International Journal on Advanced Science, Engineering and Information Technology
Not a member yet
2006 research outputs found
Sort by
Machine Learning Based Model to Identify Firewall Decisions to Improve Cyber-Defense
Get PDFA firewall system is a security system to ensure traffic control for incoming and outgoing packets passing through communication networks by applying specific decisions to improve cyber-defense and decide against malicious packets. The filtration process matches the traffic packets against predefined rules to preclude cyber threats from getting into the network. Accordingly, the firewall system proceeds with either to “allow,†“deny,†or “drop/reset†the incoming packet. This paper proposes an intelligent classification model that can be employed in the firewall systems to produce proper action for every communicated packet by analyzing packet attributes using two machine learning methods, namely, shallow neural network (SNN), and optimizable decision tree (ODT). Specifically, the proposed models have used to train and classify the Internet Firewall-2019 dataset into three classes: “allow, “deny,†and “drop/reset.†The experimental results exhibited our classification model's superiority, scoring an overall accuracy of 99.8%, and 98.5% for ODT, and SNN respectively. Besides, the suggested system was evaluated using many evaluation metrics, including confusion matrix parameters (TP, TN, FP, FN), true positive rate (TPR), false-negative rate (FNR), positive predictive value (PPV), false discovery rate (FDR), and the receiver operating characteristic (ROC) curves for the developed three-class classifier. Ultimately, the proposed system outpaced many existing up-to-date firewall classification systems in the same area of study
[RETRACTED] An Approach to Optimize the Design of Ultrasonic Transducer for Food Dehydration
No full text==========================================================Available online: 30 June 2021This article has been retracted by International Journal on Advanced Science, Engineering and Information Technology Editorial team, following clear correspondence and confirmation with authors.The article contained redundant material, the editor investigated and found that the paper published in Computational Intelligence Methods for Green Technology and Sustainable Development. GTSD 2020. Advances in Intelligent Systems and Computing, vol 1284. Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-62324-1_35, URL: https://link.springer.com/chapter/10.1007/978-3-030-62324-1_35, entitled "An Approach to Optimize the Design of Ultrasonic Transducer for Food Dehydration".The paper is retracted from 30 November 2021.==========================================================Ultrasound-assisted air-drying is considered a useful method to reduce drying time and ensure some agricultural food products' quality. In this study, a practical design method of an Ultrasonic Transducer (UT), which is in the form of a circular stepped-plate, was developed by using Particle Swarm Optimization (PSO) algorithm and Finite Element Analysis (FEA). The numerical calculation is carried out for two different geometric dimensions of the stepped-plate. Based on the obtained results, the smaller UT dimensions were chosen, and its prototypes were fabricated. The prototype's measured resonance frequency is 19.927 kHz compared to calculations getting an error of 0.073 kHz (0.37%). Also, to evaluate the effects of ultrasound on a drying process, the UT is integrated into a heat-pump drying machine for drying foods. The experiments were carried out on Codonopsis javanica using heat-pump drying method at air temperature 45 ± 0.5 °C, air humidity 18-20 %, air velocity 0.5 ± 0.1 m/s with and without ultrasonic intensity while keeping all other conditions and parameters constant. The results showed that the total drying time was reduced in the range of 25% to 42% depending on ultrasonic intensity, compared to heat-pump drying without ultrasonic intensity. The color of the dried products is also considered to testify the quality of the product when using UT in drying processes. The obtained results prove the effectiveness of the proposed approach in design of the UT for food dehydration
The Influence of Anthropogenic Activities on the Concentration of Pesticides, Physicochemical and Microbiological Properties in the Chumbao River, Andahuaylas, Perú
Get PDFThe province of Andahuaylas is located in the region of Apurimac, a Peruvian city located in the Andes. Andahuaylas has three important districts: San Jerónimo, Andahuaylas and Talavera. These areas are highly populated, and their buildings are close to the Chumbao River. This research aimed to determine the influence of anthropogenic activities on the concentration of pesticides, physicochemical and microbiological characteristics in the Chumbao River. Five agricultural activities, 19 organochlorine pesticides, and 25 organophosphorus pesticides were studied. Eighteen physicochemical properties and two microbiological properties were also studied at seven sampling points along the Chumbao River during the rainy and dry seasons. Several veterinary and agricultural products were identified in the agricultural activities studied. However, no significant concentration values of organochlorine and organophosphate pesticides were found; no weed control products were found. In the case of livestock farming, albendazole and ivermectin are frequently used as anthelmintics. Organophosphate and pyrethroid insecticides are used to control flies and other ectoparasites. Several pesticides have been identified in the surveys in the case of quinoa, potato, and corn crops. Some of the physicochemical and microbiological properties are above environmental quality standards according to current Peruvian regulations; these properties increase at points where wastewater is discharged directly into the river. The study evidenced a progressive deterioration of water quality in the Chumbao River caused by anthropic activities in the basin. These may cause infectious and parasitic diseases in the urban population of the Chumbao river valley
Glucose Lowering Effect of Brown Pigmented Rice (oryza sativa l) in Diet-Induced Hyperglycemic Sprague Dawley Rats
Get PDFThe study investigated the dietary fiber and glycemic index of the three varieties of brown pigmented rice, namely, Inpari 24, Mawar, and Segreng, and the hypoglycemic effect of the rice variety with the highest dietary fiber and low glycemic index in hyperglycemic Sprague Dawley rats. Study phases included: 1) chemical analysis such as dietary fiber and amylose content, and proximate analysis of brown pigmented rice, 2) intervention phase 1: determination of effective dose of brown pigmented rice; and 3) intervention phase 2: in vivo evaluation of hypoglycemic effects of brown pigmented rice. Segreng variety contained the highest dietary fiber and lowest glycemic index. At the end of the intervention period, the effective dose to lower the blood glucose level was 75% cooked brown pigmented rice and 25 % commercial rodent feed combination with a reduction of 54.57 %. And its reduction was comparable to the blood glucose level of rats given glibenclamide treatment (58.24 %). A significant positive correlation for blood glucose with calorie, carbohydrate, and fat was also observed. Therefore, the consumption of cooked brown pigmented rice can lower blood glucose levels in hyperglycemic Sprague Dawley rats. Furthermore, the glucose-lowering could be due to the dietary fiber and amylose content of brown pigmented rice. Further study is recommended using human subjects, and it may also be replicated using other grains like corn, adlai, sorghum, and root crops
Water Quality Prediction and Detection of the Vibrio Cholerae Bacteria
Get PDFThis document shows the results for two water quality-related trials based on the Physico-chemical characteristics given by the used dataset; both trials were carried out based on the same dataset from which the membership sets, and functions were defined the most relevant features. The first trial was a neural network method aimed to predict water quality through attributes as the pH, temperature, turbidity, salinity, among others; the second trial was a fuzzy logic system method for the detection of the Vibrio Cholerae in the water through the usual variables associated to its presence: temperature, salinity, phosphates, and nitrites' levels. The method for this research is divided into two phases. The first phase is developing suitable software using an iterative and incremental process model based on prototypes. The second phase or operative phase has an experimental characterization that allows for an adequation of the environment to establish the main features and properties that are relevant to the study object. The results showed effectiveness values of 99.99% (highest obtained value) for trial one and 70.23% for trial two; such values depict an accurate prediction on the quality of water and a valuable detection for Cholera related bacteria in water supplies. This research developed two highly interpretable and transparent systems to people through the graphic of the correspondences between the rules established and the membership functions in the input and output sets
Photoacoustic Imaging System based on Diode Laser and Condenser Microphone for Characterization of Dental Anatomy
Get PDFThe feasibility of a diode laser and condenser microphone-based photoacoustic imaging system for dental anatomy characterization has been investigated. The sample of this study was human teeth illuminated by a diode laser with a wavelength of 532 nm. The laser and detector were fixed in a static position while the sample was moved in the X-Y direction. A laser diode illuminated the sample at 17-20 kHz frequencies combined with 30%, 35%, 40%, 45%, 50%, and 55%Â of the duty cycles to investigate optimal laser irradiation for dental anatomy imaging. The acoustic intensity was measured ten times to investigate the characterization of dental anatomical structure, i.e., enamel, dentin, and pulp. The sample was then scanned using the system to determine the characterization of the dental structure in the photoacoustic image. The results of this study reveal that the optimal frequency and duty cycle of laser exposure to produce the photoacoustic image of the sample are 19 kHz and 50%, respectively. The maximum acoustic intensities of enamel, dentin and pulp are -71,8 dB, -70,8 dB, -70,5 dB, respectively. Whereas the minimum acoustic intensities of enamel, dentin and pulp are -72,0 dB, -70,9 dB, -70,6 dB respectively. In this study, a photoacoustic imaging system based on a diode laser and a condenser microphone can generate photoacoustic images of dental anatomical structures. The optical absorption of pulp is stronger than the dentin and enamel layer. Hence the pulp area emits the highest acoustic intensity and emerges as a red area in the photoacoustic image
Measurement Model on Community Farmer for Agriculture Cluster Development
Get PDFCommunity entrepreneurship (CE) is an established synergetic network between the community and social entrepreneurship. CE in agricultural cluster area development (ACD), which is based on small-medium enterprise (SMEs) comprises the collaborative engagement between farmer community, agribusiness cluster, and common resources. This research aims to analyze CE performance in ACD based on SMES through emerging CE variables and how to manage CE’s variables most effectively. This study contributes to the enhancement of CE performance in ACD. It also contributes to the methodology through the community effectiveness entrepreneurship index (CEEI). CEEI is a model to measure CE in ACD. It is an average score of 30 indicators from CE functions: collective innovation, collective supply chain management, collective accessibility to economic resources and opportunities, profit accumulation, and benefit-sharing. Using a factor analysis validation, CEEI has been applied to farmer groups in Lembah Gumanti subdistrict, Solok regency, West Sumatra province, Indonesia as a pilot test. The results indicated constructing the measured performance of CE in ACD identified CE performance supported by all CE variables. There are three CE effectiveness categories in ACD; strong (4), fair (3), and weak. Primarily, the management has yet been effective for CE variables. This is because the majority of CE is still not managed by non-social business communities. Community social businesses are better at managing synergies with the dimensions of collective action for innovation, SCM, accessibility, profits, and benefit-sharing
The Potency of Biomass and Carbon Stocks under Agroforestry Dusung Areas in Maluku Indonesia
Get PDFThe increasing carbon emission caused by human and industrial activity has a destructive impact on earth. Agroforestry as one of model in forest management has played an essential role in carbon sequestration through vegetation growth. Information about the potency of biomass is important to evaluate carbon stock in the forest. The study was conducted to determine the potential of stored biomass and carbon stocks managed by the Dusung of agroforestry Toisapu Negeri Hutumuri, Sirimau Protected Forest in Ambon. The study was conducted using nondestructive method in three main plots (PU) for observing vegetation at the level of poles, trees, understorey, litter, and dead organics. Observation parameters include plant biomass stocks and carbon stocks potency. The calculations for tree and pole level biomass stocks were 50.78 kg /m2, the understory was 0.26 kg/m2, litter 4.343 was kg / m2, and dead organics was 4.41 kg/m2. Assuming the amount of carbon uptake of 46%, the amount of carbon stored for trees and poles is 233.58 tons C/ha, the understorey is 1.196 tons C/ha, litter is 19.977 tons C/ha, dead organics are 20.286 tons C/ha, and soil has 0.044 tons/ha. The total value of carbon stocks stored above the soil surface in the agroforestry Dusung system in Ambon is 275. 092 tons C/ha and its good contribution on mitigation of climate change. Â
Screening of Potential Tannase-producing Fungi from Local Agri-industrial By-products using a Plate Assay and Submerged Fermentation
Get PDFTannase (Tannin Acyl Hydrolase EC 3.1.1.20) is an industrial inducible enzyme capable of hydrolyzing hydrolyzable tannin ester linkage gallotannin and ellagitannin, producing gallic acid and glucose. Tannase is extensively used in the pharmaceutical, chemical, cosmetics, textile, leather, food, feed, and beverage industries. In the beverage industry, tannase is used as a clarifying agent to clarify tannin present in coffee, coffee-flavored soft drinks, tea, and fruit juices by removing phenolic compounds. In the pharmaceutical industry, tannase is used to produce gallic acid, an intermediary compound in the production of antibacterial drug, trimethoprim, while in the food industry, tannase is used to synthesize crucial antioxidant food preservative propyl gallate (3,4,5-trihydroxybenzoate). Most of the tannase production utilizes bacteria such as Bacillus sp. as tannase producer under submerged fermentation, SmF. Despite the immense industrial potential of tannase, it has not fully been exploited due to lack of knowledge, and fewer studies reported filamentous fungi for tannase production. This study aimed to screen potential tannase-producing fungi from various agri-industrial by-products such as rice by-products, spent tea, spent coffee ground, banana peels, mango peels, desiccated coconut residue, soybean residue, sweet potato peels, and onions. Fungal isolate, J1 (Aspergillus niger) was identified as the efficient tannase-producing fungus due to the hydrolytic zone's largest diameter (60.7 ± 0.6) mm. It achieved high tannase activity with (6.86 ± 0.04) U/ml in submerged fermentation, SmF. In conclusion, filamentous fungi isolated from agri-industrial by-products have huge potential as an efficient tannase producer
Steganography on Digital Color Image Using Modulo Function and Pseudo-Random Number Generator
Get PDFIn this era, many people exchange data digitally either through the internet or other communication channels. However, data sent digitally can be seen by unauthorized people. Therefore, data security is essential. One of the data security techniques is steganography. This study employs steganography based on Pixel Value Modification (PVM) method using the modulo function. This technique will be implemented to insert a text message in digital images in RGB color space. Besides, we use the Pseudo-Random Number Generator with a secret key to enhance the inserted messages’ security. To measure the performance of the proposed method, testing is carried out by comparing the stego image to cover image based on three criteria, namely imperceptibility, fidelity, and recovery. PVM method using modulo function successfully hides text that the length is less than 200 characters into 255×255-pixel color images. Imperceptibility testing is done by distributing a questionnaire to six people randomly. The results showed that all respondents answered that each test image's stego image and cover image had no difference. At the same time, the results of the fidelity test show that the MSE value is close to zero, and the PSNR value is above 40 dB. Furthermore, recovery testing will check whether the extracted message is the same as the secret message inserted in the cover image. The results showed that all messages inserted were extracted correctly for recovery criteria if given the correct secret key