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24,371 Article Results

An innovative and efficient approach for searching and selecting web services operations

10.11591/ijece.v15i1.pp827-835
Sara Rekkal , Kahina Rekkal
The marketing of web services on the internet continues to increase, resulting in an increasing number of web services and, therefore, operations offering equivalent functionalities. As a consequence, finding an appropriate web service (operation) for a particular task has become a difficult challenge, taking a lot of time and leading to an insufficient selection of relevant services. This work aims to propose a new approach facilitating the search and localization of relevant web services (operations) in an acceptable time while ensuring the totality of the response. This approach is divided into three crucial phases. The first step involves collecting web services from various universal description, discovery, and integration (UDDI) registries and different domains and forming specialized sub-registries. The second phase involves the extraction of operations from various services, followed by a similarity study whose goal is the formation of clusters of similar operations. The third phase processes user requests by identifying the desired features. A list of operations is then provided to the client, including the non-functional properties, from which they select the one that best meets their needs and begin to invoke it.
Volume: 15
Issue: 1
Page: 827-835
Publish at: 2025-02-01

Narrative review of the literature: application of mechanical self powered sensors for continuous surveillance of heart functions

10.11591/ijece.v15i1.pp243-251
Hamza Abu Owida , Jamal I. Al-Nabulsi , Nidal Turab , Muhammad Al-Ayyad , Nour Al Hawamdeh , Nawaf Alshdaifat
Cardiovascular disease consistently occupies a prominent position among the leading global causes of mortality. Continuous and real-time monitoring of cardiovascular signs over an extended duration is necessary to identify irregularities and prompt timely intervention. Due to this reason, researchers have invested heavily in developing adaptive sensors that may be worn or implanted and continuously monitor numerous vital physiological characteristics. Mechanical sensors represent a category of devices capable of precisely capturing the temporal variations in pressure within the heart and arteries. Mechanical sensors possess inherent advantages such as exceptional precision and a wide range of adaptability. This article examines four distinct mechanical sensor technologies that rely on capacitive, piezoresistive, piezoelectric, and triboelectric principles. These technologies show great potential as novel approaches for monitoring the cardiovascular system. The subsequent section provides a comprehensive analysis of the biomechanical components of the cardiovascular system, accompanied by an in-depth examination of the methods employed to monitor these intricate systems. These systems measure blood and endocardial pressure, pulse wave, and heart rhythm. Finally, we discuss the potential benefits of continuing health monitoring in vascular disease treatment and the challenges of integrating it into clinical settings.
Volume: 15
Issue: 1
Page: 243-251
Publish at: 2025-02-01

Modelling and controlling outputs of nonlinear systems using feedback

10.11591/ijece.v15i1.pp540-549
Gulnaz Bahadirova , Nurbolat Tasbolatuly , Akerke Akanova , Gulzhan Muratova , Anar Sadykova
This study aimed to analyze methods for modeling and controlling the output of nonlinear systems using feedback, analytical methods, mathematical modeling, and differential equation theory. Key findings include the mathematical characterization of equations and the analysis of system stability and asymptotic behavior. The study explored various methods for addressing problems in nonlinear systems, emphasizing the importance of identifying effective solutions. The research highlights the significance of developing effective approaches to solving complex problems involving nonlinear systems. Feedback is essential for controlling and correcting dynamic processes in systems with nonlinearities. The study’s key finding is the mathematical characterization of equations describing nonlinear systems, providing insight into system structure and behavior under different parameters. Analyzing stability and asymptotic behavior allows for assessing system reliability and predicting long-term stability. This study contributes to the scientific understanding and development of methods for modeling and controlling nonlinear systems using feedback.
Volume: 15
Issue: 1
Page: 540-549
Publish at: 2025-02-01

Analysis of big data from New York taxi trip 2023: revenue prediction using ordinary least squares solution and limited-memory Broyden-Fletcher-Goldfarb-Shanno algorithms

10.11591/ijece.v15i1.pp711-718
Sara Rhouas , Norelislam El Hami
This study explores the prediction of taxi trip fares using two linear regression methods: normal equations (ordinary least squares solution (OLS)) and limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS). Utilizing a dataset of New York City yellow taxi trips from 2023, the analysis involves data cleaning, feature engineering, and model training. The data consists of over 12 million records, managed, and processed that involves configuring the Spark driver and executor memory to efficiently process the Parquet-format data stored on hadoop distributed file system (HDFS). Key features influencing fare amount, such as passenger count, trip distance, fare amount, and tip amount, were analyzed for correlation. Models were trained on an 80-20 train-test split, and their performance was evaluated using root-mean-square error (RMSE) and mean squared error (MSE). Results show that both methods provide comparable accuracy, with slight differences in coefficients and training time. Additionally, vendor performance metrics, including total trips, average trip distance, fare amount, and tip amount, were analyzed to reveal trends and inform strategic decisions for fleet management. This comprehensive analysis demonstrates the efficacy of linear regression techniques in predicting taxi fares and offers valuable insights for optimizing taxi operations.
Volume: 15
Issue: 1
Page: 711-718
Publish at: 2025-02-01

Estimation of the required number of nodes of a university cloud virtualization cluster

10.11591/ijece.v15i1.pp580-591
Bakhytzhan Akhmetov , Valery Lakhno , Nurzhamal Oshanova , Zhuldyz Alimseitova , Madina Bereke , Nurgul Izbasova
When designing a virtual desktop infrastructure (VDI) for a university or inter-university cloud, developers must overcome many complex technical challenges. One of these tasks is estimating the required number of virtualization cluster nodes. Such nodes host virtual machines for users. These virtual machines can be used by students and teachers to complete academic assignments or research work. Another task that arises in the VDI design process is the problem of algorithmizing the placement of virtual machines in a computer network. In this case, optimal placement of virtual machines will reduce the number of computer nodes without affecting functionality. And this, ultimately, helps to reduce the cost of such a solution, which is important for educational institutions. The article proposes a model for estimating the required number of virtualization cluster nodes. The proposed model is based on a combined approach, which involves jointly solving the problem of optimal packaging and finding the configuration of server platforms of a private university cloud using a genetic algorithm. The model introduced in this research is universal. It can be used in the design of university cloud systems for different purposes-for example, educational systems or inter-university scientific laboratory management systems.
Volume: 15
Issue: 1
Page: 580-591
Publish at: 2025-02-01

Optimizing power consumption in novel electrical design for single ended comparator circuit

10.11591/ijece.v15i1.pp208-223
Fadi Nessir Zghoul , Wafaa Migdadi , Mamoun Al-Mistarihi
Contemporary society electronic technology has evolved into a pivotal component across various facets of our lives. Its indispensability is particularly evident in the advancement of medical, agricultural, industrial, and other sectors. As this technology continues to play a crucial role, optimizing its performance in terms of speed, accuracy, and energy consumption becomes paramount. This paper introduces a novel electrical design for the threshold inverter quantization comparator circuit aiming to meet the evolving demands of modern electronic applications. The proposed design enhances the classic threshold inverter quantization comparator’s performance by significantly reducing its power consumption. Through rigorous mathematical analysis and simulation results it is demonstrated that the proposed comparator design achieves a remarkable 50% reduction in power consumption compared to the conventional threshold inverter quantization comparator. Subsequently the newly devised design is applied to the construction of a 4-bit flash analog-to-digital converter using 0.35 μm complementary metal–oxide–semiconductor (CMOS) technology.
Volume: 15
Issue: 1
Page: 208-223
Publish at: 2025-02-01

Wireless sensor networks based efficient drip irrigation monitoring systems

10.11591/ijece.v15i1.pp677-688
Karthik Sagar Ashok , Basavaraj Gangasamudra Nagendrappa , Mohan Bangalore Anjaneyalu , Priya Nandihal , Veena Narayana Reddy , Liyakathunisa Syed , Ayman Noor
Cotton has profound significance in the textile industry due to its versatility, comfort and ease of care. But the main problem with conventional cotton farming is that it uses more water. These issues are made more difficult by conventional irrigation methods, such as drip irrigation. To address this problem researchers are using traditional farming techniques with advanced wireless sensor network (WSN) protocols to resolve catastrophic issues, such as pipe bursts or blocked emitters which are detected early to save the water. This paper introduces efficient WSN architecture using priority-based directed information sharing (DIS) protocol for efficient utilization of water. The proposed architecture was implemented using TinyOS sensor network (TOSSIM) simulators. Exceptional quality of service (QoS) is achieved using new routing protocol exclusively for catastrophic failures. The proposed architecture is compared with standard protocols such as topology geographic greedy forwarding (TPGF), link carrier sense avoidance (LinkCSA) and tiny carrier sense avoidance (TinyCSA). Due to implementation optimized priority, DIS latency has been reduced from 11.3% to 11.02% and packet delivery ratio (PDR) is enhanced by 35% to 78% concerning benchmark protocols. The experimental results proves drastic improvement in PDR and delay performance as compared to the existing WSN protocol.
Volume: 15
Issue: 1
Page: 677-688
Publish at: 2025-02-01

Enhanced global navigation satellite system signal processing using field programmable gate array and system-on-chip based software receivers

10.11591/ijece.v15i1.pp480-492
Chetna Devi Kh , Malode Vishwanatha Panduranga Rao
This paper presents a new approach to improving global navigation satellite system (GNSS) signal processing by using baseband processing techniques on field-programmable gate array (FPGA) platforms and a system-on-chip (SoC)-based GNSS software receiver. By leveraging the flexibility and computational power of FPGAs and the integration capabilities of SoC platforms, the method significantly enhances signal acquisition, tracking accuracy, and overall system performance. The integration of the ADFMCOMMS3-EBZ RF front end with the Zynq 7000 SoC board, along with high-speed parallel I/O and serial peripheral interface (SPI) for data management and configuration, enables efficient processing of high-speed signals. The study also explores wavelet transform techniques, such as the discrete wavelet transform (DWT), to improve filtering and noise reduction in GNSS signals. The results show that the proposed baseband processing algorithm for GNSS software-defined radio (SDR) reduces acquisition time and enhances tracking accuracy compared to traditional personal computer (PC)-based systems. Additionally, the SoC-based receiver is more energy-efficient and uses fewer resources. Comparative analysis shows that the proposed method provides more received samples, fewer dropped samples, and a lower data loss rate, confirming its effectiveness in boosting GNSS signal processing reliability and efficiency.
Volume: 15
Issue: 1
Page: 480-492
Publish at: 2025-02-01

Modeling of Glugur Substation grounding systems using MATLAB graphical user interface

10.11591/ijece.v15i1.pp15-23
Indra Roza , Yoga Tri Nugraha , Rizkha Rida , Muhammad Irwanto , Mohd. Azlishah Othman
The grounding system in substations generally uses electrode rods, because electrodes can affect the effectiveness of fault current conduction, so the equipment will be safer. Considering the importance of the grounding system, the installed grounding system must be considered and maintained properly. One of them is the grounding found in Glugur. The main objective of this research is to comprehensively evaluate the substation grounding system by modeling the grounding system at the Glugur Substation using MATLAB graphical user interface (GUI). The grounding resistance follows a grid system with an area of 20×15=300 m² with specific resistance being clay using 100 rod electrodes. From the results of ground resistance simulation modeling using MATLAB GUI, it can be concluded as follows: for a certain resistance value, the number of electrodes for 100 Ωm is 3.55 Ω, for ground resistance with a constant depth and a varying number of 100 electrodes, it is 3.45 Ω, and for. The grounding resistance with a constant and varying number of 1,000 rods is obtained at 2.65 Ω. From these results, the modeling carried out is in accordance with the standards of electricity regulations in Indonesia.
Volume: 15
Issue: 1
Page: 15-23
Publish at: 2025-02-01

Transmission line sag and magnetic field analysis with sag parabolic equations and Biot-Savart law

10.11591/ijece.v15i1.pp76-88
Matiullah Ahsan , Md Nor Ramdon Baharom , Zainab Zainal , Omar Abu Hassan , Faridah Hanim , Saufi Kamarudin , Rahisham Abd Rahman , Mohd Fairouz Mohd Yousof , Nor Akmal Mohd Jamail , Nordiana Azlin Othman
This study presents a novel approach to enhance the precision of calculating sag and magnetic fields beneath overhead transmission lines. The Biot-Savart law is integrated with parabolic equations to assign multiple magnetic field sources to each conductor, resulting in improved prediction accuracy. Addressing oversimplifications in traditional models improves the analysis of transmission lines in real-world scenarios. An analysis was performed using MATLAB and Simulink to validate the effectiveness and broad applicability of different configurations. The results demonstrated a significant improvement in precision compared to traditional methods, indicating that this approach has the potential to establish new benchmarks in the field. This methodology makes significant contributions to electromagnetic studies, offering engineers a reliable tool for designing transmission systems that are both safer and more efficient. This advancement in electrical engineering greatly improves transmission network performance by enhancing sag and magnetic field prediction accuracy. This aids in better maintenance planning and reduces outage risks, resulting in more efficient operations and improved overall performance.
Volume: 15
Issue: 1
Page: 76-88
Publish at: 2025-02-01

Hybrid optimization algorithm for analysis of influence propagation in social network

10.11591/ijece.v15i1.pp624-634
Akshata Sandeep Bhayyar , Kiran Purushotham
Influence maximization(IM) is defined as the problem of identifying a node subset in a social network which increases the spread of influence. IM plays a crucial role in social networks by catalyzing the dissemination of influence, resulting in an augmented count of influenced nodes following the propagation process. The existing researches mainly concentrated on increasing the spread of influence, but did not consider the running time of the network. In this manuscript, the salp swarm algorithm (SSA) and bi-adaptive strategy particle swarm optimization (BiAS-PSO) algorithms are integrated and named as SS-BiAS-PSO algorithm to increase the spread of influence based on the IM problem to minimize the running time of the network. The datasets utilized for the research are Ego-Facebook, Epinions, Gowalla, and HepTh, while linear threshold (LT) is utilized as a diffusion method. Then, the proposed SS-BiAS-PSO algorithm is deployed for the analysis of influence propagation. The proposed algorithm reaches a high influence spread of 645, 680, 715, and 750 with less running times respectively for 10, 20, 30, and 40 seed set sizes in Ego-Facebook. The proposed algorithm proves more effective than the existing techniques like traditional SSA and particle swarm optimization (PSO).
Volume: 15
Issue: 1
Page: 624-634
Publish at: 2025-02-01

Design of a road marking violation detection system at railway level crossings

10.11591/ijece.v15i1.pp883-893
Helfy Susilawati , Sifa Nurpadillah , Wahju Sediono , Agung Ihwan Nurdin
When a train passed through a railway-level crossing, a common phenomenon was that many vehicles attempted to overtake others by crossing into lanes designated for oncoming traffic, resulting in both roads becoming congested with motorized vehicles. At that time, no system was in place to enforce penalties for violating road markings at level crossings. Therefore, a system capable of detecting such violations when trains pass through was needed. The designed system utilized a Raspberry Pi 4, a webcam, and an ultrasonic sensor. The single shot detector (SSD) method was employed for vehicle classification. The optical character recognition (OCR) method was used for character recognition on license plates. The research involved object detection at level crossings using varied objects (cars and motorcycles) with license plates categorized into two types: white background plates with black numbers and black background plates with white numbers. Based on the research results, turning on the webcam when the bar opened and closed using an ultrasonic sensor got an average error of 0.573% and 0.582%. The system could distinguish objects with an average recognition delay of 0.554 seconds and 0.702 seconds for car and motorbike objects. Regarding number plate detection, the success rate of character recognition stood at 64.45%.
Volume: 15
Issue: 1
Page: 883-893
Publish at: 2025-02-01

Control of an aquaponic system to improve the yield of gray tilapia and lettuce cultivation

10.11591/ijece.v15i1.pp505-519
Juan Herber Grados Gamarra , Santiago Linder Rubiños Jimenez , Rojas Salazar Arcelia Olga , Eduardo Nelson Chávez Gallegos , Linett Angélica Velasquez Jimenez , Robert Julio Contreras Rivera , Mario Alberto Garcia Perez
Water quality assessment presents challenges, primarily the paucity of available data and ongoing system maintenance. This research develops an automated monitoring and control of water quality parameters in aquaponic systems with internet of thing (IoT) technology. Proper fish feeding management is important, which is why the fish were fed at 12:00, 16:00 and 07:00. The most significant relative error recorded during the validation of the DS18B20, PH-4502C, SEN0244, SEN0237-A, SEN0189 and DFR0300 sensors is 5.0%. The maximum standard deviation between the mentioned sensors was 1.96, and the highest coefficient of variation reached 7.24%. Before the installation of the aquaponic system, the specific growth rate (SGR) of fish was 4.89±0.17% and after implementing the automated aquaponics system, the SGR of fish increased to 6.21±0.24%. The feed conversion ratio values of the fish, both before and after the installation of the control system, were 1.98±0.14% and 1.53±0.09%, respectively. In addition, an improvement in plant growth was observed, evidenced by the difference in the values of height, number of leaves, leaf length, and weight of the plants before and after the installation of the control system, which was 7.74 cm, 5 leaves, 5.6 cm, and 41.6 g respectively.
Volume: 15
Issue: 1
Page: 505-519
Publish at: 2025-02-01

Towards optimal fillet portioning: a computer vision system for determining the fish fillet volume

10.11591/ijece.v15i1.pp550-558
Chanh-Nghiem Nguyen , Ngọc-Tan Vo , Ngoc-Thanh Nguyen , Nhut-Thanh Tran , Chi-Ngon Nguyen
Portioning large fish fillets for packaging is usually performed manually by skilled workers. Automating this process and obtaining packaged products with attractive shapes and affordable weights will be beneficial for promoting purchase decisions. Towards developing an automated fish fillet portioning system, this study investigated a computer vision approach for determining the fillet volume. A belt conveyor would transport a fish fillet to the image capture booth, where its cross-section areas would be calculated for volume determination. The developed system could be operated with a conveyor speed ranging from 7.5 to 30.6 mm/s. The system performance was evaluated at a conveyor speed of 7.5 mm/s using small catfish fillets from 142.2 to 225.4 cm3. A mean percent error of 9.2% was observed, and the smallest percent error of 3.8% was obtained with a 225.4 cm3 fillet. With minor measurement errors obtained for larger fillets, the proposed computer vision system showed great potential for developing a cost-effective automated system for customized fish fillet partitioning to accelerate purchase decisions and also for quality control and classification of the fish fillets.
Volume: 15
Issue: 1
Page: 550-558
Publish at: 2025-02-01

Real-time paddy grain drying and monitoring system using long range-internet of things

10.11591/ijece.v15i1.pp448-454
Ayong Hiendro , Syaifurrahman Syaifurrahman , F. Trias Pontia Wigyarianto , Fitriah Husin
Grain drying environmental parameters are an important issue throughout the paddy grain production process. A real-time monitoring system requires rapid, online, and accurate measurement results. In the paddy grain drying process, the heated air velocity, temperature, relative humidity, and moisture content have to be carefully monitored and maintained to ensure product quality and safety. This study aimed to propose a real-time paddy grain drying and monitoring system using a long-range internet of things (LoRa-IoT). The real-time monitoring system consisted of sensors, LoRa, and IoT platforms. The LoRa end node and gateway were utilized as a wireless radio communication platform of IoT for long-distance signal transmission. From the experiment, the gateway received data from the end node at a distance of 2 km with a time on air (ToA) of 981 ms. As a result, the proposed monitoring system succeeded in measuring and recording the heated air velocity, temperature, and relative humidity data during the paddy grain drying process from 25% moisture content down to 14%. Regarding moisture content, the accuracy of real-time monitoring information was confirmed with a direct measurement method, resulting in a root mean square error (RMSE) of 6.17%.
Volume: 15
Issue: 1
Page: 448-454
Publish at: 2025-02-01
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