scholarly journals Perancangan Jaringan Sensor Terdistribusi untuk Pengaturan Suhu, Kelembaban dan Intensitas Cahaya

2013 ◽  
Vol 1 (2) ◽  
pp. 42 ◽  
Author(s):  
Bimo Ananto Pamungkas ◽  
Adian Fatchur Rochim ◽  
Eko Didik Widianto
Keyword(s):  
Light Intensity ◽  
Automatic Monitoring ◽  
Environmental Data ◽  
Communication Tool ◽  
Air Humidity ◽  
Process Data ◽  
Distributed Sensor ◽  
Sensor Actuator ◽  
Control Interface ◽  
Sensor System Design

This paper contains distributed sensor system design for temperature, air humidity, and light intensity monitoring in greenhouse based Arduino Uno board. System contains 2 sensor-actuator nodes, and 1 controller node connected to Ethernet network through Ethernet Shield board. Sensor-actuator node with DHT 11 sensor works for taking environment informations such as temperature, air humidity, and light intensity, runs actuation in the form of emulating LED lights; and communicates with controller node which will process data using serial wire as a communication tool between nodes. Monitoring datas and user control interface is provided by controller node which can be accessed online in web browser. The system ability for monitoring environment in greenhouse and online access of environmental data generates controllable and automatic monitoring and management of plants.

scholarly journals A Non-Intrusive Approach for Indoor Occupancy Detection in Smart Environments

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3953 ◽  
Author(s):  
Bruno Abade ◽  
David Perez Abreu ◽  
Marilia Curado
Keyword(s):  
Machine Learning ◽  
Environmental Data ◽  
Machine Learning Techniques ◽  
Smart Environments ◽  
Prototype System ◽  
Indoor Environments ◽  
Process Data ◽  
Indoor Space ◽  
Occupancy Detection ◽  
Real Scenario

Smart Environments try to adapt their conditions focusing on the detection, localisation, and identification of people to improve their comfort. It is common to use different sensors, actuators, and analytic techniques in this kind of environments to process data from the surroundings and actuate accordingly. In this research, a solution to improve the user’s experience in Smart Environments based on information obtained from indoor areas, following a non-intrusive approach, is proposed. We used Machine Learning techniques to determine occupants and estimate the number of persons in a specific indoor space. The solution proposed was tested in a real scenario using a prototype system, integrated by nodes and sensors, specifically designed and developed to gather the environmental data of interest. The results obtained demonstrate that with the developed system it is possible to obtain, process, and store environmental information. Additionally, the analysis performed over the gathered data using Machine Learning and pattern recognition mechanisms shows that it is possible to determine the occupancy of indoor environments.

Effect of Climate Change on Agricultural Production

2022 ◽  
pp. 99-114
Author(s):  
Helena Esteves Correia ◽  
Daniela de Vasconcelos Teixeira Agu Costa
Keyword(s):  
Climate Change ◽  
Environmental Factors ◽  
Light Intensity ◽  
Soil Water ◽  
Agricultural Production ◽  
Co2 Concentration ◽  
Atmospheric Co2 ◽  
Air Humidity ◽  
Ozone Level ◽  
Average Temperature

Agricultural production is influenced by environmental factors such as temperature, air humidity, soil water, light intensity, and CO2 concentration. However, climate change has influenced the values of average temperature, precipitation, global atmospheric CO2 concentration, or ozone level. Thus, climate change could lead to different situations on plants and consequently influence agricultural production. With this chapter, the authors intend to research how climate change influences some plant metabolisms (such as photosynthesis, photorespiration, transpiration, among others) and therefore agricultural production.

504 Late-Breaking: Automatic Monitoring Systems to Detect Behavioral and Productive Variations during Heat Stress in Dairy Cows

2021 ◽  
Vol 99 (Supplement_3) ◽  
pp. 180-181
Author(s):  
Ludovica Mammi ◽  
Damiano Cavallini ◽  
Alberto Palmonari ◽  
Alessandro Concolino ◽  
Francesca Ghiaccio ◽  
...  
Keyword(s):  
Heat Stress ◽  
Dairy Cows ◽  
Milk Production ◽  
Repeated Measures ◽  
Mixed Model ◽  
Random Effect ◽  
Automatic Monitoring ◽  
Environmental Data ◽  
Monitoring Systems ◽  
Different Seasons

Abstract Aim of the project was to evaluate behavioral and productive variations of dairy cows detected by automatic monitoring systems, during different seasons. Environmental data (Temperature (T, °C), Relative Humidity, (RH, %) and Temperature and Humidity Index (THI)), were recorded inside the pens by electronic probes during 4 periods over 2 years, for a total of 473 days. Fans and sprinklers were activated at THI >60. Hundred lactating and dry cows were equipped with monitoring tag (Heatime-Pro, SCR Engineers Ltd.) that recorded continuously time (min/d) spent ruminating (RT), panting (PT) and feeding (FT). Daily PT and FT data were recorded as group average [lactating (LC) or dry], while RT and milk production were extracted as individual data. Four classes of environmental stress were identified based on maximum THI: comfort (C, THI < 60, 101d), moderate stress (MS, 60< THI >69, 92d), stress (S, 70< THI >75, 102d), severe stress (SS, THI >75, 178d). Behavioral and productive data were compared between classes. Data were analyzed by mixed model with repeated measures, with environmental class, group (dry or lactating), parity and interactions as fixed effect. Cow was included as random effect for RT and milk production. Means comparison was performed by Tukey post hoc test. All behavioral outcomes were influenced by heat stress (P < .001, table 1). Panting increased linearly with maximum THI recorded, being highest during SS days in LC (49.6 min/d, P < .001). FT and RT (min/d) were lowest (P < .001) during S days (206.9, FT and 473.1, RT) and RT reached the lowest values in cows within 15 DIM (456.4). Milk production was affected in multiparous cows, with a linear reduction from C to SS days (P < .001). Heat stress deeply affected cows behavior and performances, despite cooling systems. Automatic monitoring of these parameters can effectively help in detecting heat stress and consequently adopt strategies to improve animal welfare.

Depth Analysis of ZigBee Protocol on Wireless Sensor-Actuator Network

2014 ◽  
Vol 666 ◽  
pp. 305-311
Author(s):  
Tao Tao ◽  
Zhong Hua Tong ◽  
Xiao Zheng ◽  
Xuan Gou Wu ◽  
Lin Na Wei
Keyword(s):  
Network Architecture ◽  
Data Transfer ◽  
Wireless Networking ◽  
Wireless Sensor ◽  
Protocol Stack ◽  
Process Data ◽  
Sensor Actuator ◽  
Depth Analysis ◽  
Zigbee Protocol ◽  
Network Process

With the development of information technology, research and application of wireless sensor-actuator network is more and more widely. In this paper, the composition of wireless sensor-actuator network is described, the ZigBee protocol which is a wireless networking protocol is analyzed from multiple aspects in the network. Network architecture, protocol stack hierarchy, building network process, data transfer process, task approach based on ZigBee protocol are studied.

Salt tolerance of potato (Solanum tuberosum L. var. Desirée) plants depends on light intensity and air humidity

Plant Science ◽  
2005 ◽  
Vol 169 (1) ◽  
pp. 229-237 ◽  
Author(s):  
Jan E. Backhausen ◽  
Michael Klein ◽  
Michael Klocke ◽  
Sabrina Jung ◽  
Renate Scheibe
Keyword(s):  
Solanum Tuberosum ◽  
Salt Tolerance ◽  
Light Intensity ◽  
Solanum Tuberosum L ◽  
Air Humidity

scholarly journals BUSINESS MODEL FRAMEWORK FOR USING REAL-TIME PROCESS DATA FOR DESIGN DECISION MAKING

2011 ◽  
Author(s):  
Matty Janssen ◽  
Paul Stuart
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Business Model ◽  
Environmental Data ◽  
Design Decision ◽  
Time Process ◽  
Time Data ◽  
Process Data ◽  
Model Framework ◽  
Business Decision

In recent years real-time data management systems have become commonplace at pulp and paper mills, and mills seek to use this important resource for improved operation of production facilities as well as for business decision-making. This paper presents a comprehensive and holistic approach to business modeling in which real-time process data, cost data, and environmental data are used in a “bottom-up” manner to exploit their potential for process decision-making. The paper describes a hypothetical case study in which the business model concept is illustrated by application to a process design problem at an integrated newsprint mill.

scholarly journals TEACHER ROLE IN FORMATION POLITENESS OF STUDENT LEARNING PROCESS

2016 ◽  
Vol 1 (2) ◽  
pp. 95
Author(s):  
Wahyuni Oktavia ◽  
Safrihady Safrihady
Keyword(s):  
Data Collection ◽  
Moral Education ◽  
Religious Education ◽  
Learning Process ◽  
Speech Acts ◽  
Technical Note ◽  
Human Interaction ◽  
Data Card ◽  
Communication Tool ◽  
Process Data

Language as a communication tool has an important role in human interaction. Language can be used to convey ideas, ideas, feelings, desires, and so forth to others. To be able to communicate well certainly should be able to adjust the language used. One of the main functions of communication is to maintain the continuity of the relationship between the narrator and hearer. Language is an important pillar in the formation of character, in addition to religious education and moral education. In education, teachers must have pedagogical, professional, personal, and social. Teachers who have a good competence speech acts certainly have a good and well mannered to students. In the learning process, teachers and students communicate in give and receive course materials. The learning process is certainly not only provides knowledge alone, but give the values of character to students. In this case, the teacher must have a principle that must be controlled properly, correctly and precisely. Thus, teachers are expected to master the communication and understanding the principles of politeness in speaking well and correctly. The goal is a description of a form of politeness in the learning process. This research is a descriptive study which seeks to describe a form of politeness in the learning process. Data collection method used is the method refer to the data collection techniques are 1) recording technique using a tape recorder, and 2) technical note on the data card. Furthermore, methods of data analysis using pragmatic frontier.

scholarly journals Morphological Responses of a Light-Demanding Alstonia scholaris and a Shade-Tolerant Eusideroxylon zwageri to the Air Humidity and Light Intensity

2021 ◽  
Vol 27 (3) ◽  
pp. 193-199
Author(s):  
B Irawan ◽  
◽  
R P Tamin ◽  
R A Hardiyanti
Keyword(s):  
Light Intensity ◽  
Growth Response ◽  
Forest Ecosystems ◽  
Strong Indication ◽  
Air Humidity ◽  
Alstonia Scholaris ◽  
Main Plot ◽  
Different Levels ◽  
Eusideroxylon Zwageri ◽  
Plot Design

The response of tropical trees to the change of light intensity has been reported to be varied among different species. Some reports argued that the growth was increasing parallel to the increasing of light intensity, but other reports mentioned that the sensitivity to the light intensity was depending on the species. Another environmental factor that has been scientifically proven to affect tree growth is humidity. While humidity itself also directly affected by the light intensity in the forest ecosystems. Therefore, it is possible that the growth pattern of trees under different light intensities is also affected by air humidity under the canopy. This research aimed to study the growth response of a light-demanding Alstonia scholaris and a shade-tolerant Eusideroxylon zwageri to the different levels of air humidity and light intensity. The experiment was conducted in Jambi, Indonesia from April to November 2019. The experiment was carried out using split plot design with factorial treatments. The main plot was the air humidity with three levels and the sub plots was light intensity with five levels. Four replicates were applied. In general, the A. scholaris tends to be more sensitive to the humidity and light intensity compared to E. zwageri. In particular, A. scholaris tends to be more sensitive to the light intensity while, E, zwageri is more sensitive to the humidity. However, there is also strong indication that the effects of light intensity to the growth, especially for A. scholaris, was affected by the humidity level.

scholarly journals Footprinting New Zealand urban forms and lifestyles

2021 ◽  
Author(s):  
◽  
Ella Susanne Lawton
Keyword(s):  
New Zealand ◽  
Urban Form ◽  
Ecological Footprint ◽  
Large Scale ◽  
Environmental Data ◽  
Communication Tool ◽  
Household Energy ◽  
Urban Forms ◽  
Lifestyle Choices ◽  
Diverse Groups

<p>More than 90% of New Zealand’s ecological footprint results from the lifestyle choices of individuals, although the size and impact of their lifestyle footprint depends on the type of urban form in which they live.  The aim of this research is to highlight the degree to which New Zealanders are living beyond their fair earth share and how this appears through lifestyles. As the population continues to increase and resources become scarce, it is vital that both governments and communities have effective resource accounting tools to inform further urban development, given its influence on resource use. The thesis highlights how urban form could reduce barriers to people’s future wellbeing and it identifies the types of lifestyles that support a shift towards lower footprint living.  To understand how the ecological footprint of New Zealand’s communities is generated by a combination of the community members’ lifestyle choices and interaction with their urban form, the research comprised five steps.  1. Designing a footprint method and calculating local footprint yields for the New Zealand context.  2. Calculating the New Zealand footprint in nine categories: food and beverages, travel, consumer goods, holidays, household energy, housing, infrastructure, government and services.  3. Creating a calculator and survey, and collecting household footprint data from five New Zealand communities.  4. Processing data and analysing community results highlighting differences and similarities between them.  5. Using the community output creating fair earth share scenarios which highlight those footprint categories within each urban form that provide the best opportunity for reducing a community’s footprint.  Throughout this project the ecological footprint has been an effective indicator which has provided the means to communicate complex environmental data in a simplified form to diverse groups. The project used the ecological footprint to measure and communicate the trends that are putting pressure on the planet’s finite availability of land; a growing demand and the decreasing supply. It was found to be an effective communication tool for both communities and local government organisations that formed a way of discussing how to reduce their footprint in the future.  Although many New Zealand lifestyles exist in a variety of types of urban form, some lifestyle types are more typical in certain urban forms. Food was found to be the predominant driver of a household’s footprint. Use of commercial land for growing, on-farm inputs and food processing made up the largest portion of the food footprint. Holidays and pets were also large contributors to an individual’s footprint. Due to the high amount of renewable energy that goes into producing New Zealand’s electricity, household energy was proportionally much less than found in similar international footprint case studies.  The final scenarios show that fair earth share living in New Zealand is possible; some individuals are already doing it. However bringing about large-scale change will require collective community strategic planning, planning tools to develop resource efficient urban design, and immediate action.</p>

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