Energy Consumption of Applications on Mobile Phones

Battery consumption in mobile applications development is a very important aspect and has to be considered by all the developers in their applications. This study will present an analysis of different relevant concepts and parameters that may have impact on energy consumption of Windows Phone applications. This operating system was chosen because there is limited research even though there are related studies for Android an iOS operating systems. Furthermore, another reason is the increasing number of Windows Phone users. The objective of this research is to categorise the energy consumption parameters (e.g. use of one thread or several thread for the same output). The result for each group of experiment will be analyzed and a rule will be derived. The set of derived rules will serve as a guide for developers who intend to develop energy efficient Windows Phone applications. For each experiment, one application is created for each concept and the results are presented in two ways: a table and a chart. The table presents the duration of the experiment, the battery consumed by the experiment, the expected battery lifetime and the energy consumption, while the charts display the energy distribution based on the main threads: UI thread, application thread and network thread.

Modelling Energy Consumption of a Switch using Fuzzy-Rule Classifier

The energy consumption of IT equipments is becoming an issue of increasing importance. In particular, network equipments such as routers and switches are major contributors to the energy consumption of internet. Therefore it is important to understand how the relationship between input parameters such as bandwidth, number of active ports, traffic-load, hibernation-mode and their impact on energy consumption of a switch. In this paper, the energy consumption of a switch is analyzed in extensive experiments. A fuzzy rule-based model of energy consumption of a switch is proposed based on the result of experiments. The model can be used to predict the energy saving when deploying new switches by controlling the parameters to achieve desired energy consumption and subsequent performance. Furthermore, the model can also be used for further researches on energy saving techniques such as energy-efficient routing protocol, dynamic link shutdown, etc.

Analysing the power consumption behaviour of Ethernet switch using Design of Experiment

At present, one of the main concerns of green network is to minimize the power consumption of network infrastructure. Surveys show that, the highest amount of power is consumed by the network devices during its runtime. However to control this power consumption it is important to know which factors has highest impact on this matter. This paper is focused on the measurement and modeling the power consumption of an Ethernet switch during its runtime considering various types of input parameters with all possible combinations. For the experiment, three input parameters are chosen. They are bandwidth, link load and number of connections. The output to be measured is the power consumption of the Ethernet switch. Due to the uncertain power consuming pattern of the Ethernet switch a fully-comprehensive experimental evaluation would require an unfeasible and cumbersome experimental phase. Because of that, design of experiment (DoE) method has been applied to obtain adequate information on the effects of each input parameters on the power consumption. The whole work consists of three parts. In the first part a test bed is planned with input parameters and the power consumption of the switch is measured. The second part is about generating a mathematical model with the help of design of experiment tools. This model can be used for measuring precise power consumption in different scenario and also pinpoint the parameters with higher influence in power consumption. And in the last part, the mathematical model is evaluated by comparing with the experimental values.

Power Consumption Measurement and Scenario Based Energy Model in Wearable Computing Applications

The power is still today an issue in wearable computing applications. The aim of the present paper is to raise awareness of the power consumption of wearable computing devices in specific scenarios to be able in the future to design energy efficient wireless sensors for context recognition in wearable computing applications. The approach is based on a hardware study. The objective of this paper is to analyze and compare the total power consumption of three representative wearable computing devices in realistic scenarios such as Display, Speaker, Camera and microphone, Transfer by Wi-Fi, Monitoring outdoor physical activity and Pedometer. A scenario based energy model is also developed. The Samsung Galaxy Nexus I9250 smartphone, the Vuzix M100 Smart Glasses and the SimValley Smartwatch AW-420.RX are the three devices representative of their form factors. The power consumption is measured using PowerTutor, an android energy profiler application with logging option and using unknown parameters so it is adjusted with the USB meter. The result shows that the screen size is the main parameter influencing the power consumption. The power consumption for an identical scenario varies depending on the wearable devices meaning that others components, parameters or processes might impact on the power consumption and further study is needed to explain these variations. This paper also shows that different inputs (touchscreen is more efficient than buttons controls) and outputs (speaker sensor is more efficient than display sensor) impact the energy consumption in different way. This paper gives recommendations to reduce the energy consumption in healthcare wearable computing application using the energy model.

Study of clarification process of sugar cane juice for consumption

Sugar cane juice or garapa darkens quickly after extraction due to the oxidation of some of its constituents harming its commercialization thus requiring rapid consumption. The objective of this study was to develop a mild process for sugar cane clarification, obtaining a cloudy, greenish-yellow beverage. The following parameters were combined to aiming at this objective: heat treatment at 65 ºC/50 minutes; pH change (to 7.0, 7.5, and 8.0); addition of flocculant (0, 30, and 60 ppm Aluminum polychloride or APC - "Panclar P-1010"), and clarifier aid (0, 2, or 4 ppm of positively charged polyelectrolyte - "Magnafloc LT-27"). The decantation time was 45 minutes and the supernatant liquid was removed with a vacuum pump. The treatments were defined using the Response Surface Methodology and were submitted to physicochemical analysis for turbidity (%), total polysaccharide content (µg.mL-1), dextran content (µg.mL-1), and sensory analysis (acceptance test) for the attributes of color, appearance, and turbidity. It was concluded that the addition of 60 ppm APC, pH 8, and 0 ppm polyelectrolyte represented the best treatment to obtain a low polysaccharide content, 90% turbidity, and high scores for color, appearance, and turbidity. The beverage was sensorially well accepted by consumers.

Effect of the daily consumption of ostrich and bovine meat on the lipid metabolism in rats

The objective of this study is to evaluate the effect of the daily consumption of ostrich meat (lliofemuralis internus) and bovine meat (Psoas major) on the lipid metabolism in adult mice. The analyses of the centesimal composition of the meats and preparation of the diets were accomplished following the recommendations of the American Institute of Nutrition-AIN-93. Three groups of 150 day-old animals: group I (diet I, with casein), group II (diet II, with ostrich meat), and group III (diet III with bovine meat) were fed for 13 weeks with the respective diets and weight gain, food efficiency coefficient, total cholesterol, lipoprotein fractions, hepatic, transaminases and body fat percentage and hepatic fat content were evaluated. No difference (p < 0.05) it was found for weight gain and coefficients for feed efficiency among the groups. Total cholesterol, HDL-cholesterol, LDL-cholesterol, relationship of total cholesterol/HDL-cholesterol, VLDL, triglycerides and hepatic transaminases were also not different among the groups (p < 0.05). This research suggests that the consumption of ostrich meat or thin bovine meat on a daily basis does not raise concerns about weight gain, and an increase in the plasma concentrations of lipoprotein and levels of hepatic transaminase.

Chemical composition of tempeh from soybean cultivars specially developed for human consumption

Tempeh is a food obtained by fermentation of soybean grains by the fungus Rizophus oligosporus. It is a traditional Indonesian food that presents benefits for human health protecting against diarrhea and chronic diseases. Tempeh processing includes dehulling, cooking, inoculation, and fermentation. In this study, chemical characteristics of tempeh prepared with soybean cultivars specially developed for human consumption (BRS 216, BRS 232, BRS 257, and BRS 267) were investigated. Soybean grains and tempeh obtained from these cultivars were analyzed for oil, protein, antinutrional factors, and isoflavone content. Cultivar BRS 216 presented the highest protein content in the grains (36.81%) and in tempeh (51.99%). On average, the protein content in tempeh increased 16% in relation to that of soybean grains. Isoflavone content was higher in the grains than in tempeh with significant differences among the cultivars. However, the aglycones content increased about 50% in tempeh (49.00 mg.100 g-1 on average) compared to that of raw material (soybean grains - 21.49 mg.100 g-1, on average). The content of Kunitz trypsin inhibitor (KSTI) reduced 83% in tempeh, on average, as compared to the value found in the grains. Phytic acid content was similar in both tempeh and the grains.

Application of exploratory factor analysis to assess fish consumption in a university community

The objective of this research was to use the technique of Exploratory Factor Analysis (EFA) for the adequacy of a tool for the assessment of fish consumption and the characteristics involved in this process. Data were collected during a campaign to encourage fish consumption in Brazil with the voluntarily participation of members of a university community. An assessment instrument consisting of multiple-choice questions and a five-point Likert scale was designed and used to measure the importance of certain attributes that influence the choice and consumption of fish. This study sample was composed of of 224 individuals, the majority were women (65.6%). With regard to the frequency of fish consumption, 37.67% of the volunteers interviewed said they consume the product two or three times a month, and 29.6% once a week. The Exploratory Factor Analysis (EFA) was used to group the variables; the extraction was made using the principal components and the rotation using the Quartimax method. The results show clusters in two main constructs, quality and consumption with Cronbach Alpha coefficients of 0.75 and 0.69, respectively, indicating good internal consistency.

Designing and validating the methodology for the Internet assessment of fish consumption at a university setting

Assessing fish consumption is complex and involves several factors; however, the use of questionnaires in surveys and the use of the Internet as tool to collect data have been considered promising approaches. Therefore, the objective of this research was to design a data collection technique using a questionnaire to assess fish consumption by making it available on a specific home page on the Internet. A bibliographical survey or review was carried out to identify the features of the instrument, and therefore pre-tests were conducted with previous instruments, followed by the Focus Group technique. Specialists then performed an analysis and conducted an online pre-test. Multivariate data analysis was applied using the SmartPLS software. The results indicate that 1.966 participants belonging to the University of São Paulo (USP) community participated in the test, and after the exclusion of some variables, a statistically significant results were obtained. The final constructs comprised consumption, quality, and general characteristics. The instrument consisted of behavioral statements in a 5-point Likert scale and multiple-choice questions. The Cronbach's alpha reliability coefficient was 0.66 for general characteristics, 0.98 for quality, and 0.91 for consumption, which indicate good reliability of the instrument. In conclusion, the results proved that the Internet assessment is efficient. The instrument of analysis allowed us to better understand the process of buying and consuming fish in the country, and it can be used as base for further research.

Impact of socio-cultural and economic factors on vegetable consumption behaviours: case of Giresun province, Turkey

Many factors impact on food consumption behaviours. The aim of the study is to determine the impact of socio-demographic and ecological factors on vegetable consumption. A 14-question questionnaire was applied on a voluntary basis to 200 individuals who accepted to participate in the study. Their socio-demographic attributes and the vegetable consumption habits of their families were determined. Their average monthly budget for vegetables is € 31.82±12.72. The two attributes of purchased vegetables with most demand are cleanliness (61.5%) and freshness (22%). The maximum price per 1 kg of vegetables, which individuals with an income of € 301-450 can afford, is € 0.96, but for individuals with an income of > € 450, it is € 1.25. It was observed that the amount of purchased vegetables increased with the increase in the budget allocated for vegetables.

Fish consumption preferences and factors influencing it

Fish consumption preferences are affected by individuals’ socioeconomic characteristics. The aims of the present paper were (i) to obtain information on fish consumption level and frequency; (ii) to investigate the associations between the socioeconomic characteristics of consumers and their preferences; and (iii) to examine the influence of determinants on fish consumption. Data were gathered through a questionnaire completed by a total of 127 randomly selected individuals from different socioeconomic backgrounds from the Antakya, Turkey. The average consumption was found to be 2.98 kg/person/year for fish. Anchovies, gilt-head sea bream, and sea bass were reported as the most consumed three species, respectively. Significant differences in fish consumption were found among age groups, gender groups, and education groups, as well as between marital statuses. A majority of the consumers eat fish once a month throughout the year or only during the winter months. Fish consumption level and frequency were significantly positively correlated with education (p<0.01), income (p<0.05) and total meat consumption (p<0.01). The stepwise multiple regression model explained 41.7% (p<0.01) of the total variance for fish consumption. The amount and frequency of the consumption in the region, which is very far below the world and Turkey average especially for lower socioeconomic groups and for less-consumed fish species, can be increased by certain policies, such as training, advertising and different marketing strategies. Moreover, consumption should be distributed equally throughout the year instead of consuming only in certain seasons.

Food access and consumption in a rural settlement in Castanhal, PA, Brazil

Abstract The study aimed to assess the food accessibility and consumption among families in the Cupiúba rural settlement, in the city of Castanhal, Pará, Brazil. It was found that the access to food is worrying and indicated that most families are in food insecurity conditions. Moreover, income and food safety level were associated. The consumption of the settler families comprises mainly high-energy, low-nutrient content foods, characterized by the low intake of fruits and vegetables and the introduction of processed foods with high energy density and sugar-added beverages, although the traditional dietary habits (rice and beans) are still present. This configures a diet at risk for important nutritional deficits, obesity, and many non-communicable chronic diseases.

Lämminvesivaraajan ohjaus automaatiolla aurinkosähköä tuottavassa kotitaloudessa

Hajautettu sähköntuotanto aurinkopaneeleilla on Suomessa kasvussa. Kotitalouksiin asennettujen aurinkopaneelijärjestelmien määrä kasvaa jatkuvasti, mutta suuri osa tuotetusta sähköenergiasta syötetään sähköverkkoon. Tämä johtuu aurinkosähkön tuotannon painottumisesta kesäpäiviin, jolloin kotitalouksien kulutus on pienimmillään. Suurin hyöty itse tuotetusta energiasta saadaan kuitenkin käyttämällä se tuotantokohteessa, jolla minimoidaan energiansiirto sähköverkon ja kotitalouden rajapinnassa. Siirtämällä kotitalouden suurimpia kuormia aurinkosähkön mukaan ohjatuksi, voidaan saavuttaa merkittäviä parannuksia tuotetun sähkön omakäyttöasteessa. Helpoimmillaan tämä onnistuu kellokytkimellä, joka ajoittaa kulutuksen parhaimman tuotannon ajalle. Tämä ei kuitenkaan poista ongelmaa tilanteissa, jossa aurinkosähkön tuotanto on häiriintynyt esimerkiksi pilvisyyden takia aamupäivällä ja huipputuotanto saavutetaan vasta iltapäivän puolella. Saatavilla on jo useita järjestelmiä, jotka ohjaavat kodin laitteita tuotannon mukaisesti. Suuri osa näistä järjestelmistä on kuitenkin suunniteltu toimimaan vain tuotetun energiamäärän mukaisesti, ottamatta huomioon kotitaloudessa olevaa muuta, automaation piiriin kuulumatonta kulutusta. Tässä kandidaatin työssä vertaillaan sähköenergian eri mittaustapoja ja niiden vaikutusta siirretyn energian laskennalliseen määrään. Lisäksi työssä tutkitaan lämminvesivaraajan kuormanohjausta käyttäen termostaatti-, kellokytkin- ja logiikkaohjausta. Työssä esitelty logiikkaohjaus hyödyntää siirretyn energian mittausta sähköverkon ja kotitalouden rajapinnassa, ottaen automaattisesti huomioon myös talouden muun kulutuksen. Työssä esitellään myös esimerkkilaitteisto, jolla suunniteltu logiikka voidaan toteuttaa.