9 research outputs found
Features of Household Solid Waste Object Recognition on Garbage Collector Robot (GACOBOT)
Get PDFSolid waste or garbage is one of the problems that must be faced by the world's population so that life becomes more harmonious. Through a series of studies, a Garbage Collector Robot (GACOBOT) was created which is expected to help humans overcome this problem in terms of garbage collection. By adding a feature in the form of object recognition, the waste can be sorted by type so that it can be grouped and processed further. In this research, using the Support Vector Machine (SVM) classification method based on the feature extraction of the Histogram of Oriented Gradients (HOG) as the main method. Researchers used 14 pieces of data as training data and 10 pieces of data as test data. From the results of the tests that have been carried out, it has been obtained a success rate of 100% that the system has succeeded in separating waste into 2 types, namely plastic bag waste and glass bottle waste
Behavior Pattern Recognition of Game Dragon Nest Using Bloom Filter Method
Get PDFDragon Nest is one of Massively Multiplayer Online Role-playing Game (MMORPG online games. It has become the most popular online game played by people around the world. This work observes two examples of the MMORPG online games: the Dragon Nest INA and the Legend DN II. The purpose is to analyze the traffic data of the Dragon Nest to find and discern the patterns of behavior of the Dragon Nest INA and the Legend DN II using Deep Packet Inspection (DPI). A dataset is constructed by capturing traffic data from the testbed environment. Then feature extraction, feature selection, and visualization are performed during the experiments. Experiment results shows the traffic data of the Dragon Nest INA is higher than the Legend DN II. It is because of the difference in the number of entries in the game. Then, the Bloom filter method is used as a tool to check the existence of a pattern of the Dragon Nest in the dataset. The false positive rate of matching is 0.399576%
UDP Flood Attack Pattern on Internet of Things Network Dataset
No full textInvestigating UDP Flood Attack Pattern on Internet of Things Network
status: on review
Abstract: UDP does not have mechanism for retransmission when a transmitting error happens, it makes this protocol to be used as a DDoS attack tool against Internet of Things (IoTs) networks. This research work attempts to analyze the UDP Flood attacks packets dataset captured from an Io|T testbed network by Wireshark.
A feature extraction process on generated CSV file was performed and then the feature extraction result are examined to find patterns of UDP flood attack packet. Lastly, the patterns are visualized to provide easy pattern recognition
Analysis of custody transfer on moving bundle protocol of wireless router in delay tolerant network (DTN)
No full textReal Time Environmental Monitoring in Palm Oil Plantation Using Wireless Sensor Network
Get PDFThe production of the palm oil accounted for 10.15%of total palm oil production in Indonesia. Farmland monitoringsystem is designed to determine the condition of temperature andsoil moisture on oil palm plantation. In this study, we design andbuild a Wireless Sensor Network (WSN) with fitted temperatureand moisture sensors for monitoring soil quality. The process oftemperature and moisture data communication from sensor nodesto the sink using a routing protocol that named Power-EfficientGathering in Sensor Information Systems (PEGASIS). The routingprocess in the PEGASIS is the nodes will form a chain by selectinga leader node as a gateway. The development of WSN is composedof 3 nodes and 1 sink with three different scenarios. The firstscenario is placed moisture sensors on three nodes (single sensor),the second is placed the temperature sensors on three nodes (singlesensor) and the third is placed moisture sensor on two node and onenode equiped by temperature sensor (multi sensor). The evaluationof WSN communication using the PEGASIS routing protocolcompared to the direct transmission using delay, packet loss andenergy have done. The results obtained are the difference betweenthe lifetime sensor nodes between direct transmission and thepegasis is 7 minutes time difference. For the average delay ofPEGASIS and direct transmission is 31.23 and 30.92 msrespectively. All transmission in both scheme have packet loss 0%.Conclusion, the WSN has successfully implemented with longer lifetime energy using PEGASIS than direct transmission methods
Iowa History and Culture : A Bibliography of Materials Published Between 1952 and 1986, 1989
No full textThis bibliography was compiled by two reference librarians, Patricia Dawson and David Hudson with the goal of making it easier of tracking down material on Iowa history and culture. This supplements the Iowa History Reference Guide published in 1952 by William Petersen
