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Journal of Mountain Science 2020年第1期17卷 42-49页

作者： Ahmad KHAN Ahmad SAID imran ullah Department of Geographical Sciences University of MarylandCollege ParkMD20770USA True Green Office 20 Raffaele RoadPlymouthMA 02360USA Departments of Paediatrics and Biochemistry University of TexasSouthwestern Medical CenterDallasTexas 75235USA

In the alpine regions of Hindu Kush,Himalayas and Karakorum, climatic and topographic conditions can support the formation of peat,important for the livelihood of the local communities,and ecological services alike. These peatlands are a source of fuel for the local community, habitat for nesting birds, and water regulation at source for ***-based surveys of high-altitude peatlands are not only difficult, but also expensive and time consuming. Therefore, a method using cost-effective remote sensing technology is required. In this article we assessed the distribution and extent of highaltitude peatlands in a 2000 ha area of Broghil Valley using Landsat 8 data. The composite image was trained using a priori knowledge of the area, and classified into peatland and non-peatland land covers using a supervised decision tree algorithm. The Landsat-based classification map was compared with field data collected with a differential GPS. This comparison suggests 82% overall accuracy, which is fairly high for high altitude areas. The method was successfully applied and has the potential to be replicated for other areas in Pakistan and the highaltitude regions of the neighbouring Asian countries.

关键词： Peatland distribution Chitral Qurumbar Wakhi Hindu Kush Yarkhun

Perceptual quality assessment of panoramic stitched contents for immersive applications:a prospective survey

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Virtual Reality & Intelligent Hardware 2022年第3期4卷 223-246页

作者： Hayat ullah Sitara AFZAL imran ullah KHAN Department of Computer Science Kansas State UniversityManhattanKS 66506USA Department of Software Sejong UniversitySeoul 143-747Republic of Korea

The recent advancements in the field of Virtual Reality(VR)and Augmented Reality(AR)have a substantial impact on modern day technology by digitizing each and everything related to human life and open the doors to the next generation Software Technology(Soft Tech).VR and AR technology provide astonishing immersive contents with the help of high quality stitched panoramic contents and 360°imagery that widely used in the education,gaming,entertainment,and production *** immersive quality of VR and AR contents are greatly dependent on the perceptual quality of panoramic or 360°images,in fact a minor visual distortion can significantly degrade the overall ***,to ensure the quality of constructed panoramic contents for VR and AR applications,numerous Stitched Image Quality Assessment(SIQA)methods have been proposed to assess the quality of panoramic contents before using in VR and *** this survey,we provide a detailed overview of the SIQA literature and exclusively focus on objective SIQA methods presented till *** better understanding,the objective SIQA methods are classified into two classes namely Full-Reference SIQA and No-Reference SIQA *** class is further categorized into traditional and deep learning-based methods and examined their performance for SIQA ***,we shortlist the publicly available benchmark SIQA datasets and evaluation metrices used for quality assessment of panoramic *** last,we highlight the current challenges in this area based on the existing SIQA methods and suggest future research directions that need to be target for further improvement in SIQA domain.

关键词： Virtual reality Augmented reality Panoramic image Immersive contents Stitched image quality assessment Deep learning Convolutional neural networks

A Transfer Learning-Based Approach to Detect Cerebral Microbleeds

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Computers, Materials & Continua 2022年第4期71卷 1903-1923页

作者： Sitara Afzal imran ullah Khan Jong Weon Lee Mixed Reality and Interaction Lab Department of SoftwareSejong UniversitySeoul143-747Korea

Cerebral microbleeds are small chronic vascular diseases that occur because of irregularities in the cerebrum *** and elderly people with brain injury and dementia can have small microbleeds in their brains.A recent study has shown that cerebral microbleeds could be remarkably risky in terms of life and can be riskier for patients with *** this study,we proposed an efficient approach to automatically identify microbleeds by reducing the false positives in openly available susceptibility-weighted imaging(SWI)data *** proposed structure comprises two different pretrained convolutional models with four *** stages include(i)skull removal and augmentation,(ii)making clusters of data samples using the k-mean classifier,(iii)reduction of false positives for efficient performance,and(iv)transfer-learning *** proposed technique was assessed using the SWI dataset available for 20 *** our findings,we attained an accuracy of 97.26%with a 1.8%false-positive rate using data augmentation on the AlexNet transfer learning model and a 1.1%false-positive rate with 97.89%accuracy for the ResNet 50 model with data augmentation *** results show that our models outperformed the existing approach for the detection of microbleeds.

关键词： Microbleeds deep convolutional neural network ResNet50 AlexNet computer-vision

Leveraging Augmented Reality,Semantic-Segmentation,and VANETs for Enhanced Driver’s Safety Assistance

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Computers, Materials & Continua 2024年第1期78卷 1443-1460页

作者： Sitara Afzal imran ullah Khan Irfan Mehmood Jong Weon Lee Mixed Reality and Interaction Lab Department of SoftwareSejong UniversitySeoul05006Korea Faculty of Engineering and Digital Technologies School of Computer ScienceAI and ElectronicsUniversity of BradfordBradfordUK

Overtaking is a crucial maneuver in road transportation that requires a clear view of the road ***,limited visibility of ahead vehicles can often make it challenging for drivers to assess the safety of overtaking maneuvers,leading to accidents and *** this paper,we consider atrous convolution,a powerful tool for explicitly adjusting the field-of-view of a filter as well as controlling the resolution of feature responses generated by Deep Convolutional Neural Networks in the context of semantic image *** article explores the potential of seeing-through vehicles as a solution to enhance overtaking ***-through vehicles leverage advanced technologies such as cameras,sensors,and displays to provide drivers with a real-time view of the vehicle ahead,including the areas hidden from their direct line of *** address the problems of safe passing and occlusion by huge vehicles,we designed a see-through vehicle system in this study,we employed a windshield display in the back car together with cameras in both *** server within the back car was used to segment the car,and the segmented portion of the car displayed the video from the front *** see-through system improves the driver’s field of vision and helps him change lanes,cross a large car that is blocking their view,and safely overtake other *** network was trained and tested on the Cityscape dataset using semantic *** transparent technique will instruct the driver on the concealed traffic situation that the front vehicle has *** our findings,we have achieved 97.1% *** article also discusses the challenges and opportunities of implementing see-through vehicles in real-world scenarios,including technical,regulatory,and user acceptance factors.

关键词： Overtaking safety augmented reality VANET V2V deep learning

Photodetachment of Di-atomic Negative Ion H^(-)_(2) near a Surface

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Chinese Physics Letters 2012年第5期29卷 89-92页

作者： Muhammad Haneef Saleh Mohammad Suneela Arif Jehan Akbar Nasrullah Shah imran ullah Department of Physics Hazara UniversityGarden CampusMansehraPakistan Department of Chemistry Abdul Wali Khan UniversityMardanPakistan

We describe the effects of plane surface on the photo-detached electron spectra from H^(-)_(2).A z-polarized laser is used for the detachment of *** detached electron flux and photodetachment cross section are *** exists strong dependence on the distance of the H^(-)_(2) from the surface and also on the separation of atomic centers of H^(-)_(2).The results show strong oscillations for smaller values of distances,whereas for larger values the oscillating structure disappears.

关键词： atomic oscillating separation

A systematic review of current and emergent manipulator control approaches

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Frontiers of Mechanical Engineering 2015年第2期10卷 198-210页

作者： Syed Ali AJWAD Jamshed IQBAL Muhammad imran ullah Adeel MEHMOOD Department of Electrical Engineering COMSATS Institute of Information Technology Islamabad 44000 Pakistan

Pressing demands of productivity and accuracy in today＇s robotic applications have highlighted an urge to replace classical control strategies with their modem control counterparts. This recent trend is further justified by the fact that the robotic manipulators have complex nonlinear dynamic structure with uncertain parameters. Highlighting the authors＇ research achievements in the domain of manipulator design and control, this paper presents a systematic and comprehensive review of the state-of-the-art control techniques that find enormous potential in controlling manipulators to execute cutting- edge applications. In particular, three kinds of strategies, i.e., intelligent proportional-integral-derivative （PID） scheme, robust control and adaptation based approaches, are reviewed. Future trend in the subject area is commented. Open-source simulators to facilitate controller design are also tabulated. With a comprehensive list of references, it is anticipated that the review will act as a firsthand reference for researchers, engineers and industrialinterns to realize the control laws for multi-degree of freedom （DOF） manipulators.

关键词： robot control robust and nonlinear control adaptive control intelligent control industrial manipulators robotic arm

Exploring the Latest Trends in AI Technologies: A Study on Current State, Application and Individual Impacts

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Journal of Computer and Communications 2024年第8期12卷 21-36页

作者： Md Ahsan ullah imran Mustakim Bin Aziz Anamika Tiwari Sanchita Saha Ashok Ghimire Department of Business Administration Westcliff University 17877 Von Karman Ave 4th Floor Irvine CA 92614 United States

Artificial Intelligence (AI) offers immediate insights to penetrate the overwhelming volume of everyday security warnings. The current body of research mostly examines the use of AI in the field of cyber security, but it does not adequately address the visual inspection of AI applications. The advent of AI has led to noticeable structural changes in the field of cyber security. This study facilitates the advancement of theory about artificial intelligence (AI) across several fields. It assists researchers in determining research paths and serves as a resource for corporations and governments to strategize the use of AI in areas such as cyber security, education, healthcare, and work-life balance. Numerous nations, organizations, and writers are intricately linked via cooperation and citation networks. Artificial intelligence is an academic discipline focused on the research and advancement of computer systems, robots, and other creations that possess human-like intelligence, which is defined by cognitive powers, learning capabilities, and adaptability. This research aimed to evaluate the present trajectory and influence of Artificial Intelligence (AI) on education, healthcare, cybersecurity, and work-life balance. Based on an initial examination, this research focused on evaluating the use and impact of AI in many domains, using a specific narrative and framework. The findings of this study will enable researchers to comprehend the prevailing pattern and the influence of people on the integration of AI into daily life.

关键词： Artificial Intelligence Cybersecurity Healthcare AI on Education Work-Life Balance

Applying the Technology Acceptance Model (TAM) in Information Technology System to Evaluate the Adoption of Decision Support System

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Journal of Computer and Communications 2024年第8期12卷 242-256页

作者： Md Azhad Hossain Anamika Tiwari Sanchita Saha Ashok Ghimire Md Ahsan ullah imran Rabeya Khatoon Department of Business Administration International American University 3440 Wilshire Blvd STE 1000 Los Angeles CA 90010 United States Department of Business Administration Westcliff University 17877 Von Karman Ave 4th Floor Irvine CA 92614 United States

With the beginning of the information systems’ spreading, people started thinking about using them for making business decisions. Computer technology solutions, such as the Decision Support System, make the decision-making process less complex and simpler for problem-solving. In order to make a high-quality business decision, managers need to have a great deal of appropriate information. Nonetheless, this complicates the process of making appropriate decisions. In a situation like that, the possibility of using DSS is quite logical. The aim of this paper is to find out the intended use of DSS for medium and large business organizations in USA by applying the Technology Acceptance Model (TAM). Different models were developed in order to understand and predict the use of information systems, but the information systems community mostly used TAM to ensure this issue. The purpose of the research model is to determine the elements of analysis that contribute to these results. The sample for the research consisted of the target group that was supposed to have completed an online questionnaire about the manager’s use of DSS in medium and large American companies. The information obtained from the questionnaires was analyzed through the SPSS statistical software. The research has indicated that, this is primarily used due to a significant level of Perceived usefulness and For the Perceived ease of use.

关键词： Information Technology Decision Support System Business Organization in USA Technology Acceptance Model

Use of Gramoxone 20SL (Paraquat) Prior to Land Preparation in Controlling Aquatic Weeds in Wetland Areas of Bangladesh

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American Journal of Plant Sciences 2014年第3期5卷 358-363页

作者： Md. Masud Rana Md.Abdullah Al Mamun Mohammad Habibullah Md. imran ullah Sarkar Md. Abdul Jalil Mridha Agronomy Division Bangladesh Rice Research Institute Gazipur Bangladesh Product Evaluation & Assessment Syngenta Bangladesh Limited Dhaka Bangladesh Soil Science Division Bangladesh Rice Research Institute Gazipur Bangladesh

Emergent aquatic weeds present in the monocropped fresh water wetland area of Bangladesh create a hazard in land preparation by developing dense stands. A field experiment was conducted at the farmers’ field of two villages namely Mahilara and Kashemabad under Gournadi Upazila of Barisal district, Bangladesh during October 2012 to evaluate the efficacy of Gramoxone 20SL (Paraquat) in controlling emergent aquatic weeds and to find out an appropriate dose of this herbicide. Three doses of Gramoxone 20SL at 1.96 l·ha-1, 2.00 l·ha-1 and 2.04 l·ha-1 were tried with an untreated control. All treatments were laid out in a randomized complete block design and replicated thrice. There were 8 different emergent weed species infesting the field among which the most dominant weed species were Eichhornia crassipes, Pistia stratiotes, Enhydra fluctuans, Monochoria vaginalis, Echinochloa crus-galli. The results revealed that, weed control efficiency was significantly affected by different herbicidal treatments. The treatments, Gramoxone 20SL at 2.00 l·ha-1 and 2.04 l·ha-1 were controlled in all the emergent aquatic weeds more than 85% infesting both the sites. Application of non-selective herbicide Gramoxone 20SL at 2.00 l·ha-1 prior to land preparation was most effective to suppress weed dry masses in both the site resulting reduced land preparation cost up to 78.93% as compared to manual weed control.

关键词： Aquatic Weeds Gramoxone 20SL SDR Weed Control Efficiency

Comparison of Efficacy of Synthetic Pesticides with Botanical Extracts under Field Condition on Cabbage White Butterfly (<i>Pieris brassicae</i>)

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Advances in Entomology 2021年第1期9卷 44-48页

作者： Aneela Kanwal Mehboob Ahmad Isma Khurshid Muhammad Pervaiz Khan Shitab Khan imran ullah Farkhanda Khan Muhammad Shahid Shoaibullah Bashir Mah Rukh Hazara agricultural research station Abbottabad Pakistan Agricultural Research Institute D. I. Khan Pakistan Agricultural Research Station Chitral Pakistan Baacha Khan University Charsadda Pakistan

Cabbage white butterfly (Pieris brassicae) is one of the important insect pests of cabbage crop which causes remarkable quantitative or qualitative crop losses. The research was conducted at Hazara Agricultural research station, Abbottabad (Pakistan) to study the effect of different new chemical insecticides, botanical oil and neem seed oil (Azadirachta indica A. Juss.) on the population density of P. brassicae. The study showed that neem oil had a significant effect on population of P. brassicae in comparison to control treatment. So, neem oil alone or in combination with insecticides can be used for control of P. brassicae in vegetable crops for a safer food supply.

关键词： Botanical Extracts Efficacy Cabbage White Butterfly