1,736 research outputs found

    Recent patents on computational intelligence

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    Implementation of Computer Control in Control Loop Process

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    Process Control refers to the application of control technology components in order to achieve greater process stability, improved product specifications and yield, and to increase efficiency. In this work, in implementing a process control, Fieldbus technology is used on a simple control loop process. In definition, Fieldbus is a digital, two way communication link between controls where this technology is different with the 4-20mA Analog communication. The process control of desired plant is identified and depicted using P&ID. Then it is converted to the Function Block Diagram, by which the process control loop can be configured using SMAR SYSCON SYSTEM CONFIGURA TOR & ICONICS GEN32 Enterprise Edition. All related instruments and devices are initialized and configured using the same application. Finally, the performance of the process control using Fieldbus communication is monitore

    A comprehensive survey on cultural algorithms

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    Modular Smart House System Based on a Wireless Sensor Network

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    Smart House is an automated and controlled system, which enables adjustment of living environment according to user demands. Advancements of wireless sensor network (WSN) technology give us an opportunity to improve, simplify and ensure a costeffective smart home system. The paper describes the system composed of the BeagleBoard-xM, an XBeePro S2B coordinator, an XBee smart plug and a sensor, a mobile and a web application. The test solution was made in the laboratory environment. Compared to other existing solutions, the proposed system has benefits such as low-power consumption, cost effectiveness, modularity, module placement independence of power source, etc. In future, the system can be supplemented by power consumption regulation, speech and face recognition software, etc

    Integrated Temperature Monitoring System Based On Wireless Sensor Network In Reefer Storage

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    Semakin meningkatnya jumlah distribusi produk hortikultura yang mudah membusuk, semakin meningkat pula penggunaan kapal kontainer berpendingin (reefer storage). Hal ini dibutuhkan untuk menjaga suhu buah dan sayuran sesuai kebutuhan. Di dalam industri cold chain, banyaknya tahap dan lamanya waktu penyimpanan dan pendistribusian menyebabkan ketidakstabilan suhu, sehingga perlu adanya monitoring suhu secara periodik, terutama di dalam reefer storage. Hal ini dilakukan untuk menjaga kesegaran dan kualitas dari produk. Di dalam penelitian ini, Wireless Sensor Network (WSN) digunakan sebagai salah satu inovasi sistem monitoring suhu. Penelitian ini bertujuan untuk mengadakan percobaan dan menganalisa efektifitas sistem monitoring suhu menggunakan Wireless Sensor Network dibandingkan dengan sensor temokopel, serta mengidentifikasi lokasi sensor suhu di dalam reefer storage berdasarkan perencanaan peletakan kargo. Penelitian ini menggunakan pisang sebagai kargo yang harus dijaga suhunya antara 12 – 16 oC. Percobaan pertama menggunakan sensor termokopel tipe K dan data logger Labjack T7 Pro. Percobaan kedua menggunakan beberapa sensor node, koordinator, repeater, dan modul penerima. Di dalam sistem WSN diterapkan sebuah topologi star. Selama 4 jam percobaan dengan interval pengambilan data selama 2 detik, sistem ini mampu mentransfer 6,446 data suhu. Selain itu, sensor WSN mampu membaca suhu 12 – 16 oC dengan eror sebesar 0.68 oC atau 4.7 % dari suhu rata-rata, hal ini mengacu pada nilai standard error selama proses kalibrasi. Di lain pihak, sensor termokopel mampu membaca 7,200 data suhu secara real-time. Sebagai tambahan, lokasi-lokasi kritis di dalam reefer storage terdapat pada sisi atas dan tengah dari kargo. Berdasarkan hal-hal tersebut, implementasi Wireless Sensor Network di dalam reefer storage akan lebih efektif dibandingkan dengan sensor termokopel dalam hal kemampuan monitoring secara real-time yang sama serta dalam hal jangkauan transmisi data dari sensor ke modul penerima yang sejauh 100 meter. ================================================================= The increasing number of perishable horticultural product distribution leads to the increasing number of the use of reefer storage/container vessels. It is needed to keep the temperature suitable for fruits and vegetables. In the cold chain industry, some steps and long time needed in the storing and distribution process cause unstable temperature, so the periodical temperature monitoring is needed, especially in vessels’ storages. This is done in order to maintain the freshness and quality of the products. In this study, a Wireless Sensor Network (WSN) was implemented as one of the monitoring systems. This study was aimed to conduct experimentally and analyze the effectiveness of the temperature monitoring system using Wireless Sensor Network compared to the thermocouple sensors, as well as to identify the location of the temperature sensors in the reefer storage based on the stowage plan. This study was based on the setting temperature of bananas around 12 – 16 oC. The first experiment used thermocouple sensors type K and Labjack T7 Pro data logger. The second experiment used WSN sensor nodes, the coordinator, the repeater, and the receiver module. In the WSN system, a star topology was applied. During experiments conducted for 4 hours with the interval around 2 seconds, this system could transfer 6,446 temperature data. Furthermore, WSN sensor nodes can read temperature in the range of 12 – 16 oC with the uncertainty error around 0.68 oC or 4.7 % from the mean temperature according to the standard error in the calibration process. On the other hand, thermocouple sensors could read 7,200 temperature data completely and realtime. In addition, the critical locations in reefer storage were on the top side and middle side of the cargo. Based on these findings, the implementation of Wireless Sensor Network in reefer storage was found to be more effective than thermocouple sensors in terms of the similar capability to monitor real-time data and of the range of the data transmission from the sensors to the receiver which is around 100 meters
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