Sukkur IBA Journal of Computing and Mathematical Sciences最新文献_第2页

Impact of Blockchain Technology in Modern Banking Sector to Exterminate the Financial Scams 区块链技术对现代银行业消除金融诈骗的影响

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2023-02-20 DOI: 10.30537/sjcms.v6i2.1170

Muhammad Asif Chuadhry, Muhammad Ghazanfar Bhatti, R. A. Shah

{"title":"Impact of Blockchain Technology in Modern Banking Sector to Exterminate the Financial Scams","authors":"Muhammad Asif Chuadhry, Muhammad Ghazanfar Bhatti, R. A. Shah","doi":"10.30537/sjcms.v6i2.1170","DOIUrl":"https://doi.org/10.30537/sjcms.v6i2.1170","url":null,"abstract":"The paper examined the use of blockchain in banking sector. With the increase of user’s interest in banking sector, transactions are conducted online or via physical credit scanners. Banking sector is easy target for the hackers. Unauthorized person can hostage the bank data by using cyber security threats such as phishing attack, Ransomware attack, and Denial of Service (DoS). The only solution to secure the customer precious data is blockchain. It has the potential to considerably decrease costs and it can completely alter the banking industry. The present centralized banking system can be strengthened using blockchain technology. Due to the transparency, auditability, immutability, operational resilience and data encryption essential in blockchains, it can secure the cyber security, forbid crooked actions and perceived tampering of data. Blockchain technology will deal the movement in the banking industry and associated facilities in prevailing area. Correspondingly inspecting cases both at home and abroad, it might be recognized areas that blockchains are used aggressively, utilized in banking sections are growing into remittance, resolution, smart contracts and reliability. Multi-factor authentication (MFA) technique is used to find the legitimate users by demanding a user to conform multiple identification information. The username and password can easily be hacked by unauthorized person, so we create a new authentication method that can’t be hacked with the help of Blockchain Techn[1]ology. \u0000 \u00001Deputy Director Quality Assurance Agency, Higher Education Commission, Islamabad, Pakistan. \u0000 2Deptt. Of CS & IT, The IUB, Bahawalpur, Pakistan \u00003 Department of Management Sciences, Shifa Tameer-e-Millat University, Islamabad.","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49459066","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

Impact of Electromagnetic Pollution on human health and environment a case study in Pakistan 电磁污染对人类健康和环境的影响——以巴基斯坦为例

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2023-02-20 DOI: 10.30537/sjcms.v6i2.1223

Imran Majid, Mubashir Muhammad Shaikh

{"title":"Impact of Electromagnetic Pollution on human health and environment a case study in Pakistan","authors":"Imran Majid, Mubashir Muhammad Shaikh","doi":"10.30537/sjcms.v6i2.1223","DOIUrl":"https://doi.org/10.30537/sjcms.v6i2.1223","url":null,"abstract":"All living things, including people, plants, animals, and, in fact, all of God's creatures, need to connect with one another to maintain their life cycles. They are constrained inside their predetermined realm and have several methods to interact with one another. Technology becomes more engaged in communication over time, and human productivity rises as a result, such as when signals are converted into understandable communications. Since people desire to be involved in whatever they do, Radio Frequency (RF), a form of electromagnetic wave technology, has been developed for communication. RF-based communication technology makes life easier for people, but the exponential growth in demand for the technology has led to high levels of engagement with communication devices—something that is undoubtedly harmful to people and other living things. \u0000The participation and prolonged use of RF devices expose people to more live things that have an impact on their health and the environment. In this study, we will assess the direct and indirect effects of heavy electromagnetic pollution on the ecosystem and the health of living things. The Pakistan region has been chosen since it is among the world's most densely inhabited regions in terms of sample size. When Metaverse is made available to everyone, especially in Pakistan, the metaverse starts generating electromagnetic radiation, which will have a significant influence on electromagnetic pollution, although no research has been able to demonstrate the relationship in comparison to the metaverse.","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45059635","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

IoT based smart solar PV monitoring system; A Cost Effective and reliable solution 基于物联网的智能太阳能光伏监控系统;具有成本效益且可靠的解决方案

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2023-01-30 DOI: 10.30537/sjcms.v6i2.1160

M. Ali

引用次数: 0

Collusion Detection using Predictive Functions based on Android Applications 基于Android应用预测功能的合谋检测

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2023-01-30 DOI: 10.30537/sjcms.v6i2.953

Aurangzeb Magsi, A. Soomro

引用次数: 0

E-Monitoring of Student Engagement Level using Facial Gestures 使用面部手势的电子监测学生参与水平

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2023-01-30 DOI: 10.30537/sjcms.v6i2.983

Sohaib Abdullah, Ayesha Hakim, Abdul Razzaq, Nasir Nadeem

引用次数: 0

Serious Game model for dyslexic children 阅读障碍儿童的严重游戏模型

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2022-07-21 DOI: 10.30537/sjcms.v6i1.864

Z. Bhatti, Naila Shabbir

引用次数: 1

Estrus Detection in Dairy Cows from Location and Acceleration Data using Machine Learning 利用机器学习从位置和加速度数据中检测奶牛发情

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2022-07-21 DOI: 10.30537/sjcms.v6i1.1046

Rashid Jahangir

{"title":"Estrus Detection in Dairy Cows from Location and Acceleration Data using Machine Learning","authors":"Rashid Jahangir","doi":"10.30537/sjcms.v6i1.1046","DOIUrl":"https://doi.org/10.30537/sjcms.v6i1.1046","url":null,"abstract":"Accurate and timely detection of estrus, in cows, in dairy farms is very important for reproduction, health and milk production. Traditional estrus detection methods like manual observation and chin head chalking are outdated and not suitable for the dairy farm because of large number of animals. A lot of automated estrus detection methods have been proposed like milk yield fluctuation, milk progesterone detection etc., but they are either too complex to implement or have low detection rate. Whereas, the proposed estrus detection method can be easily implemented, cheaply and accurately. This method uses features extracted from 3D acceleration data, obtained using accelerometer attached to cow’s neck. The data is then clustered using k-means into 3 clusters. Categories are assigned based on data variance. As a result, the three clusters are categorized as: low activity, medium activity, or high activity. Based on this information, activity index is calculated and then it is used for the estrus detection. Machine learning classifiers including SVM, and D-trees are used for the activity recognition. SVM and D-tree demonstrate an accuracy of 96% and 86% respectively.","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44216932","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

Dengue Vector Surveillance using Acoustic Signals through Sequential Model of Convolutional Neural Networks 基于卷积神经网络序列模型的声信号登革热矢量监测

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2022-07-21 DOI: 10.30537/sjcms.v6i1.1061

Ahmad Hasham, Ayesha Hakim, J. Jabeen, Samra Naseem

引用次数: 0

Finger-Vein Image Dual Contrast Adjustment and Recognition Using 2D-CNN 基于2D-CNN的手指静脉图像双对比度调整与识别

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2022-07-21 DOI: 10.30537/sjcms.v6i1.1001

Noroz Khan Baloch Noroz, Saleem Ahmed, Ramesh Kumar, D. M. S. Bhatti, Yawar Rehman

引用次数: 0

Deep Learning-Based Rice Leaf Diseases Detection Using Yolov5 基于Yolov5深度学习的水稻叶片病害检测

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2022-07-21 DOI: 10.30537/sjcms.v6i1.1009

Muhammad Juman Jhatial, Dr Riaz Ahmed Shaikh, Noor Ahmed Shaikh, Samina Rajper, Rafaqat Hussain Arain, Ghulam Hussain Chandio, Abdul Qadir Bhangwar, Hidayatullah Shaikh, Kashif Hussain Shaikh

{"title":"Deep Learning-Based Rice Leaf Diseases Detection Using Yolov5","authors":"Muhammad Juman Jhatial, Dr Riaz Ahmed Shaikh, Noor Ahmed Shaikh, Samina Rajper, Rafaqat Hussain Arain, Ghulam Hussain Chandio, Abdul Qadir Bhangwar, Hidayatullah Shaikh, Kashif Hussain Shaikh","doi":"10.30537/sjcms.v6i1.1009","DOIUrl":"https://doi.org/10.30537/sjcms.v6i1.1009","url":null,"abstract":"The Rice crop in Agriculture field is playing an important role in economy of Pakistan and fulfilling the needs of living hood of human beings. The rice leaf faces several diseases like Bacterial Bligh, Brown Spot, Blast and Tungro. This research attempts to create a simple and best model for Rice leaf disease detection using deep learning model Yolov5. The model has been upgraded to v5 which is the latest version of Yolo. The performance and accuracy of object detection using Yolov5 is better than Yolov3 and Yolov4 models. This model is able to differentiate and successfully detect the rice leaf diseases. The Rice leaf images Dataset is downloaded from Kaggle website, the dataset contains 400 images of leaf infected by disease. This paper uses Google colab platform to train, validate and test the model for Rice Leaf disease detection. All necessary steps to be implemented, the rice leaf disease are detected and fully described. The developed model utilize epochs: 100. The experimental results show that the deep learning model created with 100 epochs has shown the best performance with precision, recall, and mAP value of 1.00, 0.94, and 0.62, respectively.","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43145772","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: 7