Sukkur IBA Journal of Computing and Mathematical Sciences最新文献_第4页

A QR Code Based Group Pairing Approach for Mobile Ad Hoc Networks 一种基于QR码的移动自组织网络组配对方法

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2021-04-27 DOI: 10.30537/sjcms.v5i1.806

Y. A. Malkani, Moez Ahmed Malik, L. D. Dhomeja, Bisharat Rasool Memon, A. W. Mahesar

{"title":"A QR Code Based Group Pairing Approach for Mobile Ad Hoc Networks","authors":"Y. A. Malkani, Moez Ahmed Malik, L. D. Dhomeja, Bisharat Rasool Memon, A. W. Mahesar","doi":"10.30537/sjcms.v5i1.806","DOIUrl":"https://doi.org/10.30537/sjcms.v5i1.806","url":null,"abstract":"Due to the rapid growth of small and smart hand-held devices, mobile ad hoc networks (MANets) are becoming very common nowadays. MANets may consist of a number of small hand-held devices having limited resources in terms of memory, battery and processing power. In order to provide services to the users, these devices are capable of communicating with each other through some radio technology, such as WiFi, Bluetooth or Infrared. Since radio channels are inherently vulnerable to various security threats, it requires that devices in MANets must establish a secure association amongst themselves before exchanging any sensitive information or data. The process of establishing a secure channel between two devices is referred to as device pairing or device association. Device pairing do not rely on traditional mechanisms for security due to the impulsive and ad hoc interactions among the devices. Due to this, researchers have proposed many schemes/protocols to deal with this issue; however, the issue of group pairing (i.e. secure association of more than two devices) is less addressed issue in the literature yet. There could be many scenarios (such as confidential office meetings, paring of group of home appliances in smart-homes, etc) of MANets, where secure group communications is desired. Consequently, this research focuses on this issue and proposes a QR (quick response) code based scheme to establish a secure channel between a numbers of devices. The proposed system is implemented and tested on modern hand-held devices and a usability study of the implemented system is also carried out.","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47429574","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

The Challenges Faced in the Collection and Disposal of Municipal Solid Waste (MSW) Management: A Case Study of Sanghar City 城市生活垃圾收集与处置管理面临的挑战——以桑哈尔市为例

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2021-04-27 DOI: 10.30537/sjcms.v5i1.762

Laraib Bhatti, M. A. H. Talpur, I. Memon, I. Chandio, F. Shaikh

{"title":"The Challenges Faced in the Collection and Disposal of Municipal Solid Waste (MSW) Management: A Case Study of Sanghar City","authors":"Laraib Bhatti, M. A. H. Talpur, I. Memon, I. Chandio, F. Shaikh","doi":"10.30537/sjcms.v5i1.762","DOIUrl":"https://doi.org/10.30537/sjcms.v5i1.762","url":null,"abstract":"The rapid increase in urbanization and population, is generating massive solid waste (SW) in cities. Mismanagement of MSW collection is creating, health hazards, socio-economic problems, and deteriorating environments. This research aimed to examine the SWM problems and to identify SWM issues through the inhabitant's perspective and to propose a sustainable method to control, collect, treat, utilize and disposing of Municipal SW in Sanghar City. Hence, the objective of this study is to achieve through cluster sampling, For the residential questionnaire study, a sample size of 384 was obtained and descriptive statistics and regression and correlation analysis methods have been used to evaluate the data collected. As a result, the collection of MSW is quite inappropriate and constricted to the influential area and solid waste keeps on scattered throughout the remaining areas. In recent years, mismanagement MSW has become a major problem in Sanghar city. The key problems of SW in the city are indiscriminate disposal, improper collection, inadequate storage, and insufficient facilities. To address these issues, the management of the disposal of SW must be carried out with the complete participation of the respective communities.","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46518861","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: 2

Design of Isolated Micro Grid Using Renewable Energy Resources with Energy Storage System via HOMER Software A Case Study of a Thar Community 基于HOMER软件的可再生能源与储能系统隔离微电网设计——以某塔尔社区为例

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2021-03-18 DOI: 10.30537/sjcms.v5i1.811

Manish Kumar

引用次数: 0

Impact Assessment of Urban Pull-factors to cause Uncontrolled Urbanization: Evidence from Pakistan 城市拉动因素对城市化失控的影响评估——来自巴基斯坦的证据

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2021-03-18 DOI: 10.30537/sjcms.v5i1.589

H. B. Waseem, M. A. H. Talpur

{"title":"Impact Assessment of Urban Pull-factors to cause Uncontrolled Urbanization: Evidence from Pakistan","authors":"H. B. Waseem, M. A. H. Talpur","doi":"10.30537/sjcms.v5i1.589","DOIUrl":"https://doi.org/10.30537/sjcms.v5i1.589","url":null,"abstract":"Uncontrolled urbanization is a global phenomenon, currently sweeping through developing countries like Pakistan. Being the 6th most populous country, its strategic urban locations receive a humongous migrant influx. A prime victim is Hyderabad, Pakistan, the Sindh’s second-largest urban settlement after Karachi that experiences enormous urban problems due to immense urbanization. Hence, the study aims to propose policy implications to curtail Hyderabad’s urbanization. The objective of this study is to measure the impacts of pull-factors in perception of migrants so that the policy implications could be proposed on most responsible factors. For this study, 3 urban Talukas (a district’s subdivision) of district Hyderabad were selected. While a sample of 400 migrants was procured using purposive and snowball sampling techniques for the questionnaire survey. Utilizing a large survey data, the results were obtained using descriptive statistics and multiple regression. Results showed a significant impact of economic and socio-cultural pull-factors like better employment opportunities, higher income probability, job security, easy access to facilities, better outlook and hope for the future, and comfortable and diverse lifestyle in causing immense urbanization. Nevertheless, desire for independence and access to basic social services appeared to have a negative impact. The proposed policy implications on significant pull-factors could be considered as a first step to handle uncontrolled urbanization. Moreover, the study is significant as it particularly contributes to apprehend Hyderabad’s various interrelated urban issues. In general terms, this research can be considered as a role model for high-density third world cities suffering from relatable urban malaise.","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48561516","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: 1

Breast Cancer Detection via Global and Local Features using Digital Histology Images 利用数字组织学图像通过全局和局部特征检测乳腺癌

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2021-03-01 DOI: 10.30537/sjcms.v5i1.769

G. Murtaza, A. W. Wahab, Ghulam Raza, Liyana Shuib

{"title":"Breast Cancer Detection via Global and Local Features using Digital Histology Images","authors":"G. Murtaza, A. W. Wahab, Ghulam Raza, Liyana Shuib","doi":"10.30537/sjcms.v5i1.769","DOIUrl":"https://doi.org/10.30537/sjcms.v5i1.769","url":null,"abstract":"Globally, breast cancer (BC) is the prevailing cause of unusual deaths in women. Breast tumor (BT) is a primary symptom and may lead to BC. Digital histology (DH) image modality is a gold standard medical test for a definite diagnosis of BC. Traditionally, DH images are visually examined by two or more pathologists to come up with a consensus for authentic BC detection which may cause a high error rate. Therefore, researchers had developed automated BC detection models using a machine learning (ML) based approach. Thus, this study aims to develop a BC detection model through ten feature extraction methods which extract both local and global type features from publicly available breast histology dataset. The extracted features are sorted by their weights, which are computed by the neighborhood component analysis method. A feature selection algorithm is developed to find the minimum number of discriminating features, evaluated through seven heterogeneous traditional ML classifiers. The proposed ML-based BC detection model acquired 90% accuracy for the initial testing set using 51 Harris features. Whereas, for the extended testing set, only three Harris features is shown 93% accuracy. The proposed BC detection model can assist the doctor in giving a second opinion.","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45751900","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

Yeh’s Satisfaction Index Modelling of Tenants in Rental Appartments (A Case Study of Latifabad Hyderabad) 租赁公寓租户的Yeh满意度指数模型（以海得拉巴Latifabad为例）

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2021-01-05 DOI: 10.30537/sjcms.v4i2.654

Rabia, S. Kalwar, I. Memon, I. Chandio

{"title":"Yeh’s Satisfaction Index Modelling of Tenants in Rental Appartments (A Case Study of Latifabad Hyderabad)","authors":"Rabia, S. Kalwar, I. Memon, I. Chandio","doi":"10.30537/sjcms.v4i2.654","DOIUrl":"https://doi.org/10.30537/sjcms.v4i2.654","url":null,"abstract":": The population of urban areas has been rapidly growing over the last few decades. This has increased the housing demand including rental apartments in Pakistan. Although the satisfaction of tenant accommodated in an apartment is a big challenge. There are also many problems like income and affordability, lack of building bylaws for those tenants. This study finds the satisfaction level of the tenant living in apartments. A standardized closed-ended questionnaire survey was used to collect the data. The analysis was done in two parts: (1) analysis of frequency ranking of all amenities, services, and facility types, (2) Yeh’s satisfaction index model to find the satisfaction level of tenants toward particular amenity, service, or facility. Findings revealed issues like; water supply, ventilation, sunlight, age of apartment, electricity, improper cleaning, insufficient parking, minimum play area, isolation, over rent, price of services, maintenance, and management, suffocation, congestion, etc. This result implies that rents are more likely to base be on provided amenities rather than on unit size which reconfirms that rent is driven by provided amenities.","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44936931","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: 3

An Indoor Tracking System using iBeacon and Android 基于iBeacon和Android的室内跟踪系统

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2021-01-05 DOI: 10.30537/sjcms.v4i2.715

Mohammed Moneer, Mahmoud Aljawarneh, Lachman Das, Dhomeja, G. Laghari, Bisharat Rasool Memon

引用次数: 2

Optimization of Central Pattern Generator based Quadruped Animation using Time Series with Genetic Algorithm 基于时间序列遗传算法的中央模式生成器的四边形动画优化

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2021-01-05 DOI: 10.30537/sjcms.v4i2.613

Z. Bhatti, Shahneela Pitafi, Naila Shabbir

引用次数: 0

The On Study Of Generalized Nonlinear Black Scholes Equation By Reduced Differential Transform Algorithm 用降阶微分变换算法研究广义非线性Black-Scholes方程

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2021-01-05 DOI: 10.30537/sjcms.v4i2.606

Naresh Kumar Solanki, Syed Feroz Shah

引用次数: 1

Hybridization Techniques To Detect Brain Tumor 杂交技术检测脑肿瘤

Sukkur IBA Journal of Computing and Mathematical Sciences Pub Date : 2021-01-05 DOI: 10.30537/sjcms.v4i2.655

Asif Hussain, Muhammad Abrar, R. Masroor, Ifra Masroor

{"title":"Hybridization Techniques To Detect Brain Tumor","authors":"Asif Hussain, Muhammad Abrar, R. Masroor, Ifra Masroor","doi":"10.30537/sjcms.v4i2.655","DOIUrl":"https://doi.org/10.30537/sjcms.v4i2.655","url":null,"abstract":": Diagnosing brain tumor in the present era through digital techniques need serious attention as the number of patients is increasing in an awkward manner. Magnetic Resonance Imaging is a tool that is used for the detection of brain tumors. Deploying Machine learning models to detect the abnormality pattern of the brain on MRI scans is quite beneficial in this modern era. This paper deploys GLCM on MRI scans to extract 66 features. Then, Feature selection and classification are applied to the given data set. Classification on a given data set is done through K- Nearest Neighbor. The given article classifies scans, i.e., normal and abnormal brain images. In the given study, we have taken normal and abnormal samples from the MRI department, Nishtar Medical hospital, Multan under doctor supervision. The scans were T2 weighted and having 256*256 pixels. In order to classify brain images, first, it needs to pre-process by skull stripping technique then the proposed algorithm is followed. The algorithm involves feature extraction through GLCM and feature selection through ACO in order to reduce the dimensions for optimal features. Results have proved its efficiency level up-to 88% on testing data.","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49326894","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