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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="water level sensor"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 21164</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: water level sensor</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21164</span> Wireless Sensor Networks for Water Quality Monitoring: Prototype Design</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cesar%20Eduardo%20Hern%C3%A1ndez%20Curiel">Cesar Eduardo Hernández Curiel</a>, <a href="https://publications.waset.org/abstracts/search?q=Victor%20Hugo%20Ben%C3%ADtez%20Baltazar"> Victor Hugo Benítez Baltazar</a>, <a href="https://publications.waset.org/abstracts/search?q=Jes%C3%BAs%20Horacio%20Pacheco%20Ram%C3%ADrez"> Jesús Horacio Pacheco Ramírez</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper is devoted to present the advances in the design of a prototype that is able to supervise the complex behavior of water quality parameters such as pH and temperature, via a real-time monitoring system. The current water quality tests that are performed in government water quality institutions in Mexico are carried out in problematic locations and they require taking manual samples. The water samples are then taken to the institution laboratory for examination. In order to automate this process, a water quality monitoring system based on wireless sensor networks is proposed. The system consists of a sensor node which contains one pH sensor, one temperature sensor, a microcontroller, and a ZigBee radio, and a base station composed by a ZigBee radio and a PC. The progress in this investigation shows the development of a water quality monitoring system. Due to recent events that affected water quality in Mexico, the main motivation of this study is to address water quality monitoring systems, so in the near future, a more robust, affordable, and reliable system can be deployed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=pH%20measurement" title="pH measurement">pH measurement</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20quality%20monitoring" title=" water quality monitoring"> water quality monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20sensor%20networks" title=" wireless sensor networks"> wireless sensor networks</a>, <a href="https://publications.waset.org/abstracts/search?q=ZigBee" title=" ZigBee"> ZigBee</a> </p> <a href="https://publications.waset.org/abstracts/43281/wireless-sensor-networks-for-water-quality-monitoring-prototype-design" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43281.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">404</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21163</span> A Smart Sensor Network Approach Using Affordable River Water Level Sensors</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Dian%20Zhang">Dian Zhang</a>, <a href="https://publications.waset.org/abstracts/search?q=Brendan%20Heery"> Brendan Heery</a>, <a href="https://publications.waset.org/abstracts/search?q=Maria%20O%E2%80%99Neill"> Maria O’Neill</a>, <a href="https://publications.waset.org/abstracts/search?q=Ciprian%20Briciu-Burghina"> Ciprian Briciu-Burghina</a>, <a href="https://publications.waset.org/abstracts/search?q=Noel%20E.%20O%E2%80%99Connor"> Noel E. O’Connor</a>, <a href="https://publications.waset.org/abstracts/search?q=Fiona%20Regan"> Fiona Regan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Recent developments in sensors, wireless data communication and the cloud computing have brought the sensor web to a whole new generation. The introduction of the concept of ‘Internet of Thing (IoT)’ has brought the sensor research into a new level, which involves the developing of long lasting, low cost, environment friendly and smart sensors; new wireless data communication technologies; big data analytics algorithms and cloud based solutions that are tailored to large scale smart sensor network. The next generation of smart sensor network consists of several layers: physical layer, where all the smart sensors resident and data pre-processes occur, either on the sensor itself or field gateway; data transmission layer, where data and instructions exchanges happen; the data process layer, where meaningful information is extracted and organized from the pre-process data stream. There are many definitions of smart sensor, however, to summarize all these definitions, a smart sensor must be Intelligent and Adaptable. In future large scale sensor network, collected data are far too large for traditional applications to send, store or process. The sensor unit must be intelligent that pre-processes collected data locally on board (this process may occur on field gateway depends on the sensor network structure). In this case study, three smart sensing methods, corresponding to simple thresholding, statistical model and machine learning based MoPBAS method, are introduced and their strength and weakness are discussed as an introduction to the smart sensing concept. Data fusion, the integration of data and knowledge from multiple sources, are key components of the next generation smart sensor network. For example, in the water level monitoring system, weather forecast can be extracted from external sources and if a heavy rainfall is expected, the server can send instructions to the sensor notes to, for instance, increase the sampling rate or switch on the sleeping mode vice versa. In this paper, we describe the deployment of 11 affordable water level sensors in the Dublin catchment. The objective of this paper is to use the deployed river level sensor network at the Dodder catchment in Dublin, Ireland as a case study to give a vision of the next generation of a smart sensor network for flood monitoring to assist agencies in making decisions about deploying resources in the case of a severe flood event. Some of the deployed sensors are located alongside traditional water level sensors for validation purposes. Using the 11 deployed river level sensors in a network as a case study, a vision of the next generation of smart sensor network is proposed. Each key component of the smart sensor network is discussed, which hopefully inspires the researchers who are working in the sensor research domain. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=smart%20sensing" title="smart sensing">smart sensing</a>, <a href="https://publications.waset.org/abstracts/search?q=internet%20of%20things" title=" internet of things"> internet of things</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20level%20sensor" title=" water level sensor"> water level sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=flooding" title=" flooding"> flooding</a> </p> <a href="https://publications.waset.org/abstracts/69276/a-smart-sensor-network-approach-using-affordable-river-water-level-sensors" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/69276.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">381</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21162</span> Study on Water Level Management Criteria of Reservoir Failure Alert System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=B.%20Lee">B. Lee</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20H.%20Choi"> B. H. Choi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The loss of safety for reservoirs brought about by climate change and facility aging leads to reservoir failures, which results in the loss of lives and property damage in downstream areas. Therefore, it is necessary to provide a reservoir failure alert system for downstream residents to detect the early signs of failure (with sensors) in real-time and perform safety management to prevent and minimize possible damage. 10 case studies were carried out to verify the water level management criteria of four levels (attention, caution, alert, serious). Peak changes in water level data were analysed. The results showed that ‘Caution’ and ‘Alert’ were closed to 33% and 66% of difference in level between flood water level and full water level. Therefore, it is adequate to use initial water level management criteria of reservoir failure alert system for the first year. Acknowledgment: This research was supported by a grant (2017-MPSS31-002) from 'Supporting Technology Development Program for Disaster Management' funded by the Ministry of the Interior and Safety(MOIS) <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=alert%20system" title="alert system">alert system</a>, <a href="https://publications.waset.org/abstracts/search?q=management%20criteria" title=" management criteria"> management criteria</a>, <a href="https://publications.waset.org/abstracts/search?q=reservoir%20failure" title=" reservoir failure"> reservoir failure</a>, <a href="https://publications.waset.org/abstracts/search?q=sensor" title=" sensor"> sensor</a> </p> <a href="https://publications.waset.org/abstracts/89818/study-on-water-level-management-criteria-of-reservoir-failure-alert-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/89818.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">200</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21161</span> Application of GPRS in Water Quality Monitoring System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=V.%20Ayishwarya%20Bharathi">V. Ayishwarya Bharathi</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20M.%20Hasker"> S. M. Hasker</a>, <a href="https://publications.waset.org/abstracts/search?q=J.%20Indhu"> J. Indhu</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Mohamed%20Azarudeen"> M. Mohamed Azarudeen</a>, <a href="https://publications.waset.org/abstracts/search?q=G.%20Gowthami"> G. Gowthami</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Vinoth%20Rajan"> R. Vinoth Rajan</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Vijayarangan"> N. Vijayarangan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Identification of water quality conditions in a river system based on limited observations is an essential task for meeting the goals of environmental management. The traditional method of water quality testing is to collect samples manually and then send to laboratory for analysis. However, it has been unable to meet the demands of water quality monitoring today. So a set of automatic measurement and reporting system of water quality has been developed. In this project specifies Water quality parameters collected by multi-parameter water quality probe are transmitted to data processing and monitoring center through GPRS wireless communication network of mobile. The multi parameter sensor is directly placed above the water level. The monitoring center consists of GPRS and micro-controller which monitor the data. The collected data can be monitor at any instant of time. In the pollution control board they will monitor the water quality sensor data in computer using Visual Basic Software. The system collects, transmits and processes water quality parameters automatically, so production efficiency and economy benefit are improved greatly. GPRS technology can achieve well within the complex environment of poor water quality non-monitored, and more specifically applicable to the collection point, data transmission automatically generate the field of water analysis equipment data transmission and monitoring. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=multiparameter%20sensor" title="multiparameter sensor">multiparameter sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=GPRS" title=" GPRS"> GPRS</a>, <a href="https://publications.waset.org/abstracts/search?q=visual%20basic%20software" title=" visual basic software"> visual basic software</a>, <a href="https://publications.waset.org/abstracts/search?q=RS232" title=" RS232"> RS232</a> </p> <a href="https://publications.waset.org/abstracts/3962/application-of-gprs-in-water-quality-monitoring-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/3962.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">412</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21160</span> Monitoring of Water Quality Using Wireless Sensor Network: Case Study of Benue State of Nigeria</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Desmond%20Okorie">Desmond Okorie</a>, <a href="https://publications.waset.org/abstracts/search?q=Emmanuel%20Prince"> Emmanuel Prince</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Availability of portable water has been a global challenge especially to the developing continents/nations such as Africa/Nigeria. The World Health Organization WHO has produced the guideline for drinking water quality GDWQ which aims at ensuring water safety from source to consumer. Portable water parameters test include physical (colour, odour, temperature, turbidity), chemical (PH, dissolved solids) biological (algae, plytoplankton). This paper discusses the use of wireless sensor networks to monitor water quality using efficient and effective sensors that have the ability to sense, process and transmit sensed data. The integration of wireless sensor network to a portable sensing device offers the feasibility of sensing distribution capability, on site data measurements and remote sensing abilities. The current water quality tests that are performed in government water quality institutions in Benue State Nigeria are carried out in problematic locations that require taking manual water samples to the institution laboratory for examination, to automate the entire process based on wireless sensor network, a system was designed. The system consists of sensor node containing one PH sensor, one temperature sensor, a microcontroller, a zigbee radio and a base station composed by a zigbee radio and a PC. Due to the advancement of wireless sensor network technology, unexpected contamination events in water environments can be observed continuously. local area network (LAN) wireless local area network (WLAN) and internet web-based also commonly used as a gateway unit for data communication via local base computer using standard global system for mobile communication (GSM). The improvement made on this development show a water quality monitoring system and prospect for more robust and reliable system in the future. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=local%20area%20network" title="local area network">local area network</a>, <a href="https://publications.waset.org/abstracts/search?q=Ph%20measurement" title=" Ph measurement"> Ph measurement</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20sensor%20network" title=" wireless sensor network"> wireless sensor network</a>, <a href="https://publications.waset.org/abstracts/search?q=zigbee" title=" zigbee"> zigbee</a> </p> <a href="https://publications.waset.org/abstracts/91538/monitoring-of-water-quality-using-wireless-sensor-network-case-study-of-benue-state-of-nigeria" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/91538.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">172</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21159</span> Real-Time Water Quality Monitoring and Control System for Fish Farms Based on IoT</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nadia%20Yaghoobi">Nadia Yaghoobi</a>, <a href="https://publications.waset.org/abstracts/search?q=Seyed%20Majid%20Esmaeilzadeh"> Seyed Majid Esmaeilzadeh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Due to advancements in wireless communication, new sensor capabilities have been created. In addition to the automation industry, the Internet of Things (IoT) has been used in environmental issues and has provided the possibility of communication between different devices for data collection and exchange. Water quality depends on many factors which are essential for maintaining the minimum sustainability of water. Regarding the great dependence of fishes on the quality of the aquatic environment, water quality can directly affect their activity. Therefore, monitoring water quality is an important issue to consider, especially in the fish farming industry. The conventional method of water quality testing is to collect water samples manually and send them to a laboratory for testing and analysis. This time-consuming method is a waste of manpower and is not cost-effective. The water quality measurement system implemented in this project monitors water quality in real-time through various sensors (parameters: water temperature, water level, dissolved oxygen, humidity and ambient temperature, water turbidity, PH). The Wi-Fi module, ESP8266, transmits data collected by sensors wirelessly to ThingSpeak and the smartphone app. Also, with the help of these instantaneous data, water temperature and water level can be controlled by using a heater and a water pump, respectively. This system can have a detailed study of the pollution and condition of water resources and can provide an environment for safe fish farming. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=dissolved%20oxygen" title="dissolved oxygen">dissolved oxygen</a>, <a href="https://publications.waset.org/abstracts/search?q=IoT" title=" IoT"> IoT</a>, <a href="https://publications.waset.org/abstracts/search?q=monitoring" title=" monitoring"> monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=ThingSpeak" title=" ThingSpeak"> ThingSpeak</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20level" title=" water level"> water level</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20quality" title=" water quality"> water quality</a>, <a href="https://publications.waset.org/abstracts/search?q=WiFi%20module" title=" WiFi module"> WiFi module</a> </p> <a href="https://publications.waset.org/abstracts/142252/real-time-water-quality-monitoring-and-control-system-for-fish-farms-based-on-iot" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/142252.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">194</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21158</span> Highly Selective Polymeric Fluorescence Sensor for Cd(II) Ions</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Soner%20Cubuk">Soner Cubuk</a>, <a href="https://publications.waset.org/abstracts/search?q=Ozge%20Yilmaz"> Ozge Yilmaz</a>, <a href="https://publications.waset.org/abstracts/search?q=Ece%20Kok%20Yetimoglu"> Ece Kok Yetimoglu</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20Vezir%20Kahraman"> M. Vezir Kahraman</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this work, a polymer based highly selective fluorescence sensor membrane was prepared by the photopolymerization technique for the determination Cd(II) ion. Sensor characteristics such as effects of pH, response time and foreign ions on the fluorescence intensity of the sensor were also studied. Under optimized conditions, the polymeric sensor shows a rapid, stable and linear response for 4.45x10-⁹ mol L-¹ - 4.45x10-⁸ mol L-¹ Cd(II) ion with the detection limit of 6.23x10-¹⁰ mol L-¹. In addition, sensor membrane was selective which is not affected by common foreign metal ions. The concentrations of the foreign ions such as Pb²+, Co²+, Ag+, Zn²+, Cu²+, Cr³+ are 1000-fold higher than Cd(II) ions. Moreover, the developed polymeric sensor was successfully applied to the determination of cadmium ions in food and water samples. This work was supported by Marmara University, Commission of Scientific Research Project. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cadmium%28II%29" title="cadmium(II)">cadmium(II)</a>, <a href="https://publications.waset.org/abstracts/search?q=fluorescence" title=" fluorescence"> fluorescence</a>, <a href="https://publications.waset.org/abstracts/search?q=photopolymerization" title=" photopolymerization"> photopolymerization</a>, <a href="https://publications.waset.org/abstracts/search?q=polymeric%20sensor" title=" polymeric sensor"> polymeric sensor</a> </p> <a href="https://publications.waset.org/abstracts/65360/highly-selective-polymeric-fluorescence-sensor-for-cdii-ions" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/65360.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">566</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21157</span> A Wireless Sensor Network Protocol for a Car Parking Space Monitoring System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jung-Ho%20Moon">Jung-Ho Moon</a>, <a href="https://publications.waset.org/abstracts/search?q=Myung-Gon%20Yoon"> Myung-Gon Yoon</a>, <a href="https://publications.waset.org/abstracts/search?q=Tae%20Kwon%20Ha"> Tae Kwon Ha</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a wireless sensor network protocol for a car parking monitoring system. A wireless sensor network for the purpose is composed of multiple sensor nodes, a sink node, a gateway, and a server. Each of the sensor nodes is equipped with a 3-axis AMR sensor and deployed in the center of a parking space. The sensor node reads its sensor values periodically and transmits the data to the sink node if the current and immediate past sensor values show a difference exceeding a threshold value. The operations of the sink and sensor nodes are described in detail along with flow diagrams. The protocol allows a low-duty cycle operation of the sensor nodes and a flexible adjustment of the threshold value used by the sensor nodes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=car%20parking%20monitoring" title="car parking monitoring">car parking monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=sensor%20node" title=" sensor node"> sensor node</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20sensor%20network" title=" wireless sensor network"> wireless sensor network</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20protocol" title=" network protocol"> network protocol</a> </p> <a href="https://publications.waset.org/abstracts/11153/a-wireless-sensor-network-protocol-for-a-car-parking-space-monitoring-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11153.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">538</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21156</span> Towards a Smart Irrigation System Based on Wireless Sensor Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Loubna%20Hamami">Loubna Hamami</a>, <a href="https://publications.waset.org/abstracts/search?q=Bouchaib%20Nassereddine"> Bouchaib Nassereddine</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Due to the evolution of technologies, the need to observe and manage hostile environments, and reduction in size, wireless sensor networks (WSNs) are becoming essential and implicated in the most fields of life. WSNs enable us to change the style of living, working and interacting with the physical environment. The agricultural sector is one of such sectors where WSNs are successfully used to get various benefits. For successful agricultural production, the irrigation system is one of the most important factors, and it plays a tactical role in the process of agriculture domain. However, it is considered as the largest consumer of freshwater. Besides, the scarcity of water, the drought, the waste of the limited available water resources are among the critical issues that touch the almost sectors, notably agricultural services. These facts are leading all governments around the world to rethink about saving water and reducing the volume of water used; this requires the development of irrigation practices in order to have a complete and independent system that is more efficient in the management of irrigation. Consequently, the selection of WSNs in irrigation system has been a benefit for developing the agriculture sector. In this work, we propose a prototype for a complete and intelligent irrigation system based on wireless sensor networks and we present and discuss the design of this prototype. This latter aims at saving water, energy and time. The proposed prototype controls water system for irrigation by monitoring the soil temperature, soil moisture and weather conditions for estimation of water requirements of each plant. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=precision%20irrigation" title="precision irrigation">precision irrigation</a>, <a href="https://publications.waset.org/abstracts/search?q=sensor" title=" sensor"> sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=wireless%20sensor%20networks" title=" wireless sensor networks"> wireless sensor networks</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20resources" title=" water resources"> water resources</a> </p> <a href="https://publications.waset.org/abstracts/93442/towards-a-smart-irrigation-system-based-on-wireless-sensor-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/93442.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">153</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21155</span> Sensor Validation Using Bottleneck Neural Network and Variable Reconstruction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Somia%20Bouzid">Somia Bouzid</a>, <a href="https://publications.waset.org/abstracts/search?q=Messaoud%20Ramdani"> Messaoud Ramdani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The success of any diagnosis strategy critically depends on the sensors measuring process variables. This paper presents a detection and diagnosis sensor faults method based on a Bottleneck Neural Network (BNN). The BNN approach is used as a statistical process control tool for drinking water distribution (DWD) systems to detect and isolate the sensor faults. Variable reconstruction approach is very useful for sensor fault isolation, this method is validated in simulation on a nonlinear system: actual drinking water distribution system. Several results are presented. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=fault%20detection" title="fault detection">fault detection</a>, <a href="https://publications.waset.org/abstracts/search?q=localization" title=" localization"> localization</a>, <a href="https://publications.waset.org/abstracts/search?q=PCA" title=" PCA"> PCA</a>, <a href="https://publications.waset.org/abstracts/search?q=NLPCA" title=" NLPCA"> NLPCA</a>, <a href="https://publications.waset.org/abstracts/search?q=auto-associative%20neural%20network" title=" auto-associative neural network"> auto-associative neural network</a> </p> <a href="https://publications.waset.org/abstracts/1534/sensor-validation-using-bottleneck-neural-network-and-variable-reconstruction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/1534.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">389</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21154</span> Application of Wireless Sensor Networks: A Survey in Thailand</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sathapath%20Kilaso">Sathapath Kilaso</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nowadays, Today, wireless sensor networks are an important technology that works with Internet of Things. It is receiving various data from many sensor. Then sent to processing or storing. By wireless network or through the Internet. The devices around us are intelligent, can receiving/transmitting and processing data and communicating through the system. There are many applications of wireless sensor networks, such as smart city, smart farm, environmental management, weather. This article will explore the use of wireless sensor networks in Thailand and collect data from Thai Thesis database in 2012-2017. How to Implementing Wireless Sensor Network Technology. Advantage from this study To know the usage wireless technology in many fields. This will be beneficial for future research. In this study was found the most widely used wireless sensor network in agriculture field. Especially for smart farms. And the second is the adoption of the environment. Such as weather stations and water inspection. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wireless%20sensor%20network" title="wireless sensor network">wireless sensor network</a>, <a href="https://publications.waset.org/abstracts/search?q=smart%20city" title=" smart city"> smart city</a>, <a href="https://publications.waset.org/abstracts/search?q=survey" title=" survey"> survey</a>, <a href="https://publications.waset.org/abstracts/search?q=Adhoc%20Network" title=" Adhoc Network"> Adhoc Network</a> </p> <a href="https://publications.waset.org/abstracts/79820/application-of-wireless-sensor-networks-a-survey-in-thailand" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/79820.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">207</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21153</span> A Bio-Inspired Approach for Self-Managing Wireless Sensor and Actor Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lyamine%20Guezouli">Lyamine Guezouli</a>, <a href="https://publications.waset.org/abstracts/search?q=Kamel%20Barka"> Kamel Barka</a>, <a href="https://publications.waset.org/abstracts/search?q=Zineb%20Seghir"> Zineb Seghir</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Wireless sensor and actor networks (WSANs) present a research challenge for different practice areas. Researchers are trying to optimize the use of such networks through their research work. This optimization is done on certain criteria, such as improving energy efficiency, exploiting node heterogeneity, self-adaptability and self-configuration. In this article, we present our proposal for BIFSA (Biologically-Inspired Framework for Wireless Sensor and Actor networks). Indeed, BIFSA is a middleware that addresses the key issues of wireless sensor and actor networks. BIFSA consists of two types of agents: sensor agents (SA) that operate at the sensor level to collect and transport data to actors and actor agents (AA) that operate at the actor level to transport data to base stations. Once the sensor agent arrives at the actor, it becomes an actor agent, which can exploit the resources of the actors and vice versa. BIFSA allows agents to evolve their genetic structures and adapt to the current network conditions. The simulation results show that BIFSA allows the agents to make better use of all the resources available in each type of node, which improves the performance of the network. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wireless%20sensor%20and%20actor%20networks" title="wireless sensor and actor networks">wireless sensor and actor networks</a>, <a href="https://publications.waset.org/abstracts/search?q=self-management" title=" self-management"> self-management</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=agent." title=" agent."> agent.</a> </p> <a href="https://publications.waset.org/abstracts/162585/a-bio-inspired-approach-for-self-managing-wireless-sensor-and-actor-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/162585.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">89</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21152</span> Fairly Irrigation Water Distribution between Upstream and Downstream Water Users in Water Shortage Periods</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20M.%20Hashemy%20Shahdany">S. M. Hashemy Shahdany</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Equitable water delivery becomes one of the main concerns for water authorities in arid regions. Due to water scarcity, providing reliable amount of water is not possible for most of the irrigation districts in arid regions. In this paper, water level difference control is applied to keep the water level errors equal in adjacent reaches. Distant downstream decentralized configurations of the control method are designed and tested under a realistic scenario shows canal operation under water shortage. The simulation results show that the difference controllers share the water level error among all of the users in a fair way. Therefore, water deficit has a similar influence on downstream as well as upstream and water offtakes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=equitable%20water%20distribution" title="equitable water distribution">equitable water distribution</a>, <a href="https://publications.waset.org/abstracts/search?q=precise%20agriculture" title=" precise agriculture"> precise agriculture</a>, <a href="https://publications.waset.org/abstracts/search?q=sustainable%20agriculture" title=" sustainable agriculture"> sustainable agriculture</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20shortage" title=" water shortage"> water shortage</a> </p> <a href="https://publications.waset.org/abstracts/39301/fairly-irrigation-water-distribution-between-upstream-and-downstream-water-users-in-water-shortage-periods" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/39301.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">462</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21151</span> Modified Fe₃O₄ Nanoparticles for Electrochemical Sensing of Heavy Metal Ions Pb²⁺, Hg²⁺, and Cd²⁺ in Water</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Megha">Megha</a>, <a href="https://publications.waset.org/abstracts/search?q=Diksha"> Diksha</a>, <a href="https://publications.waset.org/abstracts/search?q=Seema%20Rani"> Seema Rani</a>, <a href="https://publications.waset.org/abstracts/search?q=Balwinder%20Kaur"> Balwinder Kaur</a>, <a href="https://publications.waset.org/abstracts/search?q=Harminder%20Kaur"> Harminder Kaur</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Fe₃O₄@SiO₂@SB functionalized magnetic nanoparticles were synthesized and used to detect heavy metal ions such as Pb²⁺, Hg²⁺, and Cd²⁺ in water. The formation of Fe₃O₄@SiO₂@SB nanocatalyst was confirmed by XRD, SEM, TEM, and IR. The simultaneous determination of analyte cations was carried out using square wave anodic stripping voltammetry (SWASV). Investigation and optimisation were done to study how experimental variables affected the performance of the modified magnetic electrode. Pb²⁺, Hg²⁺, and Cd²⁺ were successfully detected using the designed sensor in the presence of various possibly interfering ions. The recovery rate was found to be 97.5% for Pb²⁺, 96.2% for Hg²⁺, 103.5% for Cd²⁺. The electrochemical sensor was also employed to determine the presence of heavy metal ions in drinking water samples, which are well below the World Health Organization (WHO) guidelines. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=magnetic%20nanoparticles" title="magnetic nanoparticles">magnetic nanoparticles</a>, <a href="https://publications.waset.org/abstracts/search?q=heavy%20metal%20ions" title=" heavy metal ions"> heavy metal ions</a>, <a href="https://publications.waset.org/abstracts/search?q=electrochemical%20sensor" title=" electrochemical sensor"> electrochemical sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=environmental%20water%20samples" title=" environmental water samples"> environmental water samples</a> </p> <a href="https://publications.waset.org/abstracts/172188/modified-fe3o4-nanoparticles-for-electrochemical-sensing-of-heavy-metal-ions-pb2-hg2-and-cd2-in-water" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/172188.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">79</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21150</span> An Energy Holes Avoidance Routing Protocol for Underwater Wireless Sensor Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=A.%20Khan">A. Khan</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Mahmood"> H. Mahmood</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In Underwater Wireless Sensor Networks (UWSNs), sensor nodes close to water surface (final destination) are often preferred for selection as forwarders. However, their frequent selection makes them depleted of their limited battery power. In consequence, these nodes die during early stage of network operation and create energy holes where forwarders are not available for packets forwarding. These holes severely affect network throughput. As a result, system performance significantly degrades. In this paper, a routing protocol is proposed to avoid energy holes during packets forwarding. The proposed protocol does not require the conventional position information (localization) of holes to avoid them. Localization is cumbersome; energy is inefficient and difficult to achieve in underwater environment where sensor nodes change their positions with water currents. Forwarders with the lowest water pressure level and the maximum number of neighbors are preferred to forward packets. These two parameters together minimize packet drop by following the paths where maximum forwarders are available. To avoid interference along the paths with the maximum forwarders, a packet holding time is defined for each forwarder. Simulation results reveal superior performance of the proposed scheme than the counterpart technique. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=energy%20holes" title="energy holes">energy holes</a>, <a href="https://publications.waset.org/abstracts/search?q=interference" title=" interference"> interference</a>, <a href="https://publications.waset.org/abstracts/search?q=routing" title=" routing"> routing</a>, <a href="https://publications.waset.org/abstracts/search?q=underwater" title=" underwater"> underwater</a> </p> <a href="https://publications.waset.org/abstracts/77618/an-energy-holes-avoidance-routing-protocol-for-underwater-wireless-sensor-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/77618.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">409</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21149</span> Impact of Climate Change on Water Level and Properties of Gorgan Bay in the Southern Caspian Sea</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Siamak%20Jamshidi">Siamak Jamshidi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The Caspian Sea is the Earth's largest inland body of water. One of the most important issues related to the sea is water level changes. For measuring and recording Caspian Sea water level, there are at least three gauges and radar equipment in Anzali, Nowshahr and Amirabad Ports along the southern boundary of the Caspian Sea. It seems that evaporation, hotter surface air temperature, and in general climate change is the main reasons for its water level fluctuations. Gorgan Bay in the eastern part of the southern boundary of the Caspian Sea is one of the areas under the effect of water level fluctuation. Based on the results of field measurements near the Gorgan Bay mouth temperature ranged between 24°C–28°C and salinity was about 13.5 PSU in midsummer while temperature changed between 10-11.5°C and salinity mostly was 15-16.5 PSU in mid-winter. The decrease of Caspian Sea water level and rivers outflow are the two most important factors for the increase in water salinity of the Gorgan Bay. Results of field observations showed that, due to atmospheric factors, climate changes and decreasing of precipitation over the southern basin of the Caspian Sea during last decades, the water level of bay was reduced around 0.5 m. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Caspian%20Sea" title="Caspian Sea">Caspian Sea</a>, <a href="https://publications.waset.org/abstracts/search?q=Gorgan%20Bay" title=" Gorgan Bay"> Gorgan Bay</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20level%20fluctuation" title=" water level fluctuation"> water level fluctuation</a>, <a href="https://publications.waset.org/abstracts/search?q=climate%20changes" title=" climate changes"> climate changes</a> </p> <a href="https://publications.waset.org/abstracts/98305/impact-of-climate-change-on-water-level-and-properties-of-gorgan-bay-in-the-southern-caspian-sea" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/98305.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">170</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21148</span> An Energy Efficient Clustering Approach for Underwater ‎Wireless Sensor Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Reza%20Taherkhani%E2%80%8E">Mohammad Reza Taherkhani‎</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Wireless sensor networks that are used to monitor a special environment, are formed from a large number of sensor nodes. The role of these sensors is to sense special parameters from ambient and to make a connection. In these networks, the most important challenge is the management of energy usage. Clustering is one of the methods that are broadly used to face this challenge. In this paper, a distributed clustering protocol based on learning automata is proposed for underwater wireless sensor networks. The proposed algorithm that is called LA-Clustering forms clusters in the same energy level, based on the energy level of nodes and the connection radius regardless of size and the structure of sensor network. The proposed approach is simulated and is compared with some other protocols with considering some metrics such as network lifetime, number of alive nodes, and number of transmitted data. The simulation results demonstrate the efficiency of the proposed approach. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=underwater%20sensor%20networks" title="underwater sensor networks">underwater sensor networks</a>, <a href="https://publications.waset.org/abstracts/search?q=clustering" title=" clustering"> clustering</a>, <a href="https://publications.waset.org/abstracts/search?q=learning%20automata" title=" learning automata"> learning automata</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20consumption" title=" energy consumption"> energy consumption</a> </p> <a href="https://publications.waset.org/abstracts/59693/an-energy-efficient-clustering-approach-for-underwater-wireless-sensor-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/59693.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">361</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21147</span> Implementation of Sensor Fusion Structure of 9-Axis Sensors on the Multipoint Control Unit</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jun%20Gil%20Ahn">Jun Gil Ahn</a>, <a href="https://publications.waset.org/abstracts/search?q=Jong%20Tae%20Kim"> Jong Tae Kim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, we study the sensor fusion structure on the multipoint control unit (MCU). Sensor fusion using Kalman filter for 9-axis sensors is considered. The 9-axis inertial sensor is the combination of 3-axis accelerometer, 3-axis gyroscope and 3-axis magnetometer. We implement the sensor fusion structure among the sensor hubs in MCU and measure the execution time, power consumptions, and total energy. Experiments with real data from 9-axis sensor in 20Mhz show that the average power consumptions are 44mW and 48mW on Cortx-M0 and Cortex-M3 MCU, respectively. Execution times are 613.03 us and 305.6 us respectively. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=9-axis%20sensor" title="9-axis sensor">9-axis sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=Kalman%20filter" title=" Kalman filter"> Kalman filter</a>, <a href="https://publications.waset.org/abstracts/search?q=MCU" title=" MCU"> MCU</a>, <a href="https://publications.waset.org/abstracts/search?q=sensor%20fusion" title=" sensor fusion"> sensor fusion</a> </p> <a href="https://publications.waset.org/abstracts/84323/implementation-of-sensor-fusion-structure-of-9-axis-sensors-on-the-multipoint-control-unit" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/84323.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">504</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21146</span> Implementation of Chlorine Monitoring and Supply System for Drinking Water Tanks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ugur%20Fidan">Ugur Fidan</a>, <a href="https://publications.waset.org/abstracts/search?q=Naim%20Karasekreter"> Naim Karasekreter</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Healthy and clean water should not contain disease-causing micro-organisms and toxic chemicals and must contain the necessary minerals in a balanced manner. Today, water resources have a limited and strategic importance, necessitating the management of water reserves. Water tanks meet the water needs of people and should be regularly chlorinated to prevent waterborne diseases. For this purpose, automatic chlorination systems placed in water tanks for killing bacteria. However, the regular operation of automatic chlorination systems depends on refilling the chlorine tank when it is empty. For this reason, there is a need for a stock control system, in which chlorine levels are regularly monitored and supplied. It has become imperative to take urgent measures against epidemics caused by the fact that most of our country is not aware of the end of chlorine. The aim of this work is to rehabilitate existing water tanks and to provide a method for a modern water storage system in which chlorination is digitally monitored by turning the newly established water tanks into a closed system. A sensor network structure using GSM/GPRS communication infrastructure has been developed in the study. The system consists of two basic units: hardware and software. The hardware includes a chlorine level sensor, an RFID interlock system for authorized personnel entry into water tank, a motion sensor for animals and other elements, and a camera system to ensure process safety. It transmits the data from the hardware sensors to the host server software via the TCP/IP protocol. The main server software processes the incoming data through the security algorithm and informs the relevant unit responsible (Security forces, Chlorine supply unit, Public health, Local Administrator) by e-mail and SMS. Since the software is developed base on the web, authorized personnel are also able to monitor drinking water tank and report data on the internet. When the findings and user feedback obtained as a result of the study are evaluated, it is shown that closed drinking water tanks are built with GRP type material, and continuous monitoring in digital environment is vital for sustainable health water supply for people. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wireless%20sensor%20networks%20%28WSN%29" title="wireless sensor networks (WSN)">wireless sensor networks (WSN)</a>, <a href="https://publications.waset.org/abstracts/search?q=monitoring" title=" monitoring"> monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=chlorine" title=" chlorine"> chlorine</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20tank" title=" water tank"> water tank</a>, <a href="https://publications.waset.org/abstracts/search?q=security" title=" security"> security</a> </p> <a href="https://publications.waset.org/abstracts/78971/implementation-of-chlorine-monitoring-and-supply-system-for-drinking-water-tanks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/78971.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">160</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21145</span> A Learning Automata Based Clustering Approach for Underwater ‎Sensor Networks to Reduce Energy Consumption</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Motahareh%20Fadaei">Motahareh Fadaei</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Wireless sensor networks that are used to monitor a special environment, are formed from a large number of sensor nodes. The role of these sensors is to sense special parameters from ambient and to make connection. In these networks, the most important challenge is the management of energy usage. Clustering is one of the methods that are broadly used to face this challenge. In this paper, a distributed clustering protocol based on learning automata is proposed for underwater wireless sensor networks. The proposed algorithm that is called LA-Clustering forms clusters in the same energy level, based on the energy level of nodes and the connection radius regardless of size and the structure of sensor network. The proposed approach is simulated and is compared with some other protocols with considering some metrics such as network lifetime, number of alive nodes, and number of transmitted data. The simulation results demonstrate the efficiency of the proposed approach. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=clustering" title="clustering">clustering</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20consumption%E2%80%8E" title=" energy consumption‎"> energy consumption‎</a>, <a href="https://publications.waset.org/abstracts/search?q=learning%20automata" title=" learning automata"> learning automata</a>, <a href="https://publications.waset.org/abstracts/search?q=underwater%20sensor%20networks" title=" underwater sensor networks"> underwater sensor networks</a> </p> <a href="https://publications.waset.org/abstracts/54462/a-learning-automata-based-clustering-approach-for-underwater-sensor-networks-to-reduce-energy-consumption" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54462.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">314</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21144</span> Development of a Combustible Gas Detector with Two Sensor Modules to Enable Measuring Range of Low Concentration</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Young%20Gyu%20Kim">Young Gyu Kim</a>, <a href="https://publications.waset.org/abstracts/search?q=Sangguk%20Ahn"> Sangguk Ahn</a>, <a href="https://publications.waset.org/abstracts/search?q=Gyoutae%20Park"> Gyoutae Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Hiesik%20Kim"> Hiesik Kim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In the gas industrial fields, there are many problems to detect extremely small amounts of combustible gas (CH₄) if a conventional semiconductor is used. Those reasons are that measuring is difficult at the low concentration level, the stabilization time is long, and an initial response time is slow. In this study, we propose a method to solve these issues using two specific sensors to overcome the circumstances of temperature and humidity. This idea is to combine a catalytic and a semiconductor type sensor and to utilize every advantage from every sensor’s characteristic. In order to achieve the goal, we reduced fluctuations of a gas sensor for temperature and humidity by applying designed circuits for sensing temperature and humidity. And we induced the best calibration line of gas sensors through adjusting a weight value corresponding to changeable patterns of temperature and humidity after their data are previously acquired and stored. We proposed and developed the gas leak detector using two sensor modules, which is first operated by a semiconductor sensor for measuring small gas quantities and second a catalytic type sensor is detected if measuring range of the first sensor is beyond. We conclusively verified characteristics of sharp sensitivity and fast response time against even at lower gas concentration level through experiments other than a conventional gas sensor. We think that our proposed idea is very useful if another gas leak is developed to enable measuring extremely small quantities of toxic and flammable gases. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gas%20sensor" title="gas sensor">gas sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=leak%20detector" title=" leak detector"> leak detector</a>, <a href="https://publications.waset.org/abstracts/search?q=lower%20concentration" title=" lower concentration"> lower concentration</a>, <a href="https://publications.waset.org/abstracts/search?q=and%20calibration" title=" and calibration"> and calibration</a> </p> <a href="https://publications.waset.org/abstracts/90793/development-of-a-combustible-gas-detector-with-two-sensor-modules-to-enable-measuring-range-of-low-concentration" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/90793.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">240</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21143</span> Impact of Saline Water and Water Restriction in Laying Hens</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Reza%20Vakili">Reza Vakili</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This experiment was conducted to investigate the effect of duration water restriction of drinking water and salinity level on production performance, egg quality and biochemical and hematological blood indices of laying hens. A total of 240 Hy-Line laying hens were used in a completely randomized design with a 2 × 2 factorial arrangement of treatments. Experimental treatments were: 1) free access to drinking water and a low level of salinity (TDS below 500 mg/L) (FAW+LS), 2) free access to water and a high level of salinity (TDS above 1500 mg/L), (FAW+HS), 3) 12 h nightly water restriction and a low level of salinity (LAW+LS), and 4) 12 h water restriction and a high level of salinity (LAW+HS). Intake of feed, percentage of egg production and egg weight and mass were not affected by water restriction or salinity level (P > 0.05), however, a trend (P < 0.01) for lower water consumption was detected in water-restricted hens, regardless of salinity level (213 vs 187). A tendency for lower eggshell and yolk weights was observed in hens that had limited access to water with high salinity compared to those had free access to high saline water (P = 0.08). Serum total protein and glucose concentrations significantly reduced (P < 0.05) in hens drank high salinity water, regardless of water restriction. Moreover, saline water increased the concentration of uric acid, creatinine, and cholesterol when compared to low salinity drank-hens (P < 0.05). The concentrations of ALT and AST increased with salinity level (P < 0.05) and water restriction caused an increment in AST content (P < 0.05). In conclusion, Hy-Line laying hens could withstand water restriction, whilst could not tolerate water salinity of about 1500 mg/L. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=chemical%20pollutants" title="chemical pollutants">chemical pollutants</a>, <a href="https://publications.waset.org/abstracts/search?q=eggs" title=" eggs"> eggs</a>, <a href="https://publications.waset.org/abstracts/search?q=laying%20hens" title=" laying hens"> laying hens</a>, <a href="https://publications.waset.org/abstracts/search?q=salinity" title=" salinity"> salinity</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20quality" title=" water quality"> water quality</a> </p> <a href="https://publications.waset.org/abstracts/191494/impact-of-saline-water-and-water-restriction-in-laying-hens" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/191494.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">24</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21142</span> Genetic Algorithm Based Node Fault Detection and Recovery in Distributed Sensor Networks</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=N.%20Nalini">N. Nalini</a>, <a href="https://publications.waset.org/abstracts/search?q=Lokesh%20B.%20Bhajantri"> Lokesh B. Bhajantri</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In Distributed Sensor Networks, the sensor nodes are prone to failure due to energy depletion and some other reasons. In this regard, fault tolerance of network is essential in distributed sensor environment. Energy efficiency, network or topology control and fault-tolerance are the most important issues in the development of next-generation Distributed Sensor Networks (DSNs). This paper proposes a node fault detection and recovery using Genetic Algorithm (GA) in DSN when some of the sensor nodes are faulty. The main objective of this work is to provide fault tolerance mechanism which is energy efficient and responsive to network using GA, which is used to detect the faulty nodes in the network based on the energy depletion of node and link failure between nodes. The proposed fault detection model is used to detect faults at node level and network level faults (link failure and packet error). Finally, the performance parameters for the proposed scheme are evaluated. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=distributed%20sensor%20networks" title="distributed sensor networks">distributed sensor networks</a>, <a href="https://publications.waset.org/abstracts/search?q=genetic%20algorithm" title=" genetic algorithm"> genetic algorithm</a>, <a href="https://publications.waset.org/abstracts/search?q=fault%20detection%20and%20recovery" title=" fault detection and recovery"> fault detection and recovery</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20technology" title=" information technology"> information technology</a> </p> <a href="https://publications.waset.org/abstracts/8901/genetic-algorithm-based-node-fault-detection-and-recovery-in-distributed-sensor-networks" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/8901.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">452</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21141</span> Design and Implementation of a Nano-Power Wireless Sensor Device for Smart Home Security</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chia-Chi%20Chang">Chia-Chi Chang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Most battery-driven wireless sensor devices will enter in sleep mode as soon as possible to extend the overall lifetime of a sensor network. It is necessary to turn off unnecessary radio and peripheral functions, especially the radio unit always consumes more energy than other components during wireless communication. The microcontroller is the most important part of the wireless sensor device. It is responsible for the manipulation of sensing data and communication protocols. The microcontroller always has different sleep modes, each with a different level of energy usage. The deeper the sleep, the lower the energy consumption. Most wireless sensor devices can only enter the sleep mode: the external low-frequency oscillator is still running to wake up the sleeping microcontroller when the sleep timer expires. In this paper, our sensor device can enter the extended sleep mode: none of the oscillator is running and the wireless sensor device has the nanoampere consumption and self-awaking ability. Finally, these wireless sensor devices were deployed in a smart home security network. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wireless%20sensor%20network" title="wireless sensor network">wireless sensor network</a>, <a href="https://publications.waset.org/abstracts/search?q=battery-driven" title=" battery-driven"> battery-driven</a>, <a href="https://publications.waset.org/abstracts/search?q=sleep%20mode" title=" sleep mode"> sleep mode</a>, <a href="https://publications.waset.org/abstracts/search?q=home%20security" title=" home security"> home security</a> </p> <a href="https://publications.waset.org/abstracts/68538/design-and-implementation-of-a-nano-power-wireless-sensor-device-for-smart-home-security" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/68538.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">307</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21140</span> Open Reading Frame Marker-Based Capacitive DNA Sensor for Ultrasensitive Detection of Escherichia coli O157:H7 in Potable Water </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Rehan%20Deshmukh">Rehan Deshmukh</a>, <a href="https://publications.waset.org/abstracts/search?q=Sunil%20Bhand"> Sunil Bhand</a>, <a href="https://publications.waset.org/abstracts/search?q=Utpal%20Roy"> Utpal Roy</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We report the label-free electrochemical detection of Escherichia coli O157:H7 (ATCC 43895) in potable water using a DNA probe as a sensing molecule targeting the open reading frame marker. Indium tin oxide (ITO) surface was modified with organosilane and, glutaraldehyde was applied as a linker to fabricate the DNA sensor chip. Non-Faradic electrochemical impedance spectroscopy (EIS) behavior was investigated at each step of sensor fabrication using cyclic voltammetry, impedance, phase, relative permittivity, capacitance, and admittance. Atomic force microscopy (AFM) and scanning electron microscopy (SEM) revealed significant changes in surface topographies of DNA sensor chip fabrication. The decrease in the percentage of pinholes from 2.05 (Bare ITO) to 1.46 (after DNA hybridization) suggested the capacitive behavior of the DNA sensor chip. The results of non-Faradic EIS studies of DNA sensor chip showed a systematic declining trend of the capacitance as well as the relative permittivity upon DNA hybridization. DNA sensor chip exhibited linearity in 0.5 to 25 pg/10mL for E. coli O157:H7 (ATCC 43895). The limit of detection (LOD) at 95% confidence estimated by logistic regression was 0.1 pg DNA/10mL of E. coli O157:H7 (equivalent to 13.67 CFU/10mL) with a p-value of 0.0237. Moreover, the fabricated DNA sensor chip used for detection of E. coli O157:H7 showed no significant cross-reactivity with closely and distantly related bacteria such as Escherichia coli MTCC 3221, Escherichia coli O78:H11 MTCC 723 and Bacillus subtilis MTCC 736. Consequently, the results obtained in our study demonstrated the possible application of developed DNA sensor chips for E. coli O157:H7 ATCC 43895 in real water samples as well. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=capacitance" title="capacitance">capacitance</a>, <a href="https://publications.waset.org/abstracts/search?q=DNA%20sensor" title=" DNA sensor"> DNA sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=Escherichia%20coli%20O157%3AH7" title=" Escherichia coli O157:H7"> Escherichia coli O157:H7</a>, <a href="https://publications.waset.org/abstracts/search?q=open%20reading%20frame%20marker" title=" open reading frame marker"> open reading frame marker</a> </p> <a href="https://publications.waset.org/abstracts/112328/open-reading-frame-marker-based-capacitive-dna-sensor-for-ultrasensitive-detection-of-escherichia-coli-o157h7-in-potable-water" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/112328.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">144</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21139</span> Sunflower Irrigation with Two Different Types of Soil Moisture Sensors</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=C.%20D.%20Papanikolaou">C. D. Papanikolaou</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20A.%20Giouvanis"> V. A. Giouvanis</a>, <a href="https://publications.waset.org/abstracts/search?q=E.%20A.%20Karatasiou"> E. A. Karatasiou</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20S.%20Dimakas"> D. S. Dimakas</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20A.%20Sakellariou-Makrantonaki"> M. A. Sakellariou-Makrantonaki</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Irrigation is one of the most important cultivation practices for each crop, especially in areas where rainfall is enough to cover the crop water needs. In such areas, the farmers must irrigate in order to achieve high economical results. The precise irrigation scheduling contributes to irrigation water saving and thus a valuable natural resource is protected. Under this point of view, in the experimental field of the Laboratory of Agricultural Hydraulics of the University of Thessaly, a research was conducted during the growing season of 2012 in order to evaluate the growth, seed and oil production of sunflower as well as the water saving, by applying different methods of irrigation scheduling. Three treatments in four replications were organized. These were: a) surface drip irrigation where the irrigation scheduling based on the Penman-Monteith (PM) method (control); b) surface drip irrigation where the irrigation scheduling based on a soil moisture sensor (SMS); and c) surface drip irrigation, where the irrigation scheduling based on a soil potential sensor (WM). <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=irrigation" title="irrigation">irrigation</a>, <a href="https://publications.waset.org/abstracts/search?q=energy%20production" title=" energy production"> energy production</a>, <a href="https://publications.waset.org/abstracts/search?q=soil%20moisture%20sensor" title=" soil moisture sensor"> soil moisture sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=sunflower" title=" sunflower"> sunflower</a>, <a href="https://publications.waset.org/abstracts/search?q=water%20saving" title=" water saving"> water saving</a> </p> <a href="https://publications.waset.org/abstracts/87561/sunflower-irrigation-with-two-different-types-of-soil-moisture-sensors" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/87561.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">180</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21138</span> Test of Moisture Sensor Activation Speed</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=I.%20Parkova">I. Parkova</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Vali%C5%A1evskis"> A. Vališevskis</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Vi%C4%BCumsone"> A. Viļumsone</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nocturnal enuresis or bed-wetting is intermittent incontinence during sleep of children after age 5 that may precipitate wide range of behavioural and developmental problems. One of the non-pharmacological treatment methods is the use of a bed-wetting alarm system. In order to improve comfort conditions of nocturnal enuresis alarm system, modular moisture sensor should be replaced by a textile sensor. In this study behaviour and moisture detection speed of woven and sewn sensors were compared by analysing change in electrical resistance after solution (salt water) was dripped on sensor samples. Material of samples has different structure and yarn location, which affects solution detection rate. Sensor system circuit was designed and two sensor tests were performed: system activation test and false alarm test to determine the sensitivity of the system and activation threshold. Sewn sensor had better result in system’s activation test – faster reaction, but woven sensor had better result in system’s false alarm test – it was less sensitive to perspiration simulation. After experiments it was found that the optimum switching threshold is 3V in case of 5V input voltage, which provides protection against false alarms, for example – during intensive sweating. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=conductive%20yarns" title="conductive yarns">conductive yarns</a>, <a href="https://publications.waset.org/abstracts/search?q=moisture%20textile%20sensor" title=" moisture textile sensor"> moisture textile sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=industry" title=" industry"> industry</a>, <a href="https://publications.waset.org/abstracts/search?q=material" title=" material"> material</a> </p> <a href="https://publications.waset.org/abstracts/7649/test-of-moisture-sensor-activation-speed" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/7649.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">246</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21137</span> Proposing a Boundary Coverage Algorithm ‎for Underwater Sensor Network</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Seyed%20Mohsen%20Jameii">Seyed Mohsen Jameii</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Wireless underwater sensor networks are a type of sensor networks that are located in underwater environments and linked together by acoustic waves. The application of these kinds of network includes monitoring of pollutants (chemical, biological, and nuclear), oil fields detection, prediction of the likelihood of a tsunami in coastal areas, the use of wireless sensor nodes to monitor the passing submarines, and determination of appropriate locations for anchoring ships. This paper proposes a boundary coverage algorithm for intrusion detection in underwater sensor networks. In the first phase of the proposed algorithm, optimal deployment of nodes is done in the water. In the second phase, after the employment of nodes at the proper depth, clustering is executed to reduce the exchanges of messages between the sensors. In the third phase, the algorithm of "divide and conquer" is used to save energy and increase network efficiency. The simulation results demonstrate the efficiency of the proposed algorithm. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=boundary%20coverage" title="boundary coverage">boundary coverage</a>, <a href="https://publications.waset.org/abstracts/search?q=clustering" title=" clustering"> clustering</a>, <a href="https://publications.waset.org/abstracts/search?q=divide%20and%20%E2%80%8Econquer" title=" divide and ‎conquer"> divide and ‎conquer</a>, <a href="https://publications.waset.org/abstracts/search?q=underwater%20sensor%20nodes" title=" underwater sensor nodes"> underwater sensor nodes</a> </p> <a href="https://publications.waset.org/abstracts/58628/proposing-a-boundary-coverage-algorithm-for-underwater-sensor-network" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/58628.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">341</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21136</span> Valuation on MEMS Pressure Sensors and Device Applications</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nurul%20Amziah%20Md%20Yunus">Nurul Amziah Md Yunus</a>, <a href="https://publications.waset.org/abstracts/search?q=Izhal%20Abdul%20Halin"> Izhal Abdul Halin</a>, <a href="https://publications.waset.org/abstracts/search?q=Nasri%20Sulaiman"> Nasri Sulaiman</a>, <a href="https://publications.waset.org/abstracts/search?q=Noor%20Faezah%20Ismail"> Noor Faezah Ismail</a>, <a href="https://publications.waset.org/abstracts/search?q=Ong%20Kai%20Sheng"> Ong Kai Sheng</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The MEMS pressure sensor has been introduced and presented in this paper. The types of pressure sensor and its theory of operation are also included. The latest MEMS technology, the fabrication processes of pressure sensor are explored and discussed. Besides, various device applications of pressure sensor such as tire pressure monitoring system, diesel particulate filter and others are explained. Due to further miniaturization of the device nowadays, the pressure sensor with nanotechnology (NEMS) is also reviewed. The NEMS pressure sensor is expected to have better performance as well as lower in its cost. It has gained an excellent popularity in many applications. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=pressure%20sensor" title="pressure sensor">pressure sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=diaphragm" title=" diaphragm"> diaphragm</a>, <a href="https://publications.waset.org/abstracts/search?q=MEMS" title=" MEMS"> MEMS</a>, <a href="https://publications.waset.org/abstracts/search?q=automotive%20application" title=" automotive application"> automotive application</a>, <a href="https://publications.waset.org/abstracts/search?q=biomedical%20application" title=" biomedical application"> biomedical application</a>, <a href="https://publications.waset.org/abstracts/search?q=NEMS" title=" NEMS"> NEMS</a> </p> <a href="https://publications.waset.org/abstracts/28395/valuation-on-mems-pressure-sensors-and-device-applications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/28395.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">671</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">21135</span> An Introductory Study on Optimization Algorithm for Movable Sensor Network-Based Odor Source Localization</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yossiri%20Ariyakul">Yossiri Ariyakul</a>, <a href="https://publications.waset.org/abstracts/search?q=Piyakiat%20Insom"> Piyakiat Insom</a>, <a href="https://publications.waset.org/abstracts/search?q=Poonyawat%20Sangiamkulthavorn"> Poonyawat Sangiamkulthavorn</a>, <a href="https://publications.waset.org/abstracts/search?q=Takamichi%20Nakamoto"> Takamichi Nakamoto</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this paper, the method of optimization algorithm for sensor network comprised of movable sensor nodes which can be used for odor source localization was proposed. A sensor node is composed of an odor sensor, an anemometer, and a wireless communication module. The odor intensity measured from the sensor nodes are sent to the processor to perform the localization based on optimization algorithm by which the odor source localization map is obtained as a result. The map can represent the exact position of the odor source or show the direction toward it remotely. The proposed method was experimentally validated by creating the odor source localization map using three, four, and five sensor nodes in which the accuracy to predict the position of the odor source can be observed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=odor%20sensor" title="odor sensor">odor sensor</a>, <a href="https://publications.waset.org/abstracts/search?q=odor%20source%20localization" title=" odor source localization"> odor source localization</a>, <a href="https://publications.waset.org/abstracts/search?q=optimization" title=" optimization"> optimization</a>, <a href="https://publications.waset.org/abstracts/search?q=sensor%20network" title=" sensor network"> sensor network</a> </p> <a href="https://publications.waset.org/abstracts/76005/an-introductory-study-on-optimization-algorithm-for-movable-sensor-network-based-odor-source-localization" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/76005.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">299</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=water%20level%20sensor&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=water%20level%20sensor&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=water%20level%20sensor&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=water%20level%20sensor&page=5">5</a></li> <li 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