Implementasi Pengendalian Robot Mobil Pencari Target Dan Penghindar Rintangan

Robots are useful to help humans in performing jobs that require high precision, substantial labor, repetitive and dirty work, and high-risk or dangerous jobs. Those are the high-risk human jobs that a robot can do. Wheeled robots have the ability to go to the targeted position. Proportional control is used to control the movement of robots. In addition, the robot will also be equipped with PI control method to adjust the actual wheel speed of the robot. The block diagram of the obstacle-driven avoider robot consists of push button, rotary encoder, ultrasonic sensor, Atmega, IC L298D, DC Motor and Light. The results of the obstacle-driven avoider robot, wheeled robots have the ability to run in accordance with the desired black line. Proportional control is used to control the movement of robots. In addition, the robot will also be equipped with ultrasonic sensors to set the robot in avoiding obstacles. Based on the results of testing and analysis that have done, it is suggested that there is tool that can be provided to develop a more sophisticated technology like adding sensors or more features.

Sistem Aplikasi Terintegrasi Pelaporan Keadaan Darurat di Jalan tol Berbasis NodeMCU

Keadaan darurat di jalan tol merupakan sebuah kejadian yang terjadi secara tiba-tiba dan diperlukan proses penanganan yang cepat dan tepat. Nomor hotline di jalan raya masih digunakan sebagai sistem pelaporan, tetapi sering mengalami nada sibuk dan hanya mengandalkan mode GSM. Tujuan dari penelitian ini adalah membuat inovasi untuk mempermudah melaporkan keadaan darurat dengan cepat dan tepat di jalan tol. Teknologi internet dipilih karena internet merupakan komunikasi global jarak jauh yang terbuka dan GSM dipilih karena tidak semua lokasi terdapat jaringan internet. Cara kerja sistem ini yaitu pengguna jalan tol menekan salah satu push button sesuai keadaan darurat yang dialami, lalu mikrokontroler akan mengaktifkan GPS untuk mendeteksi lokasi pelapor, dan mengirimkan ke instansi terkait melalui aplikasi android, SMS, atau e-mail. Ketika data berhasil dikirim, maka pada LCD menampilkan pemberitahuan. Pada pengujian didapatkan hasil kesalahan GPS sebesar 34%, sedangkan push button sebesar 0% , proses pengiriman dan penerimaan data memiliki toleransi waktu yang tidak lebih dari 15 detik. Dari pengujian dapat disimpulkan bahwa realisasi alat dan aplikasi sudah sesuai dengan spesifikasi yang dirancang.

Design and Development of Low-Level Automation for the Picking and Placing of the Object Using Pneumatic Suction

Pneumatics suction is being used in the food factory for picking and placing the ingredients of food. A clean environment inside the food factory is very much needed the maintain the quality of packaging food. The present work focuses on the low level of automation so that investment cost for processing the raw ingredient goes down. Two double-acting pneumatic cylinders, one pneumatic suction gripper, three pneumatic direction control valves, one screw compressor, one DC motor, two relays, a Push button, and a 24-volt power supply have been used the implement the system. A combination of pneumatic actuation and electrical actuation is used for controlling the motion of the system. A simple control ON/OFF system was used for the actuation. Pneumatic component drive with the help of compressed air via a direction control valve and motor direction control using the relay. By pressing the push button whole, the setup can be controlled in a very easier way and it is very user-friendly for the operator. Several testings have been done on the setup and an excellent result were obtained during execution.

Advances in pedestrian travel monitoring: Temporal patterns and spatial characteristics using pedestrian push-button data from Utah traffic signals

In this study, we advanced pedestrian travel monitoring using a novel data source: pedestrian push-button presses obtained from archived traffic signal controller logs at more than 1,500 signalized intersections in Utah over one year. The purposes of this study were to: (1) quantify pedestrian activity patterns; (2) create factor groups and expansion/adjustment factors from these temporal patterns; and (3) explore relationships between patterns and spatial characteristics. Using empirical clustering, we classified signals into five groups, based on normalized hourly/weekly counts (each hour’s proportion of weekly totals, or the inverse of the expansion factors), and three clusters with similar monthly adjustment factors. We also used multinomial logit models to identify spatial characteristics (land use, built environment, socio-economic characteristics, and climatic regions) associated with different temporal patterns. For example, we found that signals near schools were much more likely to have bimodal daily peak hours and lower pedestrian activity during out-of-school months. Despite these good results, our hourly/weekday patterns differed less than in past research, highlighting the limits of existing infrastructure for capturing all kinds of activity patterns. Nevertheless, we demonstrated that signals with push-button data are a useful supplement to existing permanent counters within a broader pedestrian traffic monitoring program.

A RSA-Biometric Based User Authentication Scheme For Smart-Homes Using Smartphone

Internet of Things (IoT) is considered as one of the emerging leading technologies that allow the mainstreaming of smart homes and smart cities in the recent years, by creating a communication system for physical objects over the Internet. In a smart home (also called push-button home automation system), devices are not necessarily homogeneous in terms of topology, security protocols, computational power and communication. This nature of the devices causes some incompatibility with conventional authentication methods and the security requirements of IoT standards. This thesis proposes an RSA-Biometric based three-factor User Authentication Scheme for Smart-Homes using Smartphone (called RSA-B-ASH-S scheme). An informal security analysis of the proposed RSA-B-ASH-S scheme is provided, along with its performance evaluation in terms of computational time, storage requirements and communication overload. Furthermore, a formal analysis of the proposed RSA-B-ASH-S scheme using the Burrows-Abadi-Needham (BAN) Logic is described, showing that the proposed scheme achieves the forward secrecy property by utilizing a fresh encryption key for each session and it also satisfies the anonymity of the user by using a one-time token. A proof of concept of the proposed RSA-B-ASH-S scheme is also provided.

A RSA-Biometric Based User Authentication Scheme For Smart-Homes Using Smartphone

Internet of Things (IoT) is considered as one of the emerging leading technologies that allow the mainstreaming of smart homes and smart cities in the recent years, by creating a communication system for physical objects over the Internet. In a smart home (also called push-button home automation system), devices are not necessarily homogeneous in terms of topology, security protocols, computational power and communication. This nature of the devices causes some incompatibility with conventional authentication methods and the security requirements of IoT standards. This thesis proposes an RSA-Biometric based three-factor User Authentication Scheme for Smart-Homes using Smartphone (called RSA-B-ASH-S scheme). An informal security analysis of the proposed RSA-B-ASH-S scheme is provided, along with its performance evaluation in terms of computational time, storage requirements and communication overload. Furthermore, a formal analysis of the proposed RSA-B-ASH-S scheme using the Burrows-Abadi-Needham (BAN) Logic is described, showing that the proposed scheme achieves the forward secrecy property by utilizing a fresh encryption key for each session and it also satisfies the anonymity of the user by using a one-time token. A proof of concept of the proposed RSA-B-ASH-S scheme is also provided.

Notifikasi Real-time Pada Sistem Nurse Call Nirkabel Berbasis Zigbee Menggunakan Protokol WebSocket

Sistem Nurse Call, sistem yang digunakan pasien rawat inap untuk memanggil perawat jika membutuhkan bantuan. Sistem ini sangat bermanfaat bagi pasien yang memiliki keterbatasan seperti tidak dapat bicara, tidak dapat berjalan, dan tidak ada keluarga yang berupa telepon atau tombol yang melekat pada tembok. Kelemahan sistem dengan lokasi tombol permanen adalah mobilitas, misalnya ketika pasien sedang ke kamar mandi dan terjadi hal-hal yang tidak diinginkan, pasien akan kesulitan meminta pertolongan. Maka dibutuhkan sistem Nurse Call nirkabel yang dapat dibawa kemanapun pasien pergi sehingga pasien dapat memanggil perawat dimanapun ketika dibutuhkan. Dalam penelitian ini dikembangkan sistem nurse call nirkabel berbasis zigbee menggunakan protokol websocket untuk notifikasi real-time. Tahapan pengembangan yang dilakukan: studi literatur dan observasi lapangan, pengembangan Zigbee push button dan gateway, pengembangan middleware untuk membaca data dari gateway, pengembangan aplikasi dashboard dan pelaporan. Tahapan terakhir monitoring dan evaluasi sistem yang sudah dibuat. Berdasarkan hasil pengujian yang dilakukan sistem dapat berjalan dengan baik ketika jarak antara zigbee push button dan gateway kurang dari 15 meter dan mempunyai waktu respons kurang dari 1634 milisecond.

Numerous expansions in TRP ion channel diversity highlight widespread evolution of molecular sensors in animal diversification.

Transient Potential Receptor (TRP) ion channels are a diverse superfamily of multimodal molecular sensors that respond to a wide variety of stimuli, including mechanical, chemical, and thermal. TRP channels are present in most eukaryotes but best understood in mammalian, worm, and fly genetic models, where they are expressed in diverse cell-types and commonly associated with the nervous system. Here, we characterized TRP superfamily gene and genome evolution to better understand origins and evolution of molecular sensors, brains, and behavior in animals and help advance development of novel genetic technologies, like sonogenetics. We developed a flexible push-button bioinformatic and phylogenomic pipeline, GIGANTIC, that generated genome-based gene and species trees and enabled phylogenetic characterization of challenging remote homologs and distantly-related organisms deep in evolution. We identified complete sets of TRP superfamily ion channels, with over 3000 genes in 22 animal phyla and 70 species having publicly-available sequenced genomes, including 3 unicellular outgroups. We then identified clusters of TRP family members in genomes, evaluated gene models per cluster, and repaired split gene models. We also produced whole-organism PacBio transcriptomes for five species to independently validate our gene model assessment and model repairs. We find that many TRP families exhibited numerous and often extensive expansions in different phyla. Some expansions represent local clusters on respective genomes, a trend that is likely undercounted due to varied quality in genome assemblies and annotations of non-model organisms. Our work expands known TRP diversity across animals, including addition of previously uncharacterized phyla and identification of unrecognized homologs in previously characterized species.