostic and prognostics decisions for the pump and its components --Abstract, page iv

The Influence of Instagram and Depression Amongst College-Aged Individuals

Social media has impacted the lives of many young adults within today’s society. While social media has connected individuals from around the world, it has also blurred the truth from reality. Quite often, social media users will give a glimpse into their life where judgements are free to be made by their audience. Instagram is a noteworthy platform that is highly utilized, but also highly critical to one’s mental health. Previous research has explored the significance between mental health and social media; however, the aim of this current study is to carefully examine the connection between depression and Instagram usage amongst college-aged individuals. The present study used a mixed-methods research in which data was collected from students attending Long Island University’s Post Campus. Participants were asked to complete an anonymous survey that was distributed via email link. Results indicated that Instagram usage does not influence depression amongst college-aged individuals

Trade finance in crisis : should developing countries establish export credit agencies ?

New data on export insurance and guarantees suggest that publicly backed export credit agencies have played a role to prevent a complete drying up of trade finance markets during the current financial crisis. Given that export credit agencies are mainly located in advanced and emerging economies, the question arises whether developing countries that are not equipped with these agencies should establish their own agencies to support exporting firms and avoid trade finance shortages in times of crisis. This paper highlights a number of issues requiring attention in the decision whether to establish such specialized financial institutions. It concludes that developing countries should consider export credit agencies only when certain pre-requirements in terms of financial capacity, institutional capability, and governance are met.Debt Markets,Emerging Markets,Access to Finance,Banks&Banking Reform,Financial Intermediation

RFID-Based Smart Freezer

This paper presents a novel radio-frequency identification (RFID)-based smart freezer using a new inventory-management scheme for extremely low temperature environments. The proposed solution utilizes backpressure inventory control, systematic selection of antenna configuration, and antenna power control. The proposed distributed-inventory-control (DIC) scheme dictates the amount of items transferred through the supply chain. when a high item visibility is ensured, the control scheme maintains the desired level of inventory at each supply-chain echelon. The performance of the DIC scheme is guaranteed using a Lyapunov-based analysis. The proposed RFID antenna-configuration design methodology coupled with locally asymptotically stable distributed power control ensures a 99% read rate of items while minimizing the required number of RFID antennas in the confined cold chain environments with non-RF-friendly materials. The proposed RFID-based smart-freezer performance is verified through simulations of supply chain and experiments on an industrial freezer testbed operating at -100degF

Henna Ritual Clothing in Anatolia from Past to Present: An Evaluation on Bindalli

The rites of matrimony, which are formed with various rituals and activities, have been accepted as one of the main components of Anatolian traditions from the Ottoman period to the present time. The marriage is celebrated with ceremonies that include a series of entertainment activities. The henna rituals are conducted prior to marriage. In these rituals, first, various folk songs are sung to make brides, who will be away from their parents, cry. Then, fun music is played to entertain the bride, who wears dress in traditional henna clothes called bindalli on henna night. The material, colors, motif, and ornaments of these clothes have symbolic meanings culturally. In Anatolian marriage ceremonies, bindalli clothing decorated with metal and pearls are usually worn by brides. The current study will analyze the henna-night clothes as symbols of the henna ritual by referring to different samples within the framework of intangible cultural heritage, because traditional henna clothes vary by local factors such as cut, fabric, and ornaments, this study will focus on bindalli from Beypazari, Ankara, within the scope of research sampling. By underlining that culture can be preserved through conducting related activities, the importance of this current study rests upon the analysis of how henna-night clothing has changed from past to present. In recent years, it has been shown that variously designed bindalli clothes are being used as henna-night dresses, even prom dress or beachwear

In Situ Soil Property Estimation for Autonomous Earthmoving Using Physics-Infused Neural Networks

A novel, learning-based method for in situ estimation of soil properties using a physics-infused neural network (PINN) is presented. The network is trained to produce estimates of soil cohesion, angle of internal friction, soil-tool friction, soil failure angle, and residual depth of cut which are then passed through an earthmoving model based on the fundamental equation of earthmoving (FEE) to produce an estimated force. The network ingests a short history of kinematic observations along with past control commands and predicts interaction forces accurately with average error of less than 2kN, 13% of the measured force. To validate the approach, an earthmoving simulation of a bladed vehicle is developed using Vortex Studio, enabling comparison of the estimated parameters to pseudo-ground-truth values which is challenging in real-world experiments. The proposed approach is shown to enable accurate estimation of interaction forces and produces meaningful parameter estimates even when the model and the environmental physics deviate substantially.Comment: 10 pages, 6 figures, to be published in proceedings of 16th European-African Regional Conference of the International Society for Terrain-Vehicle Systems (ISTVS

A Robust Localization Solution for an Uncrewed Ground Vehicle in Unstructured Outdoor GNSS-Denied Environments

This work addresses the challenge of developing a localization system for an uncrewed ground vehicle (UGV) operating autonomously in unstructured outdoor Global Navigation Satellite System (GNSS)-denied environments. The goal is to enable accurate mapping and long-range navigation with practical applications in domains such as autonomous construction, military engineering missions, and exploration of non-Earth planets. The proposed system - Terrain-Referenced Assured Engineer Localization System (TRAELS) - integrates pose estimates produced by two complementary terrain referenced navigation (TRN) methods with wheel odometry and inertial measurement unit (IMU) measurements using an Extended Kalman Filter (EKF). Unlike simultaneous localization and mapping (SLAM) systems that require loop closures, the described approach maintains accuracy over long distances and one-way missions without the need to revisit previous positions. Evaluation of TRAELS is performed across a range of environments. In regions where a combination of distinctive geometric and ground surface features are present, the developed TRN methods are leveraged by TRAELS to consistently achieve an absolute trajectory error of less than 3.0 m. The approach is also shown to be capable of recovering from large accumulated drift when traversing feature-sparse areas, which is essential in ensuring robust performance of the system across a wide variety of challenging GNSS-denied environments. Overall, the effectiveness of the system in providing precise localization and mapping capabilities in challenging GNSS-denied environments is demonstrated and an analysis is performed leading to insights for improving TRN approaches for UGVs.Comment: 15 pages, 9 figures, 2 tables, to be published in The Proceedings of the Institute of Navigation GNSS+ 2023 conference (ION GNSS+ 23

Analysis of the relationship between grapevine cultivars, sports and clones via DNA fingerprinting

DNA fingerprinting utilizing RAPD polymorphisms was employed to investigate the relationship among 16 grapevine cultivars and sports thought to have arisen from these cultivars. From 53 primers, a total of 464 bands were generated, of which 29 % were common to all genotypes tested. Cluster analysis classified all tested cultivars into two main groups (Vitis vinifera L. and V. x Labruscana Bailey) as expected. No polymorphism was detected among known clones of Chardonnay (Ch. clone 7, Ch. clone 78 and Ch. Geneva clone) or Pinot noir (P. n. clone 29, P. n. Geneva clone and P. n. Pernand). Pinot Meunier, Pinot gris, and Gamay Beaujolais displayed patterns indistinguishable from Pinot noir. Auxerrois and Melon showed unique patterns and may be classified as distinct cultivars. Chardonnay clone 7 shared 84 % of its bands with Pinot noir. There was more than 97 % RAPD amplicon homology between Niagara and two supposed sports, and between Concord and a red-fruited sport. Taking into account the error rate in scoring RAPD bands, the evidence is against the hypothesis that the three sports are distinct cultivars. While RAPD banding patterns could not distinguish between known clones, they were useful for distinguishing between phenotypically similar cultivars and for assessing the origins of cultivars thought to have originated as sports

AN ASSESSMENT OF PRE-PRIMARY SCHOOL PROGRAMME ACTIVITIES IN KWARA STATE, NIGERIA

In the current National Policy on Education (NPE, 2004) Pre-primary education or early childhood education has taken a centre stage as a process of educating young children in educational institutions prior to their entry into primary schools. This study thus assesses Preprimary schools programme activities across Kwara State, Nigeria. The objective is to determine the extent to which the programme on the ground has met with the stipulated policy statement as contained in the National Policy on Education. The study used a descriptive survey design and used researchers’ design questionnaire (design along likert-type) to collect its data. Using a simple random technique, the study sampled responses from 265 teachers (males and females) drawn from the three senatorial districts of Kwara State, Nigeria. It answered four (4) research questions. The findings revealed the jeopardy due to: the lack of government adherence to the objectives of the policy in respect of adequate funding, infrastructural development, material and non – material resources and standard curriculum guidelines as stipulated in the policy statement. It thus recommended that the Federal, State and Local governments should be more committed and proactive to contribute positively to the implementation and enforcement of the policy in Kwara State, Nigeria. The findings in this study would thus serve as a yardstick for success or otherwise of the policy statement as contained in the National Policy on Pre-primary education which would serve in facilitating actions toward improving Pre-primary education in Kwara State and in Nigeria in general