Development and Demonstration of a Freezing Drizzle Algorithm for Roadway Environmental Sensing Systems, Final Report, October 2012

The primary goal of this project is to demonstrate the accuracy and utility of a freezing drizzle algorithm that can be implemented on roadway environmental sensing systems (ESSs). The types of problems related to the occurrence of freezing precipitation range from simple traffic delays to major accidents that involve fatalities. Freezing drizzle can also lead to economic impacts in communities with lost work hours, vehicular damage, and downed power lines. There are means for transportation agencies to perform preventive and reactive treatments to roadways, but freezing drizzle can be difficult to forecast accurately or even detect as weather radar and surface observation networks poorly observe these conditions. The detection of freezing precipitation is problematic and requires special instrumentation and analysis. The Federal Aviation Administration (FAA) development of aircraft anti-icing and deicing technologies has led to the development of a freezing drizzle algorithm that utilizes air temperature data and a specialized sensor capable of detecting ice accretion. However, at present, roadway ESSs are not capable of reporting freezing drizzle. This study investigates the use of the methods developed for the FAA and the National Weather Service (NWS) within a roadway environment to detect the occurrence of freezing drizzle using a combination of icing detection equipment and available ESS sensors. The work performed in this study incorporated the algorithm developed initially and further modified for work with the FAA for aircraft icing. The freezing drizzle algorithm developed for the FAA was applied using data from standard roadway ESSs. The work performed in this study lays the foundation for addressing the central question of interest to winter maintenance professionals as to whether it is possible to use roadside freezing precipitation detection (e.g., icing detection) sensors to determine the occurrence of pavement icing during freezing precipitation events and the rates at which this occurs.

Séries temporais de NDVI do sensor SPOT Vegetation e algoritmo SAM aplicados ao mapeamento de cana‑de‑açúcar

O objetivo deste trabalho foi avaliar o mapeamento de área de cana‑de‑açúcar por meio de série temporal, de seis anos de dados do índice de vegetação por diferença normalizada (NDVI), oriundos do sensor Vegetation, a bordo do satélite "système pour l'observation de la Terre" (SPOT). Três classes de cobertura do solo (cana‑de‑açúcar, pasto e floresta), do Estado de São Paulo, foram selecionadas como assinaturas espectro‑temporais de referência, que serviram como membros extremos ("endmembers") para classificação com o algoritmo "spectral angle mapper" (SAM). A partir desta classificação, o mapeamento da área de cana‑de‑açúcar foi realizado com uso de limiares na imagem-regra do SAM, gerados a partir dos valores dos espectros de referência. Os resultados mostram que o algoritmo SAM pode ser aplicado a séries de dados multitemporais de resolução moderada, o que permite eficiente mapeamento de alvo agrícola em escala mesorregional. Dados oficiais de áreas de cana‑de‑açúcar, para as microrregiões paulistas, apresentam boa correlação (r² = 0,8) com os dados obtidos pelo método avaliado. A aplicação do algoritmo SAM mostrou ser útil em análises temporais. As séries temporais de NDVI do sensor SPOT Vegetation podem ser utilizadas para mapeamento da área de cana‑de‑açúcar em baixa resolução.

Observation des comportements agressifs des patients hospitalisés: entre devoir d'identification précoce de l'agressivité, risques de stigmatisation et exigencesthérapeutiques

L'absence d'une définition claire de la dangerosité et de la violence en psychiatrie, ainsi que le constat d'échec général des outils de prédiction ne doivent pas interrompre le développement du management des risques dans l'institution. Nous proposons l' utilisation d' une échelle d'observation des comportements agressifs qui s'inspire largement du modèle de l'OAS (Overt Agression Scale ) développée par Yudofsky et ses collaborateurs. Il s'agit d'améliorer la qualité de l'observation infirmière et, ce faisant, d'utiliser l'OAS comme un médium pluridisciplinaire d'une part, et comme outil de communication avec le patient concerné, d'autre part. Entre banalisation et stigmatisation, nous restons attentifs au besoin de sécurité du personnel soignant et aux risques d'exclusion des patients "dérangeants".

O USO DE UM SENSOR DE LUZ LINEAR COMO RECURSO DIDÁTICO PARA DEMONSTRAR PRINCÍPIOS DE DIFRAÇÃO E ESPECTROSCOPIA

This article presents a discussion on light diffraction by slits and grids as well as the development of an experimental apparatus which provides quantitative observation of the phenomenon. We conducted a brief historical survey on the evolution of the wave theory of light and the role of diffraction in the context of optical spectroscopy. We also reviewed the use of Huygens’ principle to calculate the intensity pattern obtained when light is diffracted by slits and compared the predictions with experimental results obtained using the apparatus developed. Finally, the use of the apparatus in an optical spectroscopy experiment was demonstrated.

Utilisation of customer contacts: customer observation

Importance of customer as a source of knowledge and finding out the customer needs have both been emphasised both in business literature and in the interviews made for this study. Especially the latent customer needs are seen important for future competitiveness. However, the methods for finding out the customer needs concentrate on the present, clearly phrased needs. There is a need for rich customer based knowledge. Customer contacts are underutilised as a source of knowledge. The objective of this study is to find a method to utilise the customer contacts as a source of knowledge more efficiently. To reach this objective, the customer observation is presented. A concrete goal is the development of a general method of customer observation and its application to the needs of the case company Fastems. Fastems hopes that the method raises the amount of ideas that come to the product and service development processes and increases their customer orientation. The method is tested in practise in the piloting stage. The testing is done in service organisations of Fastems in several countries. The observations received during the piloting phase are analysed and feedback is given to the observers. An important part of the study is to find appropriate methods for motivating the observers. The successful implementation and sustenance of the method are seen as goals of high importance. Later on, the customer observation method is implemented throughout the company. The results of the piloting are promising and the described method has roused interest among other companies as well.

Productizing professional consultancy services modularly through service blueprinting: Case QPR Software

Services are getting more complex and difficult to manage, but much less attention and resources are directed towards service development than product development both in literature and business life. The paper sheds light on how productization together with modularization and service blueprinting would help make consultancy services more manageable, scalable and efficient while retaining their customer focus. The research was qualitative and based on active research and participant observation. A theoretical framework was constructed on the basis of relevant literature and was then evaluated in two steps: first the overall framework was evaluated by mirroring it to a real life case at QPR Software. Then a service blueprint was created of a selected service, and its benefits and challenges were evaluated. The framework reflected the case company's situation well. Service blueprinting proved to be a valuable tool for facilitating discussion and knowledge sharing. The characteristics of consultancy services provide many challenges for productization. They are highly heterogeneous and people-centric whereas productization is based on standardizing the offering, the delivery processes and managing the service's tangible properties. The research indicated that by modularizing services, both customer focus and standardization can be achieved by creating variety.

Improving customer service by identifying critical success factors and utilizing business process outsourcing

Consumers increasingly demand convenience when dealing with companies and therefore it is important to provide professional, diverse and speedy service via customer’s preferred communication channel. These interactions between the customer service and customer have a critical role in customer’s future purchasing decisions. Those customers who don't receive satisfactory customer service are willing to do business with another company that charges more but offers better customer service. This study identifies the critical success factors for the customer service in order to improve the customer service according to the company’s mission and meet customer expectations. Case study is used as a research method and data is collected via observation, archival records and interviews during a time span of fourteen months. The analysis suggests three critical success factors: voice support, scalable and flexible customer service and customer service champions. The study further analyzes the improvement measures according to the critical success factors concluding the Business Process Outsourcing to be the most proper to proceed with. As a conclusion of the study, critical success factors enable achieving the goals of the customer service and align operations according to the company’s mission. Business Process Outsourcing plays important role in improving the customer service by allowing fast expansion of new service offering and obtaining specialized workforce.

Sensor communication in Smart cities and regions: An efficient IoT-based remote health monitoring system

Recent advances in Information and Communication Technology (ICT), especially those related to the Internet of Things (IoT), are facilitating smart regions. Among many services that a smart region can offer, remote health monitoring is a typical application of IoT paradigm. It offers the ability to continuously monitor and collect health-related data from a person, and transmit the data to a remote entity (for example, a healthcare service provider) for further processing and knowledge extraction. An IoT-based remote health monitoring system can be beneficial in rural areas belonging to the smart region where people have limited access to regular healthcare services. The same system can be beneficial in urban areas where hospitals can be overcrowded and where it may take substantial time to avail healthcare. However, this system may generate a large amount of data. In order to realize an efficient IoT-based remote health monitoring system, it is imperative to study the network communication needs of such a system; in particular the bandwidth requirements and the volume of generated data. The thesis studies a commercial product for remote health monitoring in Skellefteå, Sweden. Based on the results obtained via the commercial product, the thesis identified the key network-related requirements of a typical remote health monitoring system in terms of real-time event update, bandwidth requirements and data generation. Furthermore, the thesis has proposed an architecture called IReHMo - an IoT-based remote health monitoring architecture. This architecture allows users to incorporate several types of IoT devices to extend the sensing capabilities of the system. Using IReHMo, several IoT communication protocols such as HTTP, MQTT and CoAP has been evaluated and compared against each other. Results showed that CoAP is the most efficient protocol to transmit small size healthcare data to the remote servers. The combination of IReHMo and CoAP significantly reduced the required bandwidth as well as the volume of generated data (up to 56 percent) compared to the commercial product. Finally, the thesis conducted a scalability analysis, to determine the feasibility of deploying the combination of IReHMo and CoAP in large numbers in regions in north Sweden.

Creating better customer experiences: Service Design effects on customer experience

Pro gradu –tutkielman tavoitteena oli tutkia, kuinka palvelumuotoilua voidaan käyttää parempien asiakaskokemusten luomisessa. Tutkimuksen teoreettisessa osuudessa keskityttiin tutkimaan palvelumuotoilun ja asiakaskokemuksen käsitteitä. Tutkielman empiirinen osuus tehtiin laadullisena tutkimuksena, jossa vertailtiin asiakaskokemuksia kahdessa Espoon kaupungin yhteispalvelupisteessä: Leppävaarassa sijaitseva yhteispalvelupiste oli hiljattain suunniteltu uudelleen käyttäen palvelumuotoilun periaatteita; Matinkylän palvelupiste oli alkuperäisessä muodossaan tutkimuksen aikana. Tutkimuksen yhtenä tavoitteena oli myös selvittää, oliko palvelumuotoilun menetelmin tehty muotoiluprojekti Leppävaaran yhteispalvelupisteessä onnistunut, kun sitä arvioitiin asiakaskokemuksen näkökulmasta. Tutkielman aineisto kerättiin suoran havainnoinnin ja haastattelun keinoin. Yhteensä 33 yksittäistä asiakasta havannoitiin ja haastateltiin tutkimusta varten toukokuussa 2015. Vastaajat valikoituivat satunnaisesti havannointipäivien asiakkaista. Heitä havainnoitiin koko asiakaspolun ajan minkä jälkeen heitä haastateltiin. Tutkimuksen tulokset ovat kaksiosaiset. 1) Arvioitaessa asiakkaiden kokemuksia liittyen palvelutilan toimivuuteen ja aineelliseen ympäristöön todettiin, että palvelumuotoilulla saavuttettiin parempi asiakaskokemus, ja täten Leppävaaran muotoiluprojekti oli onnistunut tavoitteissaan. 2) Kun taas tuloksia tarkasteltiin asiakaspalvelutilanteiden näkökulmasta, projekti ei ollut päässyt tavoitteisiin ja palvelumuotoilun menetelmillä ei pystytty parantamaan asiakaskokemuksta. Espoon kaupungin muotoiluprojekti on vielä kesken, tulosten perusteella tutkija ehdotti jatkotoimenpiteenä muun muassa lisäkoulutusta palveluhenkilökunnalle.

Riffing on a Theme: Faculty Experiences With Service-Learning in a Food Security Research Network in Ontario

While service-learning is often said to be beneficial for all those involved—students, community members, higher education institutions, and faculty members—there are relatively few studies of the attraction to, and effect of, service-learning on faculty members. Existing studies have tended to use a survey design, and to be based in the United States. There is a lack of information on faculty experiences with service-learning in Ontario or Canada. This qualitative case study of faculty experiences with service-learning was framed through an Appreciative Inquiry social constructionist approach. The data were drawn from interviews with 18 faculty members who belong to a Food Security Research Network (FSRN) at a university in northern Ontario, reports submitted by the network, and personal observation of a selection of network-related events. This dissertation study revealed how involvement with service-learning created opportunities for faculty learning and growth. The focus on food security and a commitment to the sustainability of local food production was found to be an ongoing attraction to service-learning and a means to engage in and integrate research and teaching on matters of personal and professional importance to these faculty members. The dissertation concludes with a discussion of the FSRN’s model and the perceived value of a themed, transdisciplinary approach to service-learning. This study highlights promising practices for involving faculty in service-learning and, in keeping with an Appreciative Inquiry approach, depicts a view of faculty work at its best.

Energy-Efficient Cluster based Routing Schemes for Static and Mobile Sensor Networks

The theme of the thesis is centred around one important aspect of wireless sensor networks; the energy-efficiency.The limited energy source of the sensor nodes calls for design of energy-efficient routing protocols. The schemes for protocol design should try to minimize the number of communications among the nodes to save energy. Cluster based techniques were found energy-efficient. In this method clusters are formed and data from different nodes are collected under a cluster head belonging to each clusters and then forwarded it to the base station.Appropriate cluster head selection process and generation of desirable distribution of the clusters can reduce energy consumption of the network and prolong the network lifetime. In this work two such schemes were developed for static wireless sensor networks.In the first scheme, the energy wastage due to cluster rebuilding incorporating all the nodes were addressed. A tree based scheme is presented to alleviate this problem by rebuilding only sub clusters of the network. An analytical model of energy consumption of proposed scheme is developed and the scheme is compared with existing cluster based scheme. The simulation study proved the energy savings observed.The second scheme concentrated to build load-balanced energy efficient clusters to prolong the lifetime of the network. A voting based approach to utilise the neighbor node information in the cluster head selection process is proposed. The number of nodes joining a cluster is restricted to have equal sized optimum clusters. Multi-hop communication among the cluster heads is also introduced to reduce the energy consumption. The simulation study has shown that the scheme results in balanced clusters and the network achieves reduction in energy consumption.The main conclusion from the study was the routing scheme should pay attention on successful data delivery from node to base station in addition to the energy-efficiency. The cluster based protocols are extended from static scenario to mobile scenario by various authors. None of the proposals addresses cluster head election appropriately in view of mobility. An elegant scheme for electing cluster heads is presented to meet the challenge of handling cluster durability when all the nodes in the network are moving. The scheme has been simulated and compared with a similar approach.The proliferation of sensor networks enables users with large set of sensor information to utilise them in various applications. The sensor network programming is inherently difficult due to various reasons. There must be an elegant way to collect the data gathered by sensor networks with out worrying about the underlying structure of the network. The final work presented addresses a way to collect data from a sensor network and present it to the users in a flexible way.A service oriented architecture based application is built and data collection task is presented as a web service. This will enable composition of sensor data from different sensor networks to build interesting applications. The main objective of the thesis was to design energy-efficient routing schemes for both static as well as mobile sensor networks. A progressive approach was followed to achieve this goal.