International Journal on Advanced Science, Engineering and Information Technology
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2006 research outputs found
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Internet of Things Based Cutting Tool Status Monitoring in a Computer Numerical Control Milling Machine
Get PDFThe Internet of Things (IoT) in the manufacturing industry shares machine data in real time. The majority of industrial data can be gathered and processed from machines and other remote IoT devices in a production system through data streaming. As sensors become smaller and more affordable, the Internet of things will attract more attention. It is possible to employ a wide range of sensors for monitoring, and with efficient open-source software, the status of the operation can be evaluated effectively. Our work aims at providing instructions for sending data (cutting tool status time) from Particle Photon devices connected to CNC milling machines to open-source software called ThingSpeak. This task is accomplished by integrating the Particle Photon device with the infrared sensor to the CNC milling machine. Three axis CNC vertical milling machine is used to manufacture the sample component. The status of the cutting tool, in this case the cutting time for each machining feature is monitored. Using infrared technology, the sensor detects whether the cutting tool is present. Particle photons measure machining time and communicate it to ThingSpeak. The ThingSpeak library will interpret the cloud information and displays it. With ThingSpeak software, we define the fields for various cutting tools and track every tool in real time. The time recorded using ThingSpeak software is found to be near to the time, which is monitored manually by the user. A major step in computer assisted process planning in manufacturing is monitoring the machining time for each cutting tool and it is successfully implemented in this research work
The Relationship between Overloading and Over Dimension of Freight Vehicle
Get PDFThe freight vehicle, as the primary mode of goods distribution, has a relatively small carrying capacity. However, it is forced to be able to meet the demand. As a result, many business actors overload their freight vehicles to reduce transportation costs. In organizing the transportation of goods, the indications are such violations in vehicle dimensions (over dimensions) in line with the business actors' vehicle overload. This study aims to determine the effect of over-size on an overload of the freight vehicle. This study's research method is a quantitative method that used a survey technique to collect the data and used the statistical method of regression and correlation as the analysis method. The study results reveal that the level of overloading at Widang weighbridge reached an average of 44.72% per day. In comparison, the level of overloading at the Losarang weighbridge reached 87.85% per day. The vehicle dimension measurement survey results showed that from 159 vehicle samples, there were 107 over-dimension vehicles in the form of length, width, and height, and there were 32 vehicles, which increased their tire size. The statistical analysis of regression and correlation tests showed that only the addition of the maximum vehicle dimensions, which had a significant effect on the overweight
Comparison of JSON and XML Data Formats in Document Stored NoSql Database Replication Processes
Get PDFThe current trend of solutions in storing large amounts of data is using the NoSQL Database. A document stored is one type of NoSQL database that uses the JavaScript Object Notation (JSON) and eXtensible Markup Language (XML) data formats in data storage. High Availability database is significant to support cloud-based applications and services. Replication is one solution to maintain the consistency of source data and target data. This study aims to determine the performance of JSON and XML data formats in the document stored NoSQL Database replication process. In this study, ArangoDB, RethinkDB, and MongoDB were chosen for use in the trial process of replication from master-server to slave-server with two different data formats, JSON and XML. Data transfer, CPU usage, memory usage, and execution time are measured in each trial. Based on research and experiments that have been carried out, the JSON data format consumes bandwidth with an average value smaller than the XML data format; this occurs in MongoDB, CouchDB, and RethinkDB. In CPU usage, JSON data format, on average, consumes less CPU compared to the XML data format. This is the case with MongoDB. While on CouchDB and RethinkDB, the average CPU usage for XML and JSON data formats does not show a significant difference. The average memory usage for the JSON data format is smaller than the XML data format. The average execution time of the XML data format a little faster than the JSON data format
RSA Over-Encryption Employing RGB Channels through a Steganography Variant
Get PDFThis study aims to provide a solution for RSA over-encryption based on steganography variant to hide sensitive information that requires security. The current study describes a software program's implementation phases that allow technicians to re-encrypt a message, first encoded using RSA cryptosystems as an extra security layer. Subsequently, this text was converted into an array of bytes stored in Red, Green, and Blue (RGB) layers of one or more generated images, which will finally be sent to the receiver. The programming recursion technique was used to determine the number of images that need to be sent and the bytes corresponding to each of them. These images were created, reorganized, and encrypted according to pre-defined rules. The security of the proposed method relies heavily on the probability theory. Each of the possible patterns that can store data is equally likely to be chosen by an attacker. The program also uses as a conceptual base the Least Significant Bit Substitution (LSB) technique, with the difference that it directly stores bytes for the RGB values of the generated image(s). Our results indicate that the re-encryption is independent of a carrier image. The number of different ways to organize the pixels and the generated images suggests an acceptable security level. Moreover, it requires a not negligible computational power to decipher the pixels' original order and the channels containing relevant information
An Automated Statechart Diagram Assessment using Semantic and Structural Similarities
Get PDFThe statechart diagram is a behavior diagram in the unified modeling language (UML) diagram. Numerous state chart diagrams are taught in computer science majors. In teaching and learning activities, the assessment process is essential. A teacher is required to be objective in assessing. However, objectivity can be affected by inconsistency and fatigue. Thus, an automatic assessment is very important. Automatic assessments can help teachers save time while assessing answers given by multiple students. By combining semantic and structural similarities, we propose a method to evaluate statechart diagrams automatically. Semantic comparison is conducted based on the lexical information from the states and transitions between the two diagrams. We then use a combination of cosine similarity, Wu palmer, and WordNet to assess the semantic similarity between the two diagrams. The structural assessment is conducted on the basis of the structure of the two diagrams using the greedy graph edit distance. The diagram structure is obtained by translating the diagram into several graphs. The graph is divided into two types of subgraphs, namely intraSim subgraph and interSim subgraph. Further, our results demonstrate that the proposed method agrees well with the state chart diagram assessed by the teacher. The agreement value between the teacher and our proposed method is an almost perfect agreement. In the assessment process, we observe that teachers see the structure of the statechart diagram instead of the lexical of the statechart diagram
The Reduction of TDS, COD, and Oil-and-Fats in Produced Water by Pre-Treatment Process Using Electrocoagulants in the Oil and Gas Industry of South Sumatra, Indonesia
Get PDFProduced water is one of the largest wastes generated by the oil and gas industry. Produced water is waste with a mixture of several organic and inorganic compounds. The increasing volume of wastewater produced in several countries this decade impacts the environment, creating its problems. Some of the produced water is treated conventionally and modernly, including physical, chemical, and biological treatment. This study uses the electrocoagulation method in treating produced water in the Talang Jimar structure of the oil and gas industry in South Sumatra, Indonesia. This study aims to determine the factors of surface area, voltage, and time of electrocoagulation in reducing COD, TDS, and oil-and-fats levels in produced water under the quality standards required by the government. The results of this study indicate the electrocoagulation process in producing the obtained water. The efficiency of electrode reduction with a surface area of 38.4 mm2 is the best COD reduction occurs at a voltage of 9 conditions of 90 minutes, reaching 88.07%. The best decrease in TDS at a voltage of 9 conditions of 90 minutes reached 31.29%. The best reduction in oil and fat occurred at a voltage of 12 of 30 minutes, reaching 96.98%. Meanwhile, the reduced efficiency of the electrode decreased with a surface area of 78 mm2; the best COD reduction occurred at a voltage of 9 conditions of 90 minutes, reaching 92.95%. The best decrease in TDS occurred at a voltage of 9 conditions of 90 minutes, reaching 36.25%. The best reduction in oil and fats occurred at voltage 12 for 90 minutes or 98.56%
Baseline Model for Electricity Generation Expansion Planning for The Philippines: A Leap Model Application
Get PDFPhilippines is one of the fastest-growing economies and most populated countries globally, greatly affecting its energy demand. The increase in demand leads to an increase in the electricity generation sector's capacity to maintain the supply-demand balance. Thus, this may lead to power shortage, high generation costs, and increased greenhouse gas emissions without proper energy planning. This study aims to create a Long-Range Energy Alternatives Planning System (LEAP)-based Baseline Model for the Philippines' generation expansion planning. The model will serve as a tool for the government and energy planners to develop a long-term generation expansion planning model. The model simulates the technological, economic and environmental aspect of the existing Philippine power generation system that can be used as a baseline for developing a Business-As-Usual Scenario and Alternative Scenario models to assess different energy policy pathways. The developed LEAP model following an independent multi-regional and national scale structure that is based on the Philippine grid and off-grid based regions showed an accurate result with the actual data. The model was able to replicate the actual power generation through the set-up of basic parameters. Development of Philippine LEAP structure; and the establishment of the demand, transformation, and resources module’s structure are based on the set of data input parameters. The baseline model developed can be used for continuing studies such as impact evaluation of energy policy for long term power generation expansion planning
Potential Landslide Detection in Kelok Sembilan Flyover Using SAR Interferometry
Get PDFKelok Sembilan flyover is located in West Sumatra-Riau province connection, Indonesia. Landslide occurs along with the connection every year. However, detecting and obtaining scientific information about the potential landslide zone in the area is difficult because it is mountainous, and there is no disaster equipment monitoring installed on it. Here, we identify the area that potential landslide using Satellite Radar SAR Synthetic Aperture Radar) technology with high accuracy until millimeter unit. Also, we showed how to observe the potential landslide with a low penetrate radar signal (C-band) and shifted polarization due to the topography in the vegetation area. The observation data is extracting from satellite Sentinel- 1A/B provided by the European Space Agency (ESA). The satellite is C-band frequency with 5.5 cm wavelength and 5 x 20-meter range-azimuth resolution. The acquisition time of SAR data is starting from October 2014 to August 2018, which is supported by 119 images. Processing the SAR data is using the Quasi-Persistent Scatterer technique to improve the number of scatterers in a non-urban area. Both ascending and descending orbit of the satellite with both VV and VH polarization were selected to confirm potential landslide detection consistency. The result of processing was validated with GPS geodetic by DGPS network configuration. Based on the QPS processing, five areas with significant land movement have been detected; one of them is collapse after ten days since the last data observation. The land movement range in the area is approximately more than 500 millimeters in four years
Preparation and Characterization of Nanocrystalline Cellulose from Cladophora sp. Algae
Get PDFNanomaterial is one of the recent technological advancements that attracts the attention of many scientists. Many advanced properties could emerge from the utilization of materials on this scale. Nanocrystalline cellulose (NCC) is a cellulose-based nanomaterial currently gaining attention because of its remarkable properties. NCC was prepared by removing the amorphous part of cellulose through acid hydrolysis. Cladophora is a type of algae with a fiber-like body, that could grow rapidly and widely available in the Indonesian coastal area, which is considered a nuisance and has no known high economic value. Cladophora can be used as an alternative source of cellulose because it has a high amount of cellulose. Cellulose could be extracted from Cladophora using 17.5% of NaOH at 100°C, 1 M sulfuric acid hydrolysis at 100°C, and bleaching with 5% hydrogen peroxide at 100°C. Nanocrystalline cellulose could be extracted by sulfuric acid hydrolysis at 100°C, with a concentration of 2 M, 3 M, and 5 M. The duration of the process for each concentration, varied for 5, 10, and 15 hours. X-Ray Diffraction (XRD), Particle Size Analyzer (PSA), Transmission Electron Microscopy (TEM), and Fourier Transform Infrared (FTIR) spectroscopy were used to characterize the resulting hydrolyzed product. The result showed that the increase in acid concentration and processing duration increased the crystallinity while decreased particle length and cellulose diameter. The highest crystallinity and smallest particle size were 96.36% and 189.2 nm, obtained by acid hydrolysis in 5 M sulfuric acid for 15 hours
Performance of Household Rice Husk Downdraft Gasifier in Vietnam: Modeling and experiment
Get PDFLack of conventional energy is one of the huge problems that challenge human beings in the next decades. The crude oil might become exhausted in the year 2050 as predicted and harm our environment. Renewable energy development is the effective approach to solve this problem in which biomass has the potential to replace crude oil and fossil fuels. Rice husk is one of the most popular biomass resources in ASEAN countries such as Vietnam, Indonesia, The Philippines, Thailand, Cambodia, and Myanmar, and other Asian countries like India. Gasification of this biomass is the first approach that there have many works conducted. Rice husk can be used to supply heating energy via directly burning or gasification. A study is necessary to see how the effects of some variables on the biomass gasification products and how to predict these products without the experiment. This paper has presented the modeling and investigation of the Vietnamese rice husk downdraft gasifier. An equilibrium modeling was developed to be used to predict the amount of biochar and syngas compositions. The modeling results showed a particularly good agreement with the experimental one. The average root means square error (RMSE) between experimental and modeling results is 1.642; 1.882; 1.445 and 1.345 in reduction temperature are 750oC; 800oC; 850oC and 900oC, respectively. Therefore, the model developed might be useful to predict the syngas composition and the biochar for rice husk gasification