Sukkur IBA Journal of Computing and Mathematical Sciences最新文献

Prediction of Next Word in Balochi Language Using N-gram Model 使用 N-gram 模型预测俾路支语中的下一个单词

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2024-05-16 DOI: 10.30537/sjcms.v7i2.1273

Sharan

引用次数: 0

A Novel Approach Toward Algorithm Architecture Co-Optimization for the Application of Adaptive Noise Cancellation for Wireless Communication 应用自适应噪声消除技术实现算法架构协同优化的新方法

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2024-01-18 DOI: 10.30537/sjcms.v7i1.1304

Dr Aneela Pathan

{"title":"A Novel Approach Toward Algorithm Architecture Co-Optimization for the Application of Adaptive Noise Cancellation for Wireless Communication","authors":"Dr Aneela Pathan","doi":"10.30537/sjcms.v7i1.1304","DOIUrl":"https://doi.org/10.30537/sjcms.v7i1.1304","url":null,"abstract":"As FPGA has been in trend for a few decades in prototyping simple to complex DSP systems, some issues are still highlighted in FPGA-based implementations. One issue is the limited resources mounted onboard. Optimization has always remained a choice of developers, either hardware or software-based. Algorithm architecture co-optimization is a domain that incorporates some changes in existing algorithms besides bringing some ways to produce compact architecture. One of the methods in architecture optimization is to use short-word length-based DSP systems that use a sigma-delta modulation (SDM) approach to reduce the actual data word length from multi-bit to single-bit. SDM in the design causes the system to become compact and efficient. This paper produces algorithm architecture co-optimization for the application of adaptive noise cancellers for wireless communication. The algorithm taken is SDM-based Steepest-Descent, and its implementation is compared with the new proposed SDM-based correlation-less design. Both approaches are simulated in MATLAB, and their functional verification is carried out along with comparing some statistical parameters, including SNR, MSE, and PE. Besides, both the designs are translated on Vertex-7 FPGA to verify the less resources consumed by the proposed method. The MATLAB and FPGA-based results indicate that the proposed design may be the best choice for less sensitive applications, like voice or video. ","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":"122 33","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139613853","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}

引用次数: 0

A Proposed Framework for the Automobile Registration System Using Blockchain 使用区块链的汽车注册系统拟议框架

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2024-01-18 DOI: 10.30537/sjcms.v7i1.1350

Muhammad Adil, A. Dar, Sami Ahmad, Adnan Bashir, Muhammad Farooq, Shuja ur, Rehman Baig

{"title":"A Proposed Framework for the Automobile Registration System Using Blockchain","authors":"Muhammad Adil, A. Dar, Sami Ahmad, Adnan Bashir, Muhammad Farooq, Shuja ur, Rehman Baig","doi":"10.30537/sjcms.v7i1.1350","DOIUrl":"https://doi.org/10.30537/sjcms.v7i1.1350","url":null,"abstract":"The Automobile Registration System on Blockchain is a groundbreaking solution that utilizes blockchain technology to secure the process of automobile registration. Traditional systems often face challenges such as data manipulation, fraud, and inefficiency. In contrast, this proposed system leverages blockchain’s transparency, immutability, and decentralized consensus to overcome these issues. The central idea of this system is to establish a trustworthy, reliable, and impenetrable registration system for vehicles. The framework uses blockchain innovation to guarantee that enlistment records are immutable and safely put away. Exchanges and records are confirmed and approved through a decentralized organization of hubs, imparting an elevated degree of confidence in the enrolment cycle. The system’s ownership transfer functionality is critical, enabling secure and efficient transactions between vehicle owners. Whether it involves transferring ownership between individuals or manufacturers, the blockchain-based system ensures transparency and traceability throughout the process","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":"115 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139614230","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}

引用次数: 0

Dynamic Time Quantum Computation for Improved Round Robin Scheduling Algorithm Using Quartiles and Randomization (IRRQR) 使用四分位数和随机化的改进循环调度算法的动态时间量子计算 (IRRQR)

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2024-01-18 DOI: 10.30537/sjcms.v7i2.1340

Bushra Jamil, Asif Yar, H. Ijaz

引用次数: 0

Review of Applications of Artificial Intelligence in Health Care 人工智能在医疗保健领域的应用回顾

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2024-01-18 DOI: 10.30537/sjcms.v7i2.1308

Bushra Memon

引用次数: 0

PREDICTIVE ANALYSIS OF CLIMATE DISASTER DATA 气候灾害数据的预测分析

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2024-01-18 DOI: 10.30537/sjcms.v7i2.1332

Anum Aziz, Shaukat Wasi, Muhammad Khaliq-ur-Rahman, Raazi Syed

{"title":"PREDICTIVE ANALYSIS OF CLIMATE DISASTER DATA","authors":"Anum Aziz, Shaukat Wasi, Muhammad Khaliq-ur-Rahman, Raazi Syed","doi":"10.30537/sjcms.v7i2.1332","DOIUrl":"https://doi.org/10.30537/sjcms.v7i2.1332","url":null,"abstract":"In this paper, the Total deaths and Cost per Index (CPI) of worldwide climate disaster dataset has been modelled. The time period of the dataset is from 1900 to 2021. The Autoregressive Integrated Moving Average (ARIMA) has been applied to forecast the Total Deaths and CPI of the study area. The total of 75% of the train data is used for construction of the model and the remaining 25% dataset is used for testing the model. The ARIMA model is general provides more accurate projection especially interval forecast and is more reliable than other common statistical techniques. The best-fitted model is identified as ARIMA(2,0,1) and (2,1,2) for Cost per Index CPI and Total Deaths respectively, generated on the basis of minimum values of Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) procedures. The accuracy parameter considered as Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) both parameters shows the model is accurate respectively. There is a 7% difference between the auto and manual models for the CPI feature, similarly, there is a 4% difference for Total Deaths, indicating that CPI plays a significant impact in climatic disasters. In order to identify best fitted model, we applied the model manually and automatic processing. By means of Auto Correlation Function (ACF) and Partial Auto Correlation Function (PACF) plots, the most appropriate order of the ARIMA model are determine and evaluated. Accordingly the created model can help in determining future strategies related to climate disaster dataset of the world. From the forecast result it is found that the results seems to show an increasing trend in CPI values and the minimal decreasing in total death condition and economic activities of the world.","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":"121 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139615954","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}

引用次数: 0

Towards a Trustworthy and Efficient ETL Pipeline for ATM Transaction Data 为 ATM 交易数据开发可信、高效的 ETL 管道

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2024-01-18 DOI: 10.30537/sjcms.v7i2.1338

Muhammad Ahmad Ashfaq, Nimra Haq, Usman Arshad, Muhammad Farooq, Rehman Baig

{"title":"Towards a Trustworthy and Efficient ETL Pipeline for ATM Transaction Data","authors":"Muhammad Ahmad Ashfaq, Nimra Haq, Usman Arshad, Muhammad Farooq, Rehman Baig","doi":"10.30537/sjcms.v7i2.1338","DOIUrl":"https://doi.org/10.30537/sjcms.v7i2.1338","url":null,"abstract":"ATMs generate vast amounts of data daily, which needs to be analyzed and stored. Dealing with this data, also termed big data, is a complex task, and here comes the role of ETL pipelines. ETL pipelines need extensive resources for operations, and their performance optimization is necessary as data must be dealt with in near or even real-time. If the pipeline deals with financial data such as ATM transactions, steps should be taken to ensure the data's security, privacy, confidentiality, and integrity. This can be achieved using Blockchain technology. It is a distributed ledger technology having an immutable nature. It has significant advantages in terms of providing security, but it has disadvantages as well, such as low throughput and transactional latency. If blockchain is used in an ETL pipeline, it will affect the overall performance. So, to prevent the decline in performance, steps should be taken to optimize it. In this paper, we are using parallelization and partitioning as techniques to optimize performance. The primary goal here is to achieve maximum security while maintaining performance.","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":"102 39","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139614567","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}

引用次数: 0

Software Projects Crest and Trough in Pakistan: A Management Spectrum 巴基斯坦软件项目的波峰和波谷:管理光谱

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2023-08-30 DOI: 10.30537/sjcms.v7i1.1249

Salwa Iqbal, Sheikh Kashif Raffat, Mohuammad Sarim

{"title":"Software Projects Crest and Trough in Pakistan: A Management Spectrum","authors":"Salwa Iqbal, Sheikh Kashif Raffat, Mohuammad Sarim","doi":"10.30537/sjcms.v7i1.1249","DOIUrl":"https://doi.org/10.30537/sjcms.v7i1.1249","url":null,"abstract":"Software industry has become as popular factor in the progress triumph of every country. Software project management techniques are significantly applicable in the development cycle of software projects. Despite that software projects face many tarnished reputations of poor performance in terms of schedule, budget, quality, and many other management and controlling correlated factors. Influencing factors which makes the software project successful are under the prominence of extensive research for more than the 40 years. Still, most of the relevant research in this territory has focused on developing countries with little consideration of less advanced countries. The purpose of this paper is to explore the success and failure factors in the Pakistani software environment using Qualitative research analysis approach. For this purpose, almost thirty software houses were targeted from four provinces of Pakistan and collected perception-based data through questionnaires and interviews from related personals. We further elaborate and compare some critical factors from past literatures in this research. Finally, the outcomes and findings showed better management and development aspects for a healthy software project growth in the domain of Pakistan. The importance of this research is to cover both theoretical and practical dimensions of software project management. We have found that proper scheduling, appropriate estimation of cost and time, Agile methodology, RMMM (risk mitigation, monitoring, management) approach, team bonding, team or staff motivational and communication factors significantly affected on successful projects.","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43058117","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}

引用次数: 0

Analysis of Sindh School Monitoring System Smartphone App of Government Schools of Sindh 信德省公立学校信德省学校监控系统智能手机应用程序分析

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2023-08-30 DOI: 10.30537/sjcms.v7i1.1261

I. A. Halepoto, M. K. Ghori, F. A. Memon, Ali Raza Bhangwar, B. Zardari

{"title":"Analysis of Sindh School Monitoring System Smartphone App of Government Schools of Sindh","authors":"I. A. Halepoto, M. K. Ghori, F. A. Memon, Ali Raza Bhangwar, B. Zardari","doi":"10.30537/sjcms.v7i1.1261","DOIUrl":"https://doi.org/10.30537/sjcms.v7i1.1261","url":null,"abstract":"The attendance of employees is crucial in both public and private organizations as it indicates their dedication. In the schools of Government of Sindh the monitoring of attendance of teachers has become increasingly challenging, for that, the Government of Sindh has introduced an android based smart phone app called the Sindh School Monitoring Management System (SSMS app) in April 2016 to collect, analyze and disseminate the real-time data regarding school, teachers and students. The app was implemented in 15 districts in the first phase and has since been expanded to cover the entire province, resulting in improved teachers attendance, education quality and school monitoring at government schools. Previously, attendance was tracked manually, which was not secured and had flaws such as teachers not adhering to policy for signature, timing and signing in advance. While the SSMS app has improved the performance, it still faces implementation and design challenges. This research examines the SSMS app in detail, highlighting its weaknesses and aiming to improve its efficiency through a questionnaire designed with input from experts. An analysis is presented based on the feedback of monitoring assistants (MAs) on the indicators such as teacher’s attendance, punctuality, multi modal representation of SSMS, monitoring, data collection, data loading, data fetching.","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49212873","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}

引用次数: 0

Air quality forecasting based on machine and deep learning models: an IoT application 基于机器和深度学习模型的空气质量预测:物联网应用

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2023-08-30 DOI: 10.30537/sjcms.v7i1.1259

Khalid Khan, Affan Alim, Humayun Qureshi, Imran Sabir, Ibrahim Hassan

{"title":"Air quality forecasting based on machine and deep learning models: an IoT application","authors":"Khalid Khan, Affan Alim, Humayun Qureshi, Imran Sabir, Ibrahim Hassan","doi":"10.30537/sjcms.v7i1.1259","DOIUrl":"https://doi.org/10.30537/sjcms.v7i1.1259","url":null,"abstract":"Harmful gasoline and particulate objects that exist in the air and above the cut-off values are dangerous for human, animal, and plant health. Essentially, it leads to lung cancer, throat infection, heart attack, and other diseases. The early forecasting of these objects may help for precautions of safety. In this paper, it is proposed to use the regression-based model auto regression integrated moving average (AIRMA) and deep learning-based model long short-term memory (LSTM) for air quality prediction. The air quality forecasting performance also depends on the quality of the available dataset. In this study, real-time data is collected from 10 different locations based on an IoT system, which is developed locally for a funded project of the Higher Education Commission (HEC). The main idea of this study is to validate the real-time collected dataset. Two objects, particulate PM2.5, and gasoline Ammonia are considered for four different locations for forecasting. Due to several issues such that electricity, Wi-Fi, sensor calibration, and collected data are not in their finest position. A number of prepossessing steps are applied to raw data to bring it into a usable form. Regardless of these issues, proposed models based on data collected by IoT system, outperform two air objects PM2.5 and Ammonia. For the case of Ammonia, an RMSE value of 0.562 is obtained which is very low to the mean value of 5.15 which indicates high performance. Similarly, very close values of 0.186 and 0.133 of RMSE and MAE were achieved respectively, and reflect the low variance in error. The LSTM-based experiment for Ammonia prediction, comparable to a very low RMSE value of 1.948 is achieved from the corresponding mean. A very small difference value of 0.287 between RMSE and MAE is obtained indicating a low variance in predicting error and high precision.","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43677823","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}

引用次数: 0