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GIS Based Spatial and Temporal Analysis of Crimes, a Case Study of Mardan City, Pakistan

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International Journal of Geosciences 2016年第3期7卷 325-334页

作者： Pukhtoon Yar jamal nasir College of Territorial Resources and Tourism Anhui Normal University Wuhu China Department of Geography University of Peshawar Peshawar Pakistan

This paper is aimed to study the crime with special reference to its spatial and temporal distribution. It also tries to analyze and estimates the impact of weather on the prevalence of criminal activity in Mardan City. Studying the crimes with reference to its spatial and temporal distribution is important because information about the occurrence of crime is one of the most crucial tools in combating crime. It allows understanding how crimes are distributed through space, and hence can help in combating them. The Geographical Information System is an important tool for dealing with spatial and temporal analysis and thus fighting crime. The advent of desktop computers has significantly increased the role of computer mapping. The availability of user-friendly GIS applications has further increased the use of GIS in crime mapping. For the present study the data was collected about homicide and aggressive assaults from all the three police stations covering Mardan City. The collected data was analyzed under different scenarios. The temporal based analysis of data reveals that almost 50% crimes reported in 2009, took place from May-September (summer) compared to 32% in winter (October to February). The spatial analysis of data reveals 05 hotspots. Sikindary area was identified as the most crucial hotspot where within a 05 km radius, 11 crimes were committed in 2009 followed by Kalpani Bridge area from where a total of 10 crimes of aggressive nature were reported. Similarly police station wise the City Police Station accounts for 47% of the aggressive crimes committed in 2009.

关键词： GIS Remote Sensing Crimes Mardan City

Application of ultrasound-assisted cooking temperature for improving physicochemical and sensory properties of broiler meat

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Food Materials Research 2022年第1期2卷 153-158页

作者： Noveen Ashar Sher Ali Bilal Asghar Faisal Hussnain jamal nasir Kashif Nauman Iftikhar Hussain Badar Department of Meat Science and Technology Faculty of Animal Production&TechnologyUniversity of Veterinary and Animal SciencesLahorePakistan Department of Poultry Production Faculty of Animal Production&TechnologyUniversity of Veterinary and Animal SciencesLahorePakistan

The current study investigates the effect of ultrasound-assisted cooking on broiler meat *** objective of this study was to explore the combined effect of ultrasound treatment(US)(40 kHz,120 Wcm^(-2))at different cooking temperatures(50,60,70,80℃)on physicochemical and sensory attributes of broiler ***,pH,cooking loss%,Thio-barbituric acid reactive substances(TBARS),shear force,color,and sensory properties were investigated and compared with the control *** result showed that the ultrasound treatment had no significant effect on pH values compared to the control *** cooking loss%decreased with the application of US treatment at higher temperatures,which implied a higher cooking ***,sonicated meat showed lower shear force values even at 80℃ cooking temperature,which indicates increased *** addition,lower TBARS values were recorded at 50℃ temperature in combination with ultrasound,but the other treatments were similar to the control *** application of ultrasound increased the lightness of meat with a significant decrease in lightness and *** cooked at 80℃ with US showed a significantly higher sensory score(odor,flavor,tenderness,juiciness,overall acceptability)than other treatment *** treatment of ultrasound combined with temperature was considered a promising and efficient technique for processing as it increased the perception of tenderness with less cooking losses and higher sensory attributes.

关键词： cooking treatment Application

Mining Software Repository for Cleaning Bugs Using Data Mining Technique

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Computers, Materials & Continua 2021年第10期69卷 873-893页

作者： nasir Mahmood Yaser Hafeez Khalid Iqbal Shariq Hussain Muhammad Aqib Muhammad jamal Oh-Young Song University Institute of Information Technology Pir Mehr Ali Shah Arid Agriculture UniversityRawalpindi46000Pakistan Department of Computer Science COMSATS University IslamabadAttock CampusAttock43600Pakistan Department of Software Engineering Foundation University IslamabadIslamabad44000Pakistan Department of Mathematics and Statistics Pir Mehr Ali Shah Arid Agriculture UniversityRawalpindi46000Pakistan Department of Software Sejong UniversitySeoul05006Korea

Despite advances in technological complexity and efforts,software repository maintenance requires reusing the data to reduce the effort and ***,increasing ambiguity,irrelevance,and bugs while extracting similar data during software development generate a large amount of data from those data that reside in ***,there is a need for a repository mining technique for relevant and bug-free data *** paper proposes a fault prediction approach using a data-mining technique to find good predictors for high-quality *** predict errors in mining data,the Apriori algorithm was used to discover association rules by fixing confidence at more than 40%and support at least 30%.The pruning strategy was adopted based on evaluation ***,the rules were extracted from three projects of different domains;the extracted rules were then combined to obtain the most popular rules based on the evaluation measure *** evaluate the proposed approach,we conducted an experimental study to compare the proposed rules with existing ones using four different industrial *** evaluation showed that the results of our proposal are *** and developers can utilize these rules for defect prediction during early software development.

关键词： Fault prediction association rule data mining frequent pattern mining

Improved Shark Smell Optimization Algorithm for Human Action Recognition

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Computers, Materials & Continua 2023年第9期76卷 2667-2684页

作者： Inzamam Mashood nasir Mudassar Raza jamal Hussain Shah Muhammad Attique Khan Yun-Cheol Nam Yunyoung Nam Department of Computer Science COMSATS University IslamabadWah CampusWah Cantt47040Pakistan Department of Computer Science HITEC UniversityTaxilaPakistan Department of Architecture Joongbu UniversityGoyang10279South Korea Department of ICT Convergence Soonchunhyang UniversityAsan31538Korea

Human Action Recognition(HAR)in uncontrolled environments targets to recognition of different actions froma *** effective HAR model can be employed for an application like human-computer interaction,health care,person tracking,and video *** Learning(ML)approaches,specifically,Convolutional Neural Network(CNN)models had beenwidely used and achieved impressive results through feature *** accuracy and effectiveness of these models continue to be the biggest challenge in this *** this article,a novel feature optimization algorithm,called improved Shark Smell Optimization(iSSO)is proposed to reduce the redundancy of extracted *** proposed technique is inspired by the behavior ofwhite sharks,and howthey find the best prey in thewhole search *** proposed iSSOalgorithmdivides the FeatureVector(FV)into subparts,where a search is conducted to find optimal local features fromeach subpart of *** local optimal features are selected,a global search is conducted to further optimize these *** proposed iSSO algorithm is employed on nine(9)selected CNN *** CNN models are selected based on their top-1 and top-5 accuracy in ImageNet *** evaluate the model,two publicly available datasets UCF-Sports and Hollywood2 are selected.

关键词： Action recognition improved shark smell optimization convolutional neural networks machine learning

Variable range hopping transport and dielectric relaxation mechanism in GdCrO_(3) rare-earth orthochromite perovskite

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Journal of Rare Earths 2024年第7期42卷 1304-1316,I0004页

作者： Muhammad Javed Ayaz Arif Khan jamal Kazmi Naeem Akbar Said nasir Khisro Amanullah Dar Aleem Dad Khan Tareen Mohd Ambri Mohamed Department of Physics The University of Azad Jammu and KashmirMuzaffarabad13100Pakistan Department of Physics University of Kotli Azad Jammu and KashmirKotli11100Pakistan Institute of Microengineering and Nanoelectronics Universiti Kebangsaan Malaysia43600BangiSelangorMalaysia Department of Mathematics University of Kotli Azad Jammu and KashmirKotli11100Pakistan

The polycrystalline GdCrO_(3)(GCO)perovskite orthochromite was synthesized by the sol-gel auto-combustion *** Rietveld refined X-ray diffraction(XRD)profile of GCO confirms that the orthorhombic phase crystallizes in perovskite crystal structure with space group *** transmission electron microscopy and selected area electron diffraction divulge the polycrystalline nature of the perovskite *** field emission scanning electron microscopy(FESEM)images reveal the microstructural polyhedral growth of grains separated by sharp grain *** chemical states of the ions present in the compound were investigated by X-ray photoelectron spectroscopy(XPS)studies,and the electrical pathways were *** impedance studies were carried out in the experimental frequency and temperature ranges of 40 Hz-4 MHz and 178-408 K,*** equivalent circuit model(RGQG)(RGBQGB)resolves the impedance response into two contributions originating from the intra-grain and inter-granular micro-constituents of the *** electrical conduction mechanism is based on the Mott variable range hopping *** complex electric modulus studies demonstrate the short-and long-range mobility of the charge carriers and rule out the presence of electrode effects on the dielectric relaxation mechanism of the *** decreasing pattern of dielectric permittivity with frequency is explained by the Maxwell-Wagner type of *** frequency dependence of the loss factor exhibits the presence of thermally activated relaxation time distribution in the material.

关键词： Auto-combustion Perovskite Electro-ceramic Dielectric Electrical transport Impedance

Deep Learning-Based Classification of Fruit Diseases:An Application for Precision Agriculture

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Computers, Materials & Continua 2021年第2期66卷 1949-1962页

作者： Inzamam Mashood nasir Asima Bibi jamal Hussain Shah Muhammad Attique Khan Muhammad Sharif Khalid Iqbal Yunyoung Nam Seifedine Kadry Department of Computer Science HITEC UniversityTaxila47040Pakistan Department of Computer Science COMSATS University IslamabadWah CampusWah Cantt47080Pakistan Department of Computer Science COMSATS University IslamabadAttock CampusAttockPakistan Department of Computer Science and Engineering Soonchunhyang UniversityAsanSouth Korea Department of Mathematics and Computer Science Faculty of ScienceBeirut Arab UniversityBeirutLebanon

Agriculture is essential for the economy and plant disease must be *** recognition of problems is important,but the manual inspection is slow,error-prone,and has high manpower and time *** intelligence can be used to extract fruit color,shape,or texture data,thus aiding the detection of ***,the convolutional neural network(CNN)techniques show a massive success for image classification *** extracts more detailed features and can work efficiently with large *** this work,we used a combined deep neural network and contour feature-based approach to classify fruits and their diseases.A fine-tuned,pretrained deep learning model(VGG19)was retrained using a plant dataset,from which useful features were ***,contour features were extracted using pyramid histogram of oriented gradient(PHOG)and combined with the deep features using serial based *** the fusion process,a few pieces of redundant information were added in the form of ***,a“relevance-based”optimization technique was used to select the best features from the fused vector for the final *** the use of multiple classifiers,an accuracy of up to 99.6%was achieved on the proposed method,which is superior to previous ***,our approach is useful for 5G technology,cloud computing,and the Internet of Things(IoT).

关键词： Agriculture deep learning feature selection feature fusion fruit classification

Vascular endothelial growth factor trap-eye(Aflibercept) for the management of diabetic macular edema

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World Journal of Diabetes 2013年第6期4卷 303-309页

作者： Ahmadreza Moradi Yasir jamal Sepah Mohammad Ali Sadiq Humzah nasir Salima Kherani Raafay Sophie Diana V Do Quan Dong Nguyen Retinal Imaging Research and Reading Center Wilmer Eye InstituteJohns Hopkins University School of MedicineBaltimoreMD 21287United States Stanley M Truhlsen Eye Institute University of Nebraska Medical CenterOmahaNE 68198United States

Diabetic retinopathy(DR)is the most common cause of visual loss among working age *** macular edema(DME)is an important complication of DR that affects around one third of the patients with *** treatments have been approved for DME ranging from blood pressure and glycemic control to photocoagulation and more recently the use of vascular endothelial growth factor(VEGF)*** index review discusses aflibercept(EYLEA-Regeneron Pharmaceuticals,Inc.,Tarrytown,New York,NY,and Bayer Healthcare Pharmaceuticals,Berlin,Germany)in the context of other VEGF antagonists currently available for the treatment of DME.A systematic search of literature was conducted on PubMed,Scopus,and Google Scholar with no limitation on language or year of ***-clinical studies of aflibercept have shown a higher affinity of this molecule for vascular endothelial growth factor A(VEGF-A)along with a longer duration of action as compared to other VEGF *** clinical trials have shown visual outcome results for aflibercept to be similarly favorable as compared to other available agents with the added benefit of fewer required injections and less frequent *** presents a potential exciting new addition to the armamentarium of current VEGF antagonists available for the treatment of DME and other retinal vascular ***,further studies are indicated to confirm the role,safety,and efficacy of aflibercept for DME.

关键词： Diabetic macular edema Diabetic retinopathy Anti-vascular endothelial growth factor agents Vascular endothelial growth factor trap-eye Aflibercept EYLEA