Impact of primary networks on the performance of energy harvesting cognitive radio networks

In this paper, we investigate the effect of of the primary network on the secondary network when harvesting energy in cognitive radio in the presence of multiple power beacons and multiple secondary transmitters. In particular, the influence of the primary transmitter's transmit power on the energy harvesting secondary network is examined by studying two scenarios of primary transmitter's location, i.e., the primary transmitter's location is near to the secondary network and the primary transmitter's location is far from the secondary network. In the scenario where the primary transmitter locates near to the secondary network, although secondary transmitter can be benefit from the harvested energy from the primary transmitter, the interference caused by the primary transmitter suppresses the secondary network performance. Meanwhile, in both scenarios, despite the fact that the transmit power of the secondary transmitter can be improved by the support of powerful power beacons, the peak interference constraint at the primary receiver limits this advantage. In addition, the deployment of multiple power beacons and multiple secondary transmitters can improve the performance of the secondary network. The analytical expressions of the outage probability of the secondary network in the two scenarios are also provided and verified by numerical simulations.

From data to applications in the Internet of Things

Con la crescita in complessità delle infrastrutture IT e la pervasività degli scenari di Internet of Things (IoT) emerge il bisogno di nuovi modelli computazionali basati su entità autonome capaci di portare a termine obiettivi di alto livello interagendo tra loro grazie al supporto di infrastrutture come il Fog Computing, per la vicinanza alle sorgenti dei dati, e del Cloud Computing per offrire servizi analitici complessi di back-end in grado di fornire risultati per milioni di utenti. Questi nuovi scenarii portano a ripensare il modo in cui il software viene progettato e sviluppato in una prospettiva agile. Le attività dei team di sviluppatori (Dev) dovrebbero essere strettamente legate alle attività dei team che supportano il Cloud (Ops) secondo nuove metodologie oggi note come DevOps. Tuttavia, data la mancanza di astrazioni adeguata a livello di linguaggio di programmazione, gli sviluppatori IoT sono spesso indotti a seguire approcci di sviluppo bottom-up che spesso risulta non adeguato ad affrontare la compessità delle applicazione del settore e l'eterogeneità dei compomenti software che le formano. Poichè le applicazioni monolitiche del passato appaiono difficilmente scalabili e gestibili in un ambiente Cloud con molteplici utenti, molti ritengono necessaria l'adozione di un nuovo stile architetturale, in cui un'applicazione dovrebbe essere vista come una composizione di micro-servizi, ciascuno dedicato a uno specifica funzionalità applicativa e ciascuno sotto la responsabilità di un piccolo team di sviluppatori, dall'analisi del problema al deployment e al management. Poichè al momento non si è ancora giunti a una definizione univoca e condivisa dei microservices e di altri concetti che emergono da IoT e dal Cloud, nè tantomento alla definzione di linguaggi sepcializzati per questo settore, la definzione di metamodelli custom associati alla produzione automatica del software di raccordo con le infrastrutture potrebbe aiutare un team di sviluppo ad elevare il livello di astrazione, incapsulando in una software factory aziendale i dettagli implementativi. Grazie a sistemi di produzione del sofware basati sul Model Driven Software Development (MDSD), l'approccio top-down attualmente carente può essere recuperato, permettendo di focalizzare l'attenzione sulla business logic delle applicazioni. Nella tesi viene mostrato un esempio di questo possibile approccio, partendo dall'idea che un'applicazione IoT sia in primo luogo un sistema software distribuito in cui l'interazione tra componenti attivi (modellati come attori) gioca un ruolo fondamentale.

Effekter av Internet of Things : Scenariobaserad studie som beskriver inledande effekter av Internet of Things i en verksamhet

Med begreppet "Internet of Things" menas att ett objekt ur den riktiga världen blir en del av internet. Tunabyggen i Borlänge planerar att implementera ett sådant informationssystem som med hjälp av sensorer och en ständig internetuppkoppling håller uppsikt över temperatur och luftfuktighet i utvalda lokaler. Det är ett enkelt system som till synes inte har så stora effekter på den nuvarande verksamheten. De ekonomiska effekterna går ofta att räkna på i förhand men effekterna på personal, miljö och rutiner kan glömmas bort. Vi har därför med detta examensarbete undersökt vilka inledande effekter som kan tänkas uppkomma efter implementering av ett nytt informationssystem med "Internet of Things" funktionalitet i en verksamhet. Detta sker inom kategorierna ekonomi, arbetsmiljö, miljöpåverkan och systemförvaltning. För att kunna besvara detta har vi gjort en fallstudie baserad på en scenariometodik som består av fyra faser. Fas 1, där vi fick vårt Case och skapade en förståelse för scenariofältet. Fas 2, där vi identifierade nyckelfaktorer. Detta har gjorts genom en litteraturstudie samt intervju med berörd personal på Tunabyggen. Fas 3, där analysen av dessa nyckelfaktorer skedde genom nulägesanalys och framtidsanalys av nyckelfaktorer. Fas 4, där vi genererade scenarier av de analyserade nyckelfaktorerna. Det har sedan gjorts en SWOT-analys för att belysa styrkor, svagheter, möjligheter och hot. Resultatet visar tydliga tecken på att det kommer att bli många effekter för Tunabyggen efter implementering av det nya informationssystemet som yttrar sig i alla kategorier. Slutsatsen är att vid implementation av ett informationssystem som detta är effekterna många. Detta är något som vi anser bör beaktas av alla verksamheter som har tankar på att införskaffa ett nytt informationssystem. De bör inte bara utvärdera informationssystem rent ekonomiskt utan borde ta i beaktning att det finns ett antal andra faktorer som har en avgörande roll om implementation av informationssystem ska bli lyckad.

From F energy rating to Nearly ZEB: project of energy retrofit and architectural upgrade of a brick terraced house in Co. Dublin, Ireland

Questo progetto è stato sviluppato durante un periodo di ricerca presso il Dipartimento di Ingegneria Civile del Trinity College e continuato presso l’Università di Bologna. Il progetto ha l’obiettivo di analizzare le soluzioni per l’ampliamento, la sostituzione degli impianti e l’ottimizzazione energetica di un tipico edificio residenziale Irlandese, una end of terrace in mattoni costruita negli anni ’20, collocata a Blackrock (Dublino). Diversi studi sostengono che lo stock abitativo irlandese è il peggiore del nord Europa per quanto riguarda la performance energetica. Questa tesi consta di una prima parte di studio del contesto e delle tecniche costruttive tradizionali irlandesi; è presente un capitolo di approfondimento sulle leggi riguardanti le costruzioni e gli incentivi forniti dal governo irlandese per interventi di retrofit energetico. Il terzo capitolo è un’analisi dell'esistente, con disegni del rilievo geometrico, immagini dell’edificio originale, termogrammi e dati riguardanti l’attuale performance energetica. Vengono poi mostrate diverse ipotesi di progetto e, una volta determinata la disposizione degli spazi interni, vengono considerate due soluzioni simili, ma costruite con pacchetti costruttivi diversi. Nel Progetto A l’involucro dell’addizione ha una struttura in muratura, nel Progetto B la struttura è in X-lam. Le performance energetiche delle due proposte vengono confrontate tramite una simulazione attuata grazie all'utilizzo del software dinamico IES-VE. Viene valutata l’applicazione di energie rinnovabili, quali l’energia solare e eolica e l’apporto che queste possono dare al bilancio energetico. Infine viene fatta un’analisi dei costi, valutando possibili suddivisioni dei lavori e ipotizzando un piano di ritorno dell’investimento, anche in combinazione con l’applicazione di energie rinnovabili. Alla fine del progetto si trova una valutazione quantitativa dei miglioramenti dell’edificio e un’analisi critica dei limiti del progetto.

Survery and simulation of energy use in the European building stock

the work towards increased energy efficiency. In order to plan and perform effective energy renovation of the buildings, it is necessary to have adequate information on the current status of the buildings in terms of architectural features and energy needs. Unfortunately, the official statistics do not include all of the needed information for the whole building stock.   This paper aims to fill the gaps in the statistics by gathering data from studies, projects and national energy agencies, and by calibrating TRNSYS models against the existing data to complete missing energy demand data, for countries with similar climate, through simulation. The survey was limited to residential and office buildings in the EU member states (before July 2013). This work was carried out as part of the EU FP7 project iNSPiRe.   The building stock survey revealed over 70% of the residential and office floor area is concentrated in the six most populated countries. The total energy consumption in the residential sector is 14 times that of the office sector. In the residential sector, single family houses represent 60% of the heated floor area, albeit with different share in the different countries, indicating that retrofit solutions cannot be focused only on multi-family houses.   The simulation results indicate that residential buildings in central and southern European countries are not always heated to 20 °C, but are kept at a lower temperature during at least part of the day. Improving the energy performance of these houses through renovation could allow the occupants to increase the room temperature and improve their thermal comfort, even though the potential for energy savings would then be reduced.

Power control in cognitive radios, Internet-of Things (IoT) for factories and industrial automation

Cognitive radio (CR) is fast emerging as a promising technology that can meet the machine-to machine (M2M) communication requirements for spectrum utilization and power control for large number of machines/devices expected to be connected to the Internet-of Things (IoT). Power control in CR as a secondary user can been modelled as a non-cooperative game cost function to quantify and reduce its effects of interference while occupying the same spectrum as primary user without adversely affecting the required quality of service (QoS) in the network. In this paper a power loss exponent that factors in diverse operating environments for IoT is employed in the non-cooperative game cost function to quantify the required power of transmission in the network. The approach would enable various CRs to transmit with lesser power thereby saving battery consumption or increasing the number of secondary users thereby optimizing the network resources efficiently.

Understanding the gender dimensions of adopting climate-smart smallholder aquaculture innovations

This study explored how climate-smart agricultural and aquaculture innovations may lead to more successful climate adaptation efforts and enhanced resilience for both men and women in households and across communities, as well as to improved and equitable outcomes in terms of income, nutrition and livelihood opportunities. Specifically, it investigated efforts to target women with household aquaculture innovations to understand (1) if such approaches enable women to use or benefit from them; (2) if and how usage impacts the sustained use of these innovations; and (3) if it would be possible to scale out these innovations to achieve large scale development outcomes.

Oceans of energy? The non-linear trajectory of the emerging wave energy technology

This paper addresses the construction and structuring of a technological niche – i.e. a protected space where promising but still underperforming technologies are stabilized and articulated with societal needs – and discusses the processes that influence niche development and may enable niche breakout. In theoretical terms the paper is grounded on the multi-level approach to sustainability transitions, and particularly on the niche literature. But it also attempts to address the limitations of this literature in what concerns the spatial dimension of niche development. It is argued that technological niches can transcend the narrow territorial boundaries to which they are often confined, and encompass communities and actions that span several spatial levels, without losing some territorial embeddedness. It is further proposed that these features shape the niche trajectory and, therefore, need to be explicitly considered by the niche theoretical framework. To address this problem the paper builds on and extends the socio-cognitive perspective to technology development, introducing a further dimension – space – which broadens the concept of technological niche and permits to better capture the complexity of niche behaviour. This extended framework is applied to the case of an emerging renewable energy technology – wave energy - which exhibits a particularly slow and non-linear development trajectory. The empirical analysis starts by examining how an “overall niche space” in wave energy was spatially constructed over time. Then it investigates in greater detail the niche development processes that took place in Portugal, a country that was among the pioneers in the field, and whose actors have been, from very early stages, engaged in the activities conducted at various spatial levels. Through this combined analysis, the paper seeks to understand whether and how niche development is shaped by processes taking place at different spatial levels. More specifically it investigates the interplay between territorial and relational elements in niche development, and how these different dynamics influence the performance of the niche processes and impact on the overall niche trajectory. The results confirm the niche multi-spatial dynamics, showing that it is shaped by the interplay between a niche relational space constructed by actors’ actions and interactions on/across levels, and the territorial effects introduced by these actors’ embeddedness in particular geographical and institutional settings. They contribute to a more precise understanding of the processes that can accelerate or slow down the trajectory of a technological niche. In addition, the results shed some light into the niche activities conducted in/originating from a specific territorial setting - Portugal - offering some insights into the behaviour of key actors and its implications for the positioning of the country in the emerging field, which can be relevant for the formulation of strategies and policies for this area.

Urban Retrofit and Resilience: The challenge of Energy Efficiency and Vulnerability

Urban retrofit is becoming increasingly established as one of the most effective solutions to contain the energy consumption of the existing building stock, to reduce vulnerability to natural and man-made risk and generally improve the quality of built space. However, the planning of retrofit interventions at urban scale should take account of the actual feasibility of measures lest they remain only on paper. This contribution supplies an overview of the many issues related to the subject of urban regeneration, proposing a procedure to identify practical interventions to minimize costs and maximize benefits, in terms of energy efficiency, an increase in resilience and improvement in the quality of the building stock. This procedure was applied to a case study of a neighborhood in the city of Naples, a high-density urban area which is particularly vulnerable to volcanic and seismic risk, and to risks due to climate change.

In vivo and in vitro disappearance of energy and nutrients in novel carbohydrates and cereal grains by pigs

In vivo and in vitro experiments were conducted to determine digestibility of GE and nutrients, as well as DE and ME of carbohydrates fed to growing pigs. The objective of Exp. 1 was to determine the DE and ME of 4 novel carbohydrates fed to pigs. The 4 novel carbohydrates were 2 sources of resistant starch (RS 60 and RS 70), soluble corn fiber (SCF), and pullulan. These carbohydrates were produced to increase total dietary fiber (TDF) intake by humans. Maltodextrin (MD) was used as a highly digestible control carbohydrate. The DE and ME for RS 60 (1,779 and 1,903 kcal/kg, respectively), RS 75(1,784 and 1,677 kcal/kg, respectively), and SCF (1,936 and 1,712 kcal/kg, respectively) were less (P < 0.05) than for MD (3,465 and 3,344 kcal/kg, respectively) and pullulan (2,755 and 2,766 kcal/kg, respectively), and pullulan contained less (P < 0.05) DE and ME than MD. However, there was no difference in the DE and ME for RS 60, RS 75, and SCF. The varying degrees of small intestinal digestibility and differences in fermentability among these novel carbohydrates may explain the differences in the DE and ME among carbohydrates. Therefore, the objectives of Exp. 2 were to determine the effect of these 4 novel carbohydrates and cellulose on apparent ileal (AID) and apparent total tract (ATTD) disappearance, and hindgut disappearance (HGD) of GE, TDF, and nutrients when added to diets fed to ileal-cannulated pigs. The second objective was to measure the endogenous flow of TDF to be able to calculate the standardized ileal disappearance (SID) and standardized total tract (STTD) disappearance of TDF in the 4 novel fibers fed to pigs. Results of the experiment indicated that the AID of GE and DM in diets containing cellulose or the novel fibers was less (P < 0.05) than of the maltodextrin diet, but the ATTD of GE and DM was not different among diets. The addition of RS 60, RS 75, and SCF did not affect the AID of acid hydrolysed ether extract (AEE), CP, or ash, but the addition of cellulose and pullulan reduced (P < 0.01) the AID of CP. The average ileal and total tract endogenous losses of TDF were calculated to be 25.25 and 42.87 g/kg DMI, respectively. The SID of TDF in diets containing RS 60, SCF, and pullulan were greater (P < 0.01) than the SID of TDF in the cellulose diet, but the STTD of the SCF diet was greater (P < 0.05) than for the cellulose and pullulan diets. Results of this experiment indicate that the presence of TDF reduces small intestinal disappearance of total carbohydrates and energy which may reduce the DE and ME of diets and ingredients. Therefore, the objective of Exp. 3 was to determine the DE and ME in yellow dent corn, Nutridense corn, dehulled barley, dehulled oats, polished rice, rye, sorghum, and wheat fed to growing pigs and to determine the AID and ATTD of GE, OM, CP, AEE, starch, total carbohydrates, and TDF in these cereal grains fed to pigs. Results indicated that the AID of GE, OM, and total carbohydrates was greater (P < 0.001) in rice than in all other cereal grains. The AID of starch was also greater (P < 0.001) in rice than in yellow dent corn, dehulled barley, rye, and wheat. The ATTD of GE was greater (P < 0.001) in rice than in yellow dent corn, rye, sorghum, and wheat. With a few exceptions, the AID and ATTD of GE and nutrients in Nutridense corn was not different from the values for dehulled oats. Likewise, with a few exceptions, the AID, ATTD, and HGD of GE, OM, total carbohydrates, and TDF in yellow corn, sorghum, and wheat were not different from each other. The AID of GE and AEE in dehulled barley was greater (P < 0.001) than in rye. The ATTD of GE and most nutrients was greater (P < 0.001) in dehulled barley than in rye. Dehulled oats had the greatest (P < 0.001) ME (kcal/kg DM) whereas rye had the least ME (kcal/kg DM) among the cereal grains. Results of the experiment indicate that the presence of TDF and RS may reduce small intestinal digestibility of starch in cereal grains resulting in reduced DE and ME in these grains. Digestibility experiments involving animals are time consuming and expensive. Therefore, the objective of Exp. 4 was to correlate DM and OM digestibility obtained from 3 in vitro procedures with ATTD of GE and with the concentration of DE in 50 corn samples that were fed to growing pigs. The second objective was to develop a regression model that can predict the ATTD of GE or the concentration of DE in corn. The third objective was to evaluate the suitability of using the DaisyII incubator as an alternative to the traditional water bath when determining in vitro DM and OM digestibility. Results indicated that corn samples incubated with Viscozyme for 48 h in the DaisyII incubator improved (P < 0.001) the ability of the procedure to detect small differences in the ATTD of GE or to detect small differences in the concentration of DE in corn. Likewise, compared with using cellulase or fecal inoculum, the variability in the ATTD of GE and the variability in the DE in corn was better (R2 = 0.56; P < 0.05 and R2 = 0.53; P < 0.06, respectively) explained if Viscozyme was used than if cellulase or fecal inoculum was used. A validated regression model that predicted the DE in corn was developed using Viscozyme and with the corn samples incubated in the DaisyII incubator for a 48 h. In conclusion, this present work used the pig as a model for human gastrointestinal function and evaluates carbohydrates from 2 different nutritional perspectives – humans and animals. The addition of novel carbohydrates reduced the digestibility of energy in the diets without necessarily reducing the digestibility of other nutrients. Thus, supplementation of novel carbohydrates in the diets may be beneficial for the management of diabetes. Aside from diabetic management, cereal grains such as rye and sorghum, may also help in BW management because of there low caloric value, but for undernourished individuals, dehulled oats, dehulled barley, and rice are the ideal grains. From an animal nutrition standpoint, high concentration of dietary fiber is undesirable because it reduces feed efficiency. Therefore, the inclusion of feed ingredients that have a high concentration of dietary fiber is often limited in animal diets. Although in vivo determination is ideal, in vitro procedures are useful tools to determine caloric value of food and feed ingredients.

OBSERVATIONS AND EMISSIONS OF ENERGY-ASSOCIATED OZONE PRECURSORS IN THE MID-ATLANTIC UNITED STATES

Surface ozone is formed in the presence of NOx (NO + NO2) and volatile organic compounds (VOCs) and is hazardous to human health. A better understanding of these precursors is needed for developing effective policies to improve air quality. To evaluate the year-to-year changes in source contributions to total VOCs, Positive Matrix Factorization (PMF) was used to perform source apportionment using available hourly observations from June through August at a Photochemical Assessment Monitoring Station (PAMS) in Essex, MD for each year from 2007-2015. Results suggest that while gasoline and vehicle exhaust emissions have fallen, the contribution of natural gas sources to total VOCs has risen. To investigate this increasing natural gas influence, ethane measurements from PAMS sites in Essex, MD and Washington, D.C. were examined. Following a period of decline, daytime ethane concentrations have increased significantly after 2009. This trend appears to be linked with the rapid shale gas production in upwind, neighboring states, especially Pennsylvania and West Virginia. Back-trajectory analyses similarly show that ethane concentrations at these monitors were significantly greater if air parcels had passed through counties containing a high density of unconventional natural gas wells. In addition to VOC emissions, the compressors and engines involved with hydraulic fracturing operations also emit NOx and particulate matter (PM). The Community Multi-scale Air Quality (CMAQ) Model was used to simulate air quality for the Eastern U.S. in 2020, including emissions from shale gas operations in the Appalachian Basin. Predicted concentrations of ozone and PM show the largest decreases when these natural gas resources are hypothetically used to convert coal-fired power plants, despite the increased emissions from hydraulic fracturing operations expanded into all possible shale regions in the Appalachian Basin. While not as clean as burning natural gas, emissions of NOx from coal-fired power plants can be reduced by utilizing post-combustion controls. However, even though capital investment has already been made, these controls are not always operated at optimal rates. CMAQ simulations for the Eastern U.S. in 2018 show ozone concentrations decrease by ~5 ppb when controls on coal-fired power plants limit NOx emissions to historically best rates.

Detección de rutinas : internet of people. Prueba de concepto

El principal objetivo de Internet of Things (IoT) es integrar las tecnologías informáticas en el quehacer cotidiano de las personas, facilitando su interacción con un entorno de dispositivos interconectados, pero el estado actual del arte hace que dicha interacción esté aún lejos de resultar trivial, precisando de continua intervención del usuario. Como alternativa a esta situación, iniciativas emergentes como la de Internet of People (IoP) pretenden integrar de forma más efectiva el IoT en la vida de las personas. En línea con este propósito, el modelo People as a Service (PeaaS) facilita estas tareas por medio del uso del teléfono móvil como interfaz del usuario con el IoT y haciendo uso del contexto del usuario del mismo. PeaaS permite elaborar un perfil sociológico del usuario, que puede ser explotado por el mismo y servido a terceros de forma segura y controlada. En este trabajo presentamos una aplicación móvil para la supervisión de personas afectadas de alzhéimer mediante el aprendizaje y monitorización de sus rutinas como prueba de concepto del modelo PeaaS, teniendo como resultado una funcionalidad que va mucho más allá de la ofrecida por otros productos similares en este campo, y una tecnología que es base para infinidad de aplicaciones que provoquen el avance hacia IoP.

PycoTCP: Una libreria Python per l'Internet of Threads

Grazie all'evoluzione dei servizi di rete indirizzare le interfacce di rete come se fossero i veri destinatari delle comunicazioni è diventato obsoleto. Per questo è nato il concetto di Internet of Threads, in cui gli indirizzi IP sono assegnati ad ogni processo in esecuzione nel computer mediante una rete ethernet virtuale. Attualmente esistono progetti che forniscono la gestione della rete virtuale e librerie che forniscono lo stack TCP/IP da integrare all'interno dei propri programmi. Queste librerie richiedono però la modifica e ricompilazione del proprio codice, anche a causa della loro interfaccia differente dai Berkeley Socket. Attraverso PycoTCP è possibile sperimentare all'interno di un ambiente IoTh senza riscrivere il proprio codice. Inoltre unifica le API fornite dalle librerie sottostanti esponendo una interfaccia identica a quella standard del Python, in modo che non sia necessario imparare un altro metodo di programmazione per utilizzare il nuovo paradigma.

Routex: un Router Multitecnologia per Internet of Things

L'Internet of Things (IoT) è oggetto di grande interesse per la ricerca e per l'industria. Le numerose tecnologie che sono state sviluppate rendono possibile la creazione di nuovi e utili servizi, ma introducono problemi legati alla reciproca incompatibilità. Nell'elaborato si analizza nel dettaglio questa situazione e si descrive l'implementazione di un sistema che ha come obiettivo la realizzazione di una rete composta da dispositivi che fanno uso di tecnologie differenti. Il progetto usa un Raspberry Pi come router, il cui scopo è quello di gestire le differenze fra gli standard di comunicazione utilizzati. Le tecnologie wireless supportate sono: WiFi, Bluetooth, ZigBee, nRF24L01 e moduli radio 433MHz. Sulla rete cosi formata è inoltre possibile lo sviluppo di applicazioni IoT, grazie alle logiche di funzionamento messe a disposizione dal sistema.