Epileptic focus localization plays a crucial role in the diagnosis and treatment of epilepsy. Convolutional Neural Networks (CNNs) have exhibited promising outcomes in automatically detecting epileptic focus through the analysis of intracranial electroencephalogram (iEEG) signals. However, the limited availability of labeled iEEG dataset, which require specialist annotations, has constrained the effectiveness of CNNs. In this study, data augmentation techniques, including time shifting, amplitude scaling and noise addition, were employed to enhance the diversity and information content of the data. These techniques aimed to enable machine learning models to extract features from various aspects of iEEG data, thereby improving the accuracy of the models. Three deep learning models, namely DeepConvNet, ShallowConvNet and EEGNet, were introduced for the identification of epileptic foci. To evaluate the proposed methods, the Bern-Barcelona iEEG dataset was utilized. The experimental results demonstrated that the augmented dataset, formed by applying the three data augmentation techniques, achieved higher accuracies across all three deep learning models compared to the original dataset. This finding underscores the feasibility and efficacy of the proposed data augmentation and feature extraction methods in automated epilepsy detection.
{"title":"iEEG Signal Data Augmentation in Convolutional Neural Networks for Epileptic Focus Localization","authors":"Ruixuan Chen, Linfeng Sui, Mo Xia, Jianting Cao","doi":"10.24297/ijct.v23i.9482","DOIUrl":"https://doi.org/10.24297/ijct.v23i.9482","url":null,"abstract":"Epileptic focus localization plays a crucial role in the diagnosis and treatment of epilepsy. Convolutional Neural Networks (CNNs) have exhibited promising outcomes in automatically detecting epileptic focus through the analysis of intracranial electroencephalogram (iEEG) signals. However, the limited availability of labeled iEEG dataset, which require specialist annotations, has constrained the effectiveness of CNNs. In this study, data augmentation techniques, including time shifting, amplitude scaling and noise addition, were employed to enhance the diversity and information content of the data. These techniques aimed to enable machine learning models to extract features from various aspects of iEEG data, thereby improving the accuracy of the models. Three deep learning models, namely DeepConvNet, ShallowConvNet and EEGNet, were introduced for the identification of epileptic foci. To evaluate the proposed methods, the Bern-Barcelona iEEG dataset was utilized. The experimental results demonstrated that the augmented dataset, formed by applying the three data augmentation techniques, achieved higher accuracies across all three deep learning models compared to the original dataset. This finding underscores the feasibility and efficacy of the proposed data augmentation and feature extraction methods in automated epilepsy detection.","PeriodicalId":210853,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114038579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study presents a method for estimating the latency of each LLVM-IR instruction to enable effective parallelization in model-based development. In recent embedded systems, such as in-vehicle electronic control, multi-many-core processors are utilized for the hardware, and model-based development for software. In the design of these systems, the degree of parallelism in the software and accuracy of performance estimation in the early design stages of the model-based development can be improved by estimating the performance of the blocks in the models and utilizing the estimate for parallelization. Research is therefore being performed on a software performance estimation technique that uses IEEE2804-2019 hardware feature description called Software-Hardware Interface for Multi-many-core (SHIM). In SHIM, each LLVM-IR instruction is associated with an execution cycle of the target processor. Several types of assembly instruction sequences are generated for the target processor from a given LLVM-IR instruction; thus, it is not easy to estimate the number of execution cycles. In this study, we propose a method that uses deep neural networks to estimate execution cycles for each LLVM-IR instruction. It can be observed that our method obtains a better estimation of LLVM-IR instruction latency compared with previous methods in experiments using the Raspberry Pi3 Model B+.
本研究提出了一种估计每个LLVM-IR指令延迟的方法，以实现基于模型的开发中的有效并行化。在现代嵌入式系统中，如车载电子控制，硬件采用多核处理器，软件采用基于模型的开发。在这些系统的设计中，可以通过估计模型中块的性能并利用估计并行化来提高软件的并行度和基于模型开发的早期设计阶段性能估计的准确性。因此，正在研究一种软件性能评估技术，该技术使用IEEE2804-2019硬件功能描述，称为多核软硬件接口(SHIM)。在SHIM中，每个LLVM-IR指令与目标处理器的一个执行周期相关联。从给定的LLVM-IR指令为目标处理器生成几种类型的汇编指令序列;因此，估计执行周期的数量并不容易。在这项研究中，我们提出了一种使用深度神经网络来估计每个LLVM-IR指令的执行周期的方法。可以观察到，在使用Raspberry Pi3 Model B+的实验中，我们的方法比以前的方法获得了更好的LLVM-IR指令延迟估计。
{"title":"LLVM-IR Instruction Latency Estimation Using Deep Neural Networks for a Software–Hardware Interface for Multi-Many-Cores","authors":"Hiroki Mikami, Seira Iwai, M. Edahiro","doi":"10.24297/ijct.v23i.9472","DOIUrl":"https://doi.org/10.24297/ijct.v23i.9472","url":null,"abstract":"\u0000This study presents a method for estimating the latency of each LLVM-IR instruction to enable effective parallelization in model-based development. In recent embedded systems, such as in-vehicle electronic control, multi-many-core processors are utilized for the hardware, and model-based development for software. In the design of these systems, the degree of parallelism in the software and accuracy of performance estimation in the early design stages of the model-based development can be improved by estimating the performance of the blocks in the models and utilizing the estimate for parallelization. Research is therefore being performed on a software performance estimation technique that uses IEEE2804-2019 hardware feature description called Software-Hardware Interface for Multi-many-core (SHIM). In SHIM, each LLVM-IR instruction is associated with an execution cycle of the target processor. Several types of assembly instruction sequences are generated for the target processor from a given LLVM-IR instruction; thus, it is not easy to estimate the number of execution cycles. In this study, we propose a method that uses deep neural networks to estimate execution cycles for each LLVM-IR instruction. It can be observed that our method obtains a better estimation of LLVM-IR instruction latency compared with previous methods in experiments using the Raspberry Pi3 Model B+.\u0000","PeriodicalId":210853,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124971715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Every discussion of quantum computing starts with wave-particle duality, to explain how qubits differ from bits. But what if wave-particle duality were wrong? How would we explain quantum computing then? A little-known science called the Theory of Elementary Waves (TEW) says that quantum particles follow zero-energy waves backwards. Wave-particle duality cannot be true if waves and particles travel in opposite directions. This article proposes the first-ever TEW theory of quantum circuits. Elementary waves emanate from measuring devices and travel backwards through the circuits, whereas qubits move forwards through the wires and gates following those waves backwards. Quantum computers are known to be reversible. After we present that way-of-thinking, we will explain some of the evidence that TEW is valid. There is a mountain of empirical evidence from outside information technology. TEW is a maverick theory, out-of-step with the consensus about how quantum computers work. At first TEW sounds counterintuitive. Its advantage is Occam’s Razor: we present a simpler explanation of quantum circuits. We will present the quantum computer equivalent of saying that before the box is open Schrödinger’s cat is already dead or alive, but not both. Observing the cat simply tells us what was already true before we looked.
{"title":"An Unprecedented View of Quantum Computers","authors":"Author: Jeffrey H. Boyd","doi":"10.24297/ijct.v23i.9371","DOIUrl":"https://doi.org/10.24297/ijct.v23i.9371","url":null,"abstract":"Every discussion of quantum computing starts with wave-particle duality, to explain how qubits differ from bits. But what if wave-particle duality were wrong? How would we explain quantum computing then? A little-known science called the Theory of Elementary Waves (TEW) says that quantum particles follow zero-energy waves backwards. Wave-particle duality cannot be true if waves and particles travel in opposite directions. This article proposes the first-ever TEW theory of quantum circuits. Elementary waves emanate from measuring devices and travel backwards through the circuits, whereas qubits move forwards through the wires and gates following those waves backwards. Quantum computers are known to be reversible. After we present that way-of-thinking, we will explain some of the evidence that TEW is valid. There is a mountain of empirical evidence from outside information technology. TEW is a maverick theory, out-of-step with the consensus about how quantum computers work. At first TEW sounds counterintuitive. Its advantage is Occam’s Razor: we present a simpler explanation of quantum circuits. We will present the quantum computer equivalent of saying that before the box is open Schrödinger’s cat is already dead or alive, but not both. Observing the cat simply tells us what was already true before we looked.","PeriodicalId":210853,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132209874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zinab M. Maatoug, Hana N. Albibas, Bashir W. Sharif, A. M. Awin
Viscous stability criterion in a thin layer on a rotating sphere is studied. The case when the fluid is inviscid was explained by Watson in 1981, the work was motivated by the idea suggested by Drazin and Ried in their celebrated text "Hydrodynamic Stability"; here we will investigate the model worked out by B. Sherif and C. Jones in the year 2005, and show the necessary condition for instability which depends on the energy that is provided by the shear motion of the fluid in spherical thin layer.
{"title":"Viscous Stability Criterion for Hydrodynamic Differential Rotation","authors":"Zinab M. Maatoug, Hana N. Albibas, Bashir W. Sharif, A. M. Awin","doi":"10.24297/ijct.v23i.9363","DOIUrl":"https://doi.org/10.24297/ijct.v23i.9363","url":null,"abstract":"Viscous stability criterion in a thin layer on a rotating sphere is studied. The case when the fluid is inviscid was explained by Watson in 1981, the work was motivated by the idea suggested by Drazin and Ried in their celebrated text \"Hydrodynamic Stability\"; here we will investigate the model worked out by B. Sherif and C. Jones in the year 2005, and show the necessary condition for instability which depends on the energy that is provided by the shear motion of the fluid in spherical thin layer. ","PeriodicalId":210853,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116578292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nowadays, almost all applications, especially augmented reality (AR) applications, run on the web. In these applications, determining the position and rotation of the mobile device is an indispensable basic step. The speed and accuracy of this work greatly affect the quality of the user experience. Therefore, estimating the rotational position of mobile devices on the Web is necessary and meaningful in practice. In this paper, we propose a way to estimate the position and rotation of the mobile device using the image of the marker obtained from the camera combined with the data from the device’s tilt angle sensor. The proposal has been experimentally installed and evaluated for performance onWeb Assembly, Java Script, and C++ platforms. Along with that, to ensure objectivity, we compared the speed and calculation error of the proposed technique with the P3P and PnP techniques installed in the OpenCV open-source library. We also use the proposal method to develop the Virtual Museum application for the Vietnam National Museum of Nature
{"title":"A Technique to Estimate the Mobile Position and Rotation","authors":"Trinh Hien Anh, Trinh Xuan Hung, Ha Manh Toan","doi":"10.24297/ijct.v22i.9335","DOIUrl":"https://doi.org/10.24297/ijct.v22i.9335","url":null,"abstract":"Nowadays, almost all applications, especially augmented reality (AR) applications, run on the web. In these applications, determining the position and rotation of the mobile device is an indispensable basic step. The speed and accuracy of this work greatly affect the quality of the user experience. Therefore, estimating the rotational position of mobile devices on the Web is necessary and meaningful in practice. In this paper, we propose a way to estimate the position and rotation of the mobile device using the image of the marker obtained from the camera combined with the data from the device’s tilt angle sensor. The proposal has been experimentally installed and evaluated for performance onWeb Assembly, Java Script, and C++ platforms. Along with that, to ensure objectivity, we compared the speed and calculation error of the proposed technique with the P3P and PnP techniques installed in the OpenCV open-source library. We also use the proposal method to develop the Virtual Museum application for the Vietnam National Museum of Nature","PeriodicalId":210853,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130792942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: The procedure of minimal access to the brain through the nose is an ancient practice. However, endoscopic entry via a burr hole has recently gained significant traction in the practice of neurosurgery. High-resolution endoscopic images are possible with limited admittance of accessory tools and instruments. Although brain tissue can be removed easily with a suction device, but it will be uncontrolled ‘excision’. The Rotitome-G is a precision micro-endoscopic target access surgical instrument. It has several accessories for intraoperative assessment and precise removal of the soft tissue lesions pixel-by-pixel within a closed body cavity through a single portal. Objective: This preliminary theoretical research study on Rotitome-G is transition to experimental cadaveric and clinical studies. It describes the construction and mechanics of this newly conceptualized robot-assisted microsurgical endoscope. The design includes precise excision at the pixel and microscopic level and removes tissue debris under computer-aided navigation and direct instrument vision. Currently, the primary objective is to interest both the neurosurgeons and biomedical engineers, hence its contents are diverse resulting in an extended text. Methodology: The study provides the basics of computer vision techniques and neuronavigation to establish the function and application of the Rotitome-G. The structure and kinematics of the animalcule Rotifer have been considered followed by the construction of Rotitome-G. For a better understanding of intracranial tumour excision, the article examines the role of intra-operative imaging, biomechanics of brain tissue, and brain shift to better understand the principles of this newly conceived microsurgical instrument. The functional capabilities of the instrument have been putatively demonstrated by describing the excision of a glioblastoma. Conclusion: It is expected that the key design of Rotitome-G would meet the goal of neurosurgical resection by excising maximum amount of pathological tissue. Direct microscopic resection will prevent damage to the eloquent areas to improve the prognosis by limiting neurological morbidity. Clinical validity of the Rotitome -G remains to be determined.
{"title":"Experimental Endoscope Rotitome-G: A pixel-by-pixel erasure microsurgical endoscopic sarcotome for resection of soft tissue tumours in closed body cavities","authors":"H. S. Gandhi","doi":"10.24297/ijct.v22i.9327","DOIUrl":"https://doi.org/10.24297/ijct.v22i.9327","url":null,"abstract":"Background: The procedure of minimal access to the brain through the nose is an ancient practice. However, endoscopic entry via a burr hole has recently gained significant traction in the practice of neurosurgery. High-resolution endoscopic images are possible with limited admittance of accessory tools and instruments. Although brain tissue can be removed easily with a suction device, but it will be uncontrolled ‘excision’. The Rotitome-G is a precision micro-endoscopic target access surgical instrument. It has several accessories for intraoperative assessment and precise removal of the soft tissue lesions pixel-by-pixel within a closed body cavity through a single portal.\u0000Objective: This preliminary theoretical research study on Rotitome-G is transition to experimental cadaveric and clinical studies. It describes the construction and mechanics of this newly conceptualized robot-assisted microsurgical endoscope. The design includes precise excision at the pixel and microscopic level and removes tissue debris under computer-aided navigation and direct instrument vision. Currently, the primary objective is to interest both the neurosurgeons and biomedical engineers, hence its contents are diverse resulting in an extended text.\u0000Methodology: The study provides the basics of computer vision techniques and neuronavigation to establish the function and application of the Rotitome-G. The structure and kinematics of the animalcule Rotifer have been considered followed by the construction of Rotitome-G. For a better understanding of intracranial tumour excision, the article examines the role of intra-operative imaging, biomechanics of brain tissue, and brain shift to better understand the principles of this newly conceived microsurgical instrument. The functional capabilities of the instrument have been putatively demonstrated by describing the excision of a glioblastoma.\u0000Conclusion: It is expected that the key design of Rotitome-G would meet the goal of neurosurgical resection by excising maximum amount of pathological tissue. Direct microscopic resection will prevent damage to the eloquent areas to improve the prognosis by limiting neurological morbidity. Clinical validity of the Rotitome -G remains to be determined.","PeriodicalId":210853,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114633672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Introduction: No two patients have similar normal anatomy and physiology because of genetics, physical development, and age that the same type of surgery and reconstruction implant will perform equally well. Such a notion demands the need for individualization of treatment and a method to select an ameliorative implant prospectively. One such empirically testing method is the finite element-n-of-1 (fe-n-of-1), where a treatment plan is executed specifically and systematically for a single patient as part of pre-operative planning. Objective: It is to evaluate and discuss the method of finite element analysis to carry out the fe-n-of-1 empirical test in a fact-driven manner connecting various scientific domains. It presents a preliminary protocol how to select an ameliorative implant to mitigate sternal instability due to suboptimal standard stainless-steel cerclage wiring to reconstruct the sternum following open-heart surgery. Methodology: The instability following the reconstruction of the sternum is a mechanical problem therefore it is appropriate to apply harmless structural engineering methods to choose a suitable implant design to fix it. This exploratory descriptive research describes finite element n-of-1 empirical testing using in-silico engineering principles applied to patient-specific and patient-appropriate mechanical loading conditions. Conclusion: Single-patient fe-n-of-1 empirical testing is a benign engineering method based on finite element modeling and finite element analysis. It is a safe mathematical evaluation free from subjective bias to select in advance the most ameliorative implant design to opt out of the suboptimal stainless steel cerclage wire as ‘standard of care’ and improve patient-based outcome and surgeon satisfaction.
{"title":"In-silico patient-specific and patient-appropriate engineering method to judiciously select an ameliorative implant design in a single-patient using finite element-n-of-1 (fe-n-of-1) empirical test analysis to reconstruct mid-sagittal osteochondrotomy of the sternum following cardiac surgery","authors":"H. S. Gandhi","doi":"10.24297/ijct.v22i.9288","DOIUrl":"https://doi.org/10.24297/ijct.v22i.9288","url":null,"abstract":"Introduction: No two patients have similar normal anatomy and physiology because of genetics, physical development, and age that the same type of surgery and reconstruction implant will perform equally well. Such a notion demands the need for individualization of treatment and a method to select an ameliorative implant prospectively. One such empirically testing method is the finite element-n-of-1 (fe-n-of-1), where a treatment plan is executed specifically and systematically for a single patient as part of pre-operative planning.\u0000Objective: It is to evaluate and discuss the method of finite element analysis to carry out the fe-n-of-1 empirical test in a fact-driven manner connecting various scientific domains. It presents a preliminary protocol how to select an ameliorative implant to mitigate sternal instability due to suboptimal standard stainless-steel cerclage wiring to reconstruct the sternum following open-heart surgery. \u0000Methodology: The instability following the reconstruction of the sternum is a mechanical problem therefore it is appropriate to apply harmless structural engineering methods to choose a suitable implant design to fix it. This exploratory descriptive research describes finite element n-of-1 empirical testing using in-silico engineering principles applied to patient-specific and patient-appropriate mechanical loading conditions.\u0000Conclusion: Single-patient fe-n-of-1 empirical testing is a benign engineering method based on finite element modeling and finite element analysis. It is a safe mathematical evaluation free from subjective bias to select in advance the most ameliorative implant design to opt out of the suboptimal stainless steel cerclage wire as ‘standard of care’ and improve patient-based outcome and surgeon satisfaction. ","PeriodicalId":210853,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114419548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mobile applications are designed and developed to run on a mobile device. The overwhelming adoption of mobile device technology, the rapid advancement of mobile devices and the significance of the Internet in today's society have shifted how businesses and consumers interact. The shift has subsequently upset mobile software programming enormously. The education sector has not been left behind on the adoption of mobile devices. For a mobile app to publication in an app store, the developers must meet the quality requirements of the store. To obtain the requirements, we surveyed four major app stores by leveraging the ISO/IEC 25010 quality standard to ensure the fulfillment of the quality requirements from the mobile app stores. We used the cross-sectional methodology strategy thus conducted the study within a limited time frame. Once an app is published in an app store, it becomes accessible to the entire universe of users. Mobile app developers should be familiar with the quality control requirements to develop acceptable apps. The purpose of this paper was to survey and identify the most relevant quality requirements set up by mobile applications The study found, Usability, Performance, Maintainability and Support categories were the most important
{"title":"Quality Attributes Demanded By Mobile App Stores On Mobile Apps Hosted On Their Platforms.","authors":"Jane Kuria, Ikoha Anselimo, Franklin Wabwoba","doi":"10.24297/ijct.v22i.9177","DOIUrl":"https://doi.org/10.24297/ijct.v22i.9177","url":null,"abstract":"Mobile applications are designed and developed to run on a mobile device. The overwhelming adoption of mobile device technology, the rapid advancement of mobile devices and the significance of the Internet in today's society have shifted how businesses and consumers interact. The shift has subsequently upset mobile software programming enormously. The education sector has not been left behind on the adoption of mobile devices. For a mobile app to publication in an app store, the developers must meet the quality requirements of the store. To obtain the requirements, we surveyed four major app stores by leveraging the ISO/IEC 25010 quality standard to ensure the fulfillment of the quality requirements from the mobile app stores. We used the cross-sectional methodology strategy thus conducted the study within a limited time frame. Once an app is published in an app store, it becomes accessible to the entire universe of users. Mobile app developers should be familiar with the quality control requirements to develop acceptable apps. The purpose of this paper was to survey and identify the most relevant quality requirements set up by \u0000mobile applications The study found, Usability, Performance, Maintainability and Support categories were the most important","PeriodicalId":210853,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128909271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hiroki Mikami, K. Torigoe, Makoto Inokawa, M. Edahiro
The increasing scale and complexity of embedded systems and the use of multi-many-core processors have resulted in a corresponding increase in the demand for software development with a high degree of parallelism. The degree of parallelism in software and the accuracy of performance estimation in the early design stages of model-based development can be improved by estimating performance of blocks in models and utilizing the estimate for parallelization. Research is therefore being performed on a software performance estimation technique that uses the IEEE2804-2019 hardware feature description called software-hardware interface for multi-many-core (SHIM). In SHIM, each LLVM-IR instruction is associated with the execution cycle of the target processor. Because several types of assembly instruction sequences for the target processor are generated from a given LLVM-IR instruction, it is not easy to estimate the number of execution cycles. In this study, we propose a regression analysis method to estimate the execution cycles for each LLVM-IR instruction. It is observed that our method estimated the execution cycles within the target error of ±20% in experiments using a Raspberry Pi3 Model B+.
{"title":"LLVM Instruction Latency Measurement for Software-Hardware Interface for Multi-many-core","authors":"Hiroki Mikami, K. Torigoe, Makoto Inokawa, M. Edahiro","doi":"10.24297/ijct.v22i.9231","DOIUrl":"https://doi.org/10.24297/ijct.v22i.9231","url":null,"abstract":"The increasing scale and complexity of embedded systems and the use of multi-many-core processors have resulted in a corresponding increase in the demand for software development with a high degree of parallelism. The degree of parallelism in software and the accuracy of performance estimation in the early design stages of model-based development can be improved by estimating performance of blocks in models and utilizing the estimate for parallelization. Research is therefore being performed on a software performance estimation technique that uses the IEEE2804-2019 hardware feature description called software-hardware interface for multi-many-core (SHIM). In SHIM, each LLVM-IR instruction is associated with the execution cycle of the target processor. Because several types of assembly instruction sequences for the target processor are generated from a given LLVM-IR instruction, it is not easy to estimate the number of execution cycles. In this study, we propose a regression analysis method to estimate the execution cycles for each LLVM-IR instruction. It is observed that our method estimated the execution cycles within the target error of ±20% in experiments using a Raspberry Pi3 Model B+.","PeriodicalId":210853,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115264511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
It is a fact that the morphology, physiology, and load-bearing activities of two patients are never identical. The normal allometric variations in regional anatomy, primary disease processes, and co-morbid pathologies demand individual treatment planning and selection of implants for surgical repair, reconstruction, and replacement leading to patient-specific and patient-appropriate interventions. It requires quantification of hard and soft tissues of human anatomy directly or indirectly from image data and other evaluation techniques, which can be combined with reconstruction implant to form a composite structure for pre-operative evaluation. Finite element modeling and analysis are routine engineering methods to assess the safety and endurance of the physical structures, which can also be applied for the numerical evaluation of fracture reconstruction. The present study delves into the fundamentals of various imaging techniques and techniques for the acquisition of hard and soft tissue densities to extract material properties and introduces the practice of finite element methods for higher analysis and their intended surgical application.
{"title":"Patient-appropriate and patient-specific quantification: Application of biomedical sciences and engineering principles for the amelioration of outcomes following reconstruction of osteochondrotomy of the sternum to access the mediastinum","authors":"H. S. Gandhi","doi":"10.24297/ijct.v22i.9229","DOIUrl":"https://doi.org/10.24297/ijct.v22i.9229","url":null,"abstract":"It is a fact that the morphology, physiology, and load-bearing activities of two patients are never identical. The normal allometric variations in regional anatomy, primary disease processes, and co-morbid pathologies demand individual treatment planning and selection of implants for surgical repair, reconstruction, and replacement leading to patient-specific and patient-appropriate interventions. It requires quantification of hard and soft tissues of human anatomy directly or indirectly from image data and other evaluation techniques, which can be combined with reconstruction implant to form a composite structure for pre-operative evaluation. Finite element modeling and analysis are routine engineering methods to assess the safety and endurance of the physical structures, which can also be applied for the numerical evaluation of fracture reconstruction. The present study delves into the fundamentals of various imaging techniques and techniques for the acquisition of hard and soft tissue densities to extract material properties and introduces the practice of finite element methods for higher analysis and their intended surgical application. ","PeriodicalId":210853,"journal":{"name":"INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129756336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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