articles by Sritrusta Sukaridhoto
The current air quality monitoring system cannot cover a large area, not real-time and has not im... more The current air quality monitoring system cannot cover a large area, not real-time and has not implemented big data analysis technology with high accuracy. The purpose of an integration Mobile Sensor Network and Internet of Things system is to build air quality monitoring system that able to monitor in wide coverage. This system consists of Vehicle as a Mobile Sensors Network (VaaMSN) as edge computing and Smart Environment Monitoring and Analytic in Real-time (SEMAR) cloud computing. VaaMSN is a package of air quality sensor, GPS, 4G Wi-Fi modem and single board computing. SEMAR cloud computing has a time-series database for real-time visualization, Big Data environment and analytics use the Support Vector Machines (SVM) and Decision Tree (DT) algorithm. The output from the system are maps, table, and graph visualization. The evaluation obtained from the experimental results shows that the accuracy of both algorithms reaches more than 90{\%}. However, Mean Square Error (MSE) value of SVM algorithm about 0.03076293, but DT algorithm has 10x smaller MSE value than SVM algorithm.
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Disaster multi-robot has a significant role in a disaster area to do many tasks like detection of... more Disaster multi-robot has a significant role in a disaster area to do many tasks like detection of fire, search and rescue of victims, etc. It needs to build good communication between the operator and multi-robot and among multi-robot themselves to perform their tasks quickly and efficiently. This relates with the queue message protocol system. In this research, we implemented the queue message protocol on mesh topology and integrated it on the robot platform. Recently, development of IoT (Internet of Things) Technology causes development of communication protocol. MQTT and CoAP are among the communication protocols used for IoT needs. Both protocols performance were compared when used and implemented into disaster multi-robot. We also integrated MQTT protocol and robot platform python based (UNR-PF). The result shows that MQTT protocol is easier to be implemented on to disaster multi-robot platform (UNR-PF) on mesh topology than CoAP, and that data transfer rate of MQTT protocol has data transfer rate higher than CoAP.
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As a flexible and cost-efficient scalable Internet access network, we studied architectures, prot... more As a flexible and cost-efficient scalable Internet access network, we studied architectures, protocols, and design optimizations of the Wireless Internet-access Mesh NETwork (WIMNET). WIMNET is composed of multiple access points (APs) connected through multihop wireless communications on IEEE 802.11 standards. The increasing popularity of real-time applications such as IP-phones and IP-TV means that they should be supported in WIMNET. However, the contention resolution mechanism using a random backoff-time in the CSMA/CA protocol of 802.11 standards is not sufficient for handling real-time traffic in multihop wireless communications. In this paper, we propose a Fixed Backoff-time Switching (FBS) method for the CSMA/CA protocol to improve the real-time traffic performance in WIMNET by giving the necessary activation chances to each link. We implement our proposal on the QualNet simulator, and verify its effectiveness through simulations on three network topologies with four scenarios.
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\textless}p{\textgreater}The purpose of multimedia devices development is controlling through voi... more \textless}p{\textgreater}The purpose of multimedia devices development is controlling through voice. Nowdays voice that can be recognized only in English. To overcome the issue, then recognition using Indonesian language model and accousticc model and dictionary. Automatic Speech Recognizier is build using engine CMU Sphinx with modified english language to Indonesian Language database and XBMC used as the multimedia player. The experiment is using 10 volunteers testing items based on 7 commands. The volunteers is classifiedd by the genders, 5 Male {\&} 5 female. 10 samples is taken in each command, continue with each volunteer perform 10 testing command. Each volunteer also have to try all 7 command that already provided. Based on percentage clarification table, the word ``Kanan'' had the most recognize with percentage 83{\%} while ``pilih'' is the lowest one. The word which had the most wrong clarification is ``kembali'' with percentagee 67{\%}, while the word ``kanan'' is the lowest one. From the result of Recognition Rate by male there are several command such as ``Kembali'', ``Utama'', ``Atas `` and ``Bawah'' has the low Recognition Rate. Especially for ``kembali'' cannot be recognized as the command in the female voices but in male voice that command has 4{\%} of RR this is because the command doesn't have similar word in english near to ``kembali'' so the system unrecognize the command. Also for the command ``Pilih'' using the female voice has 80{\%} of RR but for the male voice has only 4{\%} of RR. This problem is mostly because of the different voice characteristic between adult male and female which male has lower voice frequencies (from 85 to 180 Hz) than woman (165 to 255 Hz).The result of the experiment showed that each man had different number of recognition rate caused by the difference tone, pronunciation, and speed of speech. For further work needs to be done in order to improving the accouracy of the Indonesian Automatic Speech Recognition system.Keywords: Automatic Speech Recognizer, Indonesian Acoustic Model, CMU Sphinx, indonesian Language Model, Recognition Rate, XBMC.{\textless}/p{\textgreater
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Wireless mesh networks is a network which has high mobility and flexibility network. In Wireless ... more Wireless mesh networks is a network which has high mobility and flexibility network. In Wireless mesh networks nodes are free to move and able to automatically build a network connection with other nodes. High mobility, heterogeneous condition and intermittent network connectivity cause data packets drop during wireless communication and it becomes a problem in the wireless mesh networks. This condition can happen because wireless mesh networks use connectionless networking type such as IP protocol which it is not tolerant to delay. To solve this condition it is needed a technology to keep data packets when the network is disconnect. Delay tolerant technology is a technology that provides store and forward mechanism and it can prevent packet data dropping during communication. In our research, we proposed a test bed wireless mesh networks implementation by using proactive routing protocol and combining with delay tolerant technology. We used Batman-adv routing protocol and IBR-DTN on our research. We measured some particular performance aspect of networking such as packet loss, delay, and throughput of the network. We identified that delay tolerant could keep packet data from dropping better than current wireless mesh networks in the intermittent network condition. We also proved that IBR-DTN and Batman-adv could run together on the wireless mesh networks. In The experiment throughput test result of IBR-DTN was higher than Current TCP on the LoS (Line of Side) and on environment with obstacle.
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HPC (High Performance Computing) has become more popular in the last few years. With the benefits... more HPC (High Performance Computing) has become more popular in the last few years. With the benefits on high computational power, HPC has impact on industry, scientific research and educational activities. Implementing HPC as a curriculum in universities could be consuming a lot of resources because well-known HPC system are using Personal Computer or Server. By using PC as the practical moduls it is need great resources and spaces. This paper presents an innovative high performance computing cluster system to support education learning activities in HPC course with small size, low cost, and yet powerful enough. In recent years, High Performance computing usually implanted in cluster computing and require high specification computer and expensive cost. It is not efficient applying High Performance Computing in Educational research activiry such as learning in Class. Therefore, our proposed system is created with inexpensive component by using Embedded System to make High Performance Computing applicable for leaning in the class. Students involved in the construction of embedded system, built clusters from basic embedded and network components, do benchmark performance, and implement simple parallel case using the cluster. In this research we performed evaluation of embedded systems comparing with i5 PC, the results of our embedded system performance of NAS benchmark are similar with i5 PCs. We also conducted surveys about student learning satisfaction that with embedded system students are able to learn about HPC from building the system until making an application that use HPC system.
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This paper presents a heterogeneous model of real time task system with novel processing rate wor... more This paper presents a heterogeneous model of real time task system with novel processing rate work parameter. The model considers the precedence constraint with implicit deadline. Global EDF scheduling algorithm was applied on this model and analyzed in the context of its schedulability and capacity augmentation bound. By combining parallel tasks analysis upon identical multiprocessor and their processing rate upon heterogeneous system, we derived utilization augmentation, which is useful for extending capacity augmentation bound. Our experiments showed that there was a schedulable task system which is characterized by utilization augmentation upon heterogeneous system under Global EDF with capacity augmentation bound of (4-m/2)(1 + v(U-Aug)). Our model with processing rate is also useful for practical consideration.
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--- Human eyes can recognize an object just by looking at the environment; this capability is ver... more --- Human eyes can recognize an object just by looking at the environment; this capability is very useful for designing the reference of a humanoid robot with the ability for adapting to its environment. By knowing the field conditions that exist in such environments, the robot can understand the obstacles or anything that can be passed. To do that, robot's vision needs to has the knowledge to understand an obstacle that exists around it. Because of these problems, this paper shows a method for reducing the error rate of vacant space in the data depth by combining a stereo camera and structure sensor. Merging the stereo camera and structure sensor can extract depth information becomes dense. The proposed method has been successfully running the whole algorithm that already built and has a density of depth with an average error rate of vacant space is 18.10{\%}.
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Coral monitoring has become major focus to prevent coral bleaching so that various methods have b... more Coral monitoring has become major focus to prevent coral bleaching so that various methods have been developed by researchers to analyze coral reefs' health. This paper proposed a low-cost coral monitoring system based for shallow water based on IoUT architecture. The proposed system consists of buoy as base component, controller unit based on Single Board Computer equipped with 5V power source, underwater camera and communication unit to send data into cloud server. This system is able to extend WiFi signal from underwater camera by using coaxial cable and transmit image into cloud server. From experiment, we measured that reliability delay using coaxial cable to capture and save image is 5,6 seconds. Results on cloud server experiment indicate distributed server's performance is 186,6 seconds comparing to 53,6 seconds on single server. Moreover, we also have developed bleaching classification resulting 84,3{\%} correct results and an online representation model of retrieved coral images.
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Monitoring water conditions in real-time is a critical mission to preserve the water ecosystem in... more Monitoring water conditions in real-time is a critical mission to preserve the water ecosystem in maritime and archipelagic countries, such as Indonesia that is relying on the wealth of water resources. To integrate the water monitoring system into the big data technology for real-time analysis, we have engaged in the ongoing project named smart environment monitoring and analytic in real-time system (SEMAR), which provides the IoT-big data platform for water monitoring. However, SEMAR does not have an analytical system yet. This paper proposes the analytical system for water quality classification using Pollution Index method, which is an extension of SEMAR. Besides, the communication protocol is updated from REST to MQTT. Furthermore, the real-time user interface is implemented for visualisation. The evaluations confirmed that the data analytic function adopting the linear SVM and decision tree algorithms achieves more than 90{\%} for the estimation accuracy with 0.019075 for the MSE.
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A wireless sensor network (WSN) works continuously to gather information from sensors that genera... more A wireless sensor network (WSN) works continuously to gather information from sensors that generate large volumes of data to be handled and processed by applications. Current efforts in sensor networks focus more on networking and development services for a variety of applications and less on processing and integrating data from heterogeneous sensors. There is an increased need for information to become shareable across different sensors, database platforms, and applications that are not easily implemented in traditional database systems. To solve the issue of these large amounts of data from different servers and database platforms (including sensor data), a semantic sensor web service platform is needed to enable a machine to extract meaningful information from the sensor's raw data. This additionally helps to minimize and simplify data processing and to deduce new information from existing data. This paper implements a semantic web data platform (SWDP) to manage the distribution of data sensors based on the semantic database system. SWDP uses sensors for temperature, humidity, carbon monoxide, carbon dioxide, luminosity, and noise. The system uses the Sesame semantic web database for data processing and a WSN to distribute, minimize, and simplify information processing. The sensor nodes are distributed in different places to collect sensor data. The SWDP generates context information in the form of a resource description framework. The experiment results demonstrate that the SWDP is more efficient than the traditional database system in terms of memory usage and processing time.
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