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Substance Use Disorders (SUDs) are a global psychiatric problem associated with a high mortality and morbidity rate. Consequently, contemporary advances in addiction have generated the potential for assessing the efficacy of Mindfulness Based Interventions (MBIs) for treating those with SUDs and their Relapse Prevention. The current case study focuses on a 21-year-old married man referred with the presenting complaints of intake and withdrawal of Heroin. His symptoms fulfilled the criteria of...
Topics: Substance Use Disorders, Mindfulness Based Intervention, Heroin Withdrawal Relapse Prevention
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The main objective of the current research was the development of the ostracism scale in the Urdu language to shed the light on this invisible harassment and abuse which is the most ignored part of society yet a very common method to exclude people from social groups. A total of 40 items developed through an adequate process with the help of William’s need and threat model.  A sample of 200 participants in the age range of 18 to 40 years was selected for data collection through a simple...
Topics: Ostracism, Self-esteem, Control, Meaningful existence, Belonging
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Sep 17, 2022 50SEA
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Notable researchers tell us about acute pain management in opioid users and how it works and which drug group works effectively in them. The purpose of our study is to manage pain in opioid users during detox without the use of Analgesics. An experimental study is conducted among 36 male patients in the age group of 25 to 55 from Punjab, Pakistan. The purposive sampling technique was used in the collection of samples due to limited resources. We divided these samples into 3 different groups...
Topics: Pain management, Opioids, Placebo, Physiotherapy, Opioid Users
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The present study was conducted to explore the impact of behavioral factors on relapse among drug addicts and moderating role of psychological factors. The study was carried out on male drug addicts from different cities in Punjab. The sample was comprised of (N = 200) male drug addicts. The sample was selected by using purposive sampling. The General Health Questionnaire, Patient Depression Questionnaire PHQ-9, Drug Abuse Screening Test-10, Perceived Stigma of Substance Abuse Scale,...
Topics: relapse, severity, coefficients, Substance
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Objective:  Many researches defined the critical predictors and significant risk factors associated with various substance use behaviors, revealing the personality traits as important determinants. Thus, the present study aimed to explore the personality constructs of individuals with a history of substance use disorder in Pakistan. Method:  The Qualitative Study was conducted through purposive sampling by selecting the professionals (psychiatrists=9, clinical psychologists=4, patients with...
Topics: Personality Traits, Personality Constructs, Substance Use Disorder, Drugs
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T he aim of this research was to construct a native scale for harassment tendency and psychometric properties for the assessment of the Harassment tendency scale according to the cultural perspective of the Urdu language used. This indigenous scale can be used by psychologists, psychiatrists and even researchers for the general population to measure the tendency of harassment among males and females as well. Utilizing existent content and information from the literature research, the initial...
Topics: Harassment Tendency, Cyber Harassment, Sexual Harassment, Psychological Harassment, Street...
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Autism spectrum disorder scale was developed for the use of diagnoses purpose of autism. This scale is consisting of 15 items in Pakistan’s indigenous language Urdu. Most autism assessment tools are available in English and were developed by Western cultures; however, when those tools are used in different cultures, biased results can be evident. So, a culture-friendly tool was dire need to be developed. A scale was developed and administered to individuals (N=143) with autism using standard...
Topics: Autism Spectrum Disorder, Scale Development, Autistic Individuals And Childhood Autism Rating Scale
he study explores the significant predictive relationship between emotional intelligence, motivation, and dysfunctional attitude among substance use patients with the role of cognitive behavior therapy. The sample was comprised of 150 addictive patients. Among 150 patients, 40 were selected for intervention. The sample was divided into two groups of 20 each in the experimental and controlled groups. Participants were selected using a purposive sampling technique from Poly Clinic Jhelum, Punjab,...
Topics: Substance Use, Emotional Intelligence, Motivation, Dysfunctional Attitude, Cognitive Behavior...
The present study was conducted in 2020-2021 to record the inventory and altitudinal distributions of plants and biodiversity in Nalter valley. The study area is situated at 36 N and 74 E, with 27,206 ha area in the Karakoram highlands. It is 40km away from Gilgit city. The purpose was to explore the natural floral inventory, life-form structure, and the biological spectrum of the plant biodiversity. This study recorded 126 species belonging to 106 genera and 48 families. The life forms of the...
Topics: Biological Spectrum, Phytosociological Study, Life Form, Quartets, Stand
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Overtaking at high speeds, especially on non-divided roadways, is a leading cause of traffic accidents. During overtaking maneuvers, humans are more likely to make mistakes due to factors that cannot be predicted. For overtaking operations in autonomous vehicles, prior research focused on image processing and distant sensing of the driving environment, which didn't consider the speed of the surrounding traffic, the size of the approaching vehicles, or the fact that they could not see beyond...
Topics: Road Accident, Overtaking, Blockchain, V2V routing, Machine Learning
A Systematic Literature Review (SLR) was conducted using tailored searches based on our study topic. We completed all SLR processes, including periodic reviews as SLR. Researchers may find out about the justification, the review procedure, and the research question by using search keywords. This paper describes the trial approach to elaborate the search keywords, resources, restrictions, and validations that were, and explores search strategies made. The reviews are carried out by assessing the...
Topics: Malware Classification, Malicious Software Factors, Malware Detection technique, Malicious Infection
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Hog deer (Axis porcinus) is one of the least studied animal species in Pakistan. It belongs to Order Artiodactyla and the family Cervidae. IUCN classified Axis porcinus as an endangered species in 2008. The present study was conducted to investigate the effects of varying environmental exposure, genders, and seasonal changes on captive hog deer (A. porcinus) at Lahore Zoo, Safari Zoo, and Jallo Park in Lahore, Pakistan. Non-invasive techniques were used to monitor stress levels in hog deer. For...
Topics: Captive Environment, Glucocorticoids, Cortisol, Stress levels, Hog deer
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Sep 17, 2022 50SEA
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New variant of Covid 19 poses a threat to re-imagine and re-design our cities, which will result in to reduced transportation and a brighter sky. The key objective of the study intends to enlighten how the new variant of COVID-19 may effect cities and their residents socially, economically, psychologically and to suggest measures to combat the effects of a pandemic. Cities are growth engines, and policymakers can help them become more sustainable by creating jobs, reducing poverty, and...
Topics: Sustainable, development, resilient cities, Covid-19 pandemic
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Smog, a combination of polluted gasses or smoke with fog, brings a harmful breathing environment that mostly exists during the pre-winter season in Lahore. The smog episodes are prevailing over the city which are getting aggregated by smoky fumes, impurities, and dust particles. Severe smog episodes were observed over Lahore mainly during November and December 2019, resulting in adverse environmental conditions e.g., eye irritation, breathing difficulty, and creating very low visibility in and...
Topics: Smog, Particulate Matter, Land use, Land cover
Antrhopogenic activities are responsible for exponential increase in temperature in recent dacades. To examine this variation, data from 30 meteorological stations in Pakistan's largest cities were examined to determine the annual average and highest temperatures between 1981 and 2020. A combination of parametric and non-parametric tests, including Sen's slope estimator, the Mann-Kendall trend test, and linear regression, were utilized for the analysis. NASA Power Data Access Viewer provides...
Topics: Climate change, Temperature Shift, Wheat, Crop Growing Season
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Background:  Very Low Birth Weight (VLBW) is due to multiple gestations and reproductive-assisted techniques. Neonatal complications mainly arise in infants with VLBW and Extremely Low Birth Weight (ELBW). The main objective was to study the risk factors associated with VLBW and to conduct a meta-analysis. Methods:  A meta-analysis was done to present the most recent risk variables for VLBW. Electronic databases were searched for information on the suggested topic. Using STATA version 14, the...
Topics: Very Low Birth Weight, Meta-Analysis, Extremely LBW, Per Capita GDP, Hypocalcemia, Hypoglycemia
Nitrogen is one of chemical gases which has drastic impact on human health. It is also renowned globally as a major component of climate change. Lahore city has been selected as the study area to conduct this research. The basic objective of this study is to assess the temporal and seasonal change of Nitrogen Dioxide (NO 2 ) concentration in the study area and its effects on human health. For this purpose, the two-phase methodology has been adopted. In the first phase, primary and secondary...
Topics: Nitrogen Dioxide Concentration, Interpolation, Human Health, Climate Change
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Ontology is becoming a famous technique for converting unstructured data into meaningful data which acts as a key factor for decision-making, planning, and implementation in many areas, and agriculture is one of them. There are a lot of issues in agriculture practices e.g., farming, application of pesticides, and provision/ distribution of water to crops. However, some of the issues are critical and need to be resolved urgently to save cultivation from big hazards. In this paper, we have...
Topics: Semantic Web, Agriculture, Data integration, Semantics of data and processes, Ontologies
Link failure is still a severe problem in today's networking system. Transmission delays and data packet loss cause link failure in the network. Rapid connection recovery after a link breakdown is an important topic in networking. The failure of the networking link must be recovered whenever possible because it could cause blockage of network traffic and obstruct normal network operation. To overcome this difficulty, backup or secondary channels can be chosen adaptively and proactively in SDN...
Topics: SDN, Link failure, Failure Recovery, Machine Learning, Linear Regression
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A disaster is an unforeseen calamity that causes damage to property or brings about a loss of human life. Quick response and rapid distribution of vital relief items into the affected region could save precious lives. In this regard, disaster management comes into play, which is highly dependent on the topography of the disaster-hit area. If the disaster-hit area has little or no road connectivity, the use of drones in such areas becomes essential for the delivery of health packages. Since the...
Topics: Drone Charging Stations, Prepadness and Response, Drone Path Planning, Energy Optimization, Drone...
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Aug 21, 2022 50SEA
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Due to the tremendous amount of data available today, extracting essential information from such a large volume of data is quite tough. Particularly in the case of text documents, which need a significant amount of time from the user to read the material and extract useful information. The major problem is identifying the user's relevant documents, removing the most significant pieces of information, determining document relevancy, excluding extraneous information, reducing details, and...
Topics: Data mining, Text mining, Text summarization, Topic Signature, Density peak, Update Summarization
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Aug 21, 2022 50SEA
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In this modern era of the rapid increase in population, a high rise in technology, and a large number of machinery installed, fuel demand has increased significantly. Non-renewable energies contribute a lot to producing energy worldwide, and that's why they are decreasing at an alarming rate. As an alternative, renewable energies have a high potential to solve this upcoming issue. In this paper, sunlight is utilized for the location of Islamabad, and an active solar tracker is designed. The...
Topics: Renewable Energy, Solar Energy, Tracking mechanism, LDR and Solar panels, Arduino UNO
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Double auction (DA) algorithm is widely used for trading systems in cloud computing. Distinct buyers request different attributes for virtual machines. On the other hand, different sellers offer several types of virtual machines according to their correspondence bids. In DA, getting multiple equilibrium prices from distinct cloud providers is a difficult task, and one of the major problems is bidding prices for virtual machines, so we cannot make decisions with inconsistent data. To solve this...
Topics: Cloud Computing, Double Auction, Artificial Neural Network, Regression Problem, Supervised Machine...
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Blockchain is a distributed ledger in which transactions are grouped in blocks linked by hash pointers. Blockchain-based solutions provide trust and privacy because of the resistance to the inconsistency of data and advanced cryptographic features. In various fields, blockchain technology has been implemented to ensure transparency, verifiability, interoperability, governance, and management of information systems.  Processing large volumes of data being generated through emerging technologies...
Topics: Blockchain, consensus algorithms, performance evaluation, IoT, big data
In power systems, DC/DC converters are used to reduce or improve the dc voltage level. A dc/dc converter's major difficulty is controlling the output dc voltage closer to the desired set-point voltage at the load and input voltage fluctuation. Designers aim for better efficiency, reduced harmonics, and higher power while keeping converter size and power under safe limits. Several control techniques are used in dc/dc converters to overcome the problems mentioned above. This paper compares the...
Topics: Buck converter, PID control, Fuzzy logic control (FLC), Sliding mode control (SMC)
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Vegetable spoilage produces various microbes of different origins like parasites, fungi, viruses, and bacteria. This causes infections and diseases in vegetables, and later on, when humans eat these vegetables; diseases induce in humans. So, to prevent human diseases, the symptoms of various infections in vegetables must be known. Moreover, the conditions supporting the infections in vegetables must be understood. So that spoiled vegetable consumption can be prevented. Sometimes spoiled...
Topics: Contamination, Antimicrobial resistance, Micribial growth, etiological agent, causative agent.
Crime is a social stigma that needs to be addressed beyond talks. The use of geospatial information technology has become well recognized within the fields of forensic sciences and criminology, especially in the developed world. The current study is an attempt to analyze the distribution and trends of various crime types, including rape, murder, baby kidnapping, vehicle theft, and dacoity in district of Kasur Punjab, Pakistan during the year 2021. (Police station wise crime data) was collected...
Topics: Crime Analysis, Geographical Information System, Crime Mapping, Daysmetric maps
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GPS signal loss is a major issue when the navigation system of rovers is based solely on GPS for outdoor navigation rendering the rover stuck in the mid of the road in case of signal loss. In this study, a low-cost IMU aided GPS-based navigation system for Ackermann Steered mobile robots is presented and tested to cater to the issue of GPS signal loss along. GPS path is selected and fed using the android application which provides real-time location tracking of the rover on the map embedded...
Topics: Autonomous navigation of Rover, GPS, IMU, User interactive Navigation, Location tracking and...
This research presents the Optimal Reactive Power (Qc) selection for a single-tuned passive filter. DC drives are very popular in the industrial zone due to their high performance, flexibility, easy control, and low cost. DC drives operate by giving supply from an AC utility and AC to DC can be converted using the AC-DC converter. But this conversion introduces harmonics in the input supply current that affect the performance of the DC drive and also cause serious problems for the overall power...
Topics: DC drives, Harmonic distortion, Optimal selection, Curve fitting technique, Passive filter,...
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Maintaining inventory level to avoid high inventory costs is an issue for Cardiac Product Distribution Companies (CPDCs) because of the shortage of their products which affect their sale and causes loss of the customer. This research aims to provide a method for predicting the upcoming demand of the Balloon and Stents by using time series analysis (Auto Regression Integrated Moving Average) and Deep learning (Long-Short Term Memory). To conduct this research, data was collected from...
Topics: Cardiac Products, Balloons, Stents, Time Series, Deep Learning, Decision Support
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Programming is the cornerstone of computer science, yet it is difficult to learn and program. The syntax of a programming language is particularly challenging to comprehend, which makes learning arduous and affects the program's testability. There is currently no literature that definitively gives quantitative evidence about the effect of programming language complex syntax. The main purpose of this article was to examine the effects of programming syntax on the complexity of their source...
Topics: Cyclomatic Complexity, Programming Languages, Syntax, Java, Python.
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Shopping became one of the most important tasks that people conduct on a daily basis. A mart is a place where various things can be purchased within a roof. Customers must patiently wait in lengthy lines, especially on weekends, until it is their turn. Due to people's busy schedules, this is a time-consuming process that leaves them exhausted and dissatisfied with the services provided at the checkout counters. We proposed and implemented an autonomous trolley with an electronic billing system....
Topics: Smart trolley, E-billing, RFID, Internet of things, LCD, Internet Banking
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A house is considered a basic human need. It provides identity, security, belonging, and privacy. Regrettably, Pakistan is facing a housing backlog of almost 10 million units. This research aims to diagnose the problems related to accommodation that domestic workers are facing and to assess the pragmatic options for housing the labor class groups. Data for this research was collected from the residents, domestic workers, and relevant authorities through a structured questionnaire survey in...
Topics: housing provision, domestic workers, accommodation, demand, Lahore
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Biodiversity is representative of a healthy ecosystem. Anthropogenic activities, including habitat degradation, hunting, and fragmentation, are major circumstances which results in species extinction. The present study was conducted to explore avian fauna and role of Daphar Forest Sanctuary, Mandi Bahauddin, Pakistan, in its conseration. Study was carried out for 12 months, and 12 visits were made during 1 st  January 2020 – 31 st  December 2020. The visits were paused during periods of...
Topics: Avian Fauna, Biodiversity, Daphar Forest Sanctuary, Pollution, Poaching
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Jul 26, 2022 50SEA
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The rapid growth of computer networks has caused a significant increase in malicious traffic, promoting the use of Intrusion Detection Systems (IDSs) to protect against this ever-growing attack traffic. A great number of IDS have been developed with some sort of weaknesses and strengths. Most of the development and research of IDS is purely based on simulated and non-updated datasets due to the unavailability of real datasets, for instance, KDD '99, and CIC-IDS-18 which are widely used datasets...
Topics: ML, IDS, Dataset, Dataset Generation method, Traffic Capture, Normal & Attack Traffic
Jalalabad is a small village in Gilgit District in Pakistan, located around 20 km east of Gilgit city. Jalalabad village is one of the beautiful valleys located at 35°53.921 N latitude, 074°29.382 E longitude at an altitude of 1500. The present study was carried out from July-August 2021-2022 and was comprised of two main parts. The first part was floristic diversity, the second part was phytosociological studies. The collected specimens consist of (156) plant species that belonged to 119...
Topics: Life-form, Habit categories, Familiy, ecological zones, taxa
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Cardiac disease is the major cause of deaths all over the world, with 17.9 million deaths annually, as per World Health Organization reports. The purpose of this study is to enable a cardiologist to early predict the patient’s condition before performing the echocardiography test. This study aims to find out whether diastolic function or diastolic dysfunction using symptoms through machine learning. We used the unexplored dataset of diastolic dysfunction disease in this study and checked the...
Topics: Diastolic Dysfunction, Random Forest, J.48, Logistic Regression, SVM
Rhizosphere fungi are strongly associated with plant growth and health by providing nutrients and antagonizing pathogens. Commercially, fungus has multipurpose applications in several sectors including beverages, food items and in medicines. Current study aimed to reveal the core fungal community structure of the two leading cereal crops that are  Zea mays  L. and  Triticum aestivum  L. The rhizosphere fungal community was explored via morphology, biochemistry and internal transcribe spacer...
Topics: Fungi, Metagenomics, Pathogen, Nutrients, Rhizosphere
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Introduction:  Wireless Sensor Networks (WSN) is a collection of large number of small sensor nodes which communicate sensed data over a radio channel covering wide geographical region. Problem statement:  A number of algorithms have been developed to enhance the network lifetime of WSN by efficiently utilizing the sources of energy. The most commonly used approach is clustering that is prone to uneven load balancing and instability issues. Furthermore, topological changes in WSN structure...
Topics: Vornoi Diagram, wireless charging, mobile nodes, routing protocol, clustering, energy harvesters
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Jun 29, 2022 50SEA
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Human has aptitude to understand the knowledge from different life circumstances, experiences for acquire from these experiences and use itself for the erudition of Common Sense acquaintance for making the imperative conclusions in life. That is principal alteration between Out-dated Artificial Intelligence (AI), Expert Systems (ES) and Humans. Due to this capability, human could directly handle conclusion circumstances but in systems they have deficiency of generality, rules state of mind and...
Topics: Expert System, Knowledge Acquisition, Sentimental Analysis, Opinion Mining, Common-Sense
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It is a challenging task to interpret sign language automatically, as it comprises high-level vision features to accurately understand and interpret the meaning of the signer or vice versa. In the current study, we automatically distinguish hand signs and classify seven basic gestures representing symbolic emotions or expressions like happy, sad, neutral, disgust, scared, anger, and surprise. Convolutional Neural Network is a famous method for classifications using vision-based deep learning;...
Topics: Pakistan Sign Language, Hand Gestures, Convolutional Neural Network, VGG16, Transfer Learning
The phenomenon of commercialization of residential properties is taking place rapidly. Although conversion of landuse from residential to commercial in built-up areas is not new in developing countries but planned housing schemes also start experiencing this land-use conversion, and now are no more predominantly residential. Furthermore, declaring a road commercial by the competent authorities, even without taking necessary improvements in infrastructure and consent of the community, further...
Topics: Commercialization, Impact Assessment, Land Use Conversion, People’s Perception, Residential...
Urban Planning plays a crucial role in managing the systematic growth of the cities. Over time, it has been observed that institutions dealing with the planning, development & regulations are suffering from unproductivity because of numerous reasons. The objective of the study is to find the social, psychological, administrative, structural & academic factors affecting the most in the non-performance and unproductivity of the institutions dealing with the Urban Planning &...
Topics: Urban Planning, unproductivity, factors, efficiency, Indecisiveness.
Modern nanotechnology is playing a vital role in our daily life by contributing in different domains such as usage of nanoparticles for target-specific drug delivery system, as these nanoparticle are being used as scratch proof coating on glass for tracking of biomolecules. Some emerging applications of nanoparticles include usage of nanoparticles for diagnostic purposes such as biomedical imaging and as green technology producing nano pesticides. The use of endophytic or plant beneficial...
Topics: Biocontrol, Biosynthesized Nanoparticles, Photosynthesis, Microbial synthesis, Green Technology,...
The term "Urban Heat Island" (UHI) refers to a city or metropolitan area that is significantly warmer than its surroundings. Heatwaves are one of the most visible hazards associated with UHI, that intensified exponentially over the last two decades. The overall approach of the study is initially based on a review of the literature and qualitative studies. The findings were applied to the case study to obtain empirical shreds of evidence. The study investigated the spatiotemporal...
Topics: Urban Heat Island (UHI), Land Surface Temperature (LST), Normalized Difference vegetation Index...
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With the advancement in technology, non-linear loads, continue to increase, and the enigma of harmonics is getting more and more serious. The huge addition of electronic loads in power systems has formed the problem of harmonic generation that has resulted in many associated drawbacks. This paper aims to analyze the harmonics in advanced power electronics-based systems and describes a solution to mitigate them through two distinguished filtering techniques. A rigorous analysis is done...
Topics: Total Harmonic Distortion (THD), Sinusoidal Pulse Width Modulation (SPWM), Passive Harmonic...
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Open-source code hosted online at programming portals is present in 99% of commercial software and is common practice among developers for rapid prototyping and cost-effective development. However, research reports the presence of vulnerabilities, which result in catastrophic security compromise, and the individual, organization, and even national secrecy are all victims of this circumstance. One of the frustrating aspects of vulnerabilities is that vulnerabilities manifest themselves in hidden...
Topics: Software Vulnerability, Software Security, Programming Portal, Vulnerability Severity
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Nowadays, the significant concern in IoT infrastructure is anomaly and attack detection from IoT devices. Due to the advanced technology, the attack issues are increasing gradually. There are many attacks like Data Type Probing, Denial of Service, Malicious Operation, Malicious Control, Spying, Scan, and Wrong Setup that cause the failure of the IoT-based system. In this paper, several machine learning model performances have been compared to effectively predict the attack and anomaly. The...
Topics: IoT Attacks, IoT Anomalies, Random Under Sampling, Machine Learning
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In many large organizations, there is an Enterprise Resource Planning (ERP) system that needs to be integrated with a third-party system to provide real-time services to their customers. To achieve this, these organizations’(ERP) systems should have inbound (IB) and outbound (OB) integration capability through APIs. In this paper, we have proposed and implemented a Hybrid Integration Model (HIM) in Industry 4.0 for Lean Management. This research was implemented in an Airline Travel Company...
Topics: : System Integration, Industry 4.0, Lean Management, Inbound and Outbound Integration, ERP, General...
The current study was conducted in Khunjerab National Park which is situated in the subalpine zone. The study area was thoroughly surveyed to ensure the maximum collection of flowering plants diversity. The work aimed to investigate the ecological significance of floral structure and the biological spectrum of prevailing flowering plants' biodiversity in the study area. For this purpose, we recognized four ecological zones based on altitude in the park namely the subalpine zone (3000m to...
Topics: biodiversity, flora, phenology, life-form, habit categories
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Glaciers can be an important indicator of climate change. In Pakistan, glaciers are found in the Northern Part of the country. In this study, we have discussed the occurrence of surge velocity, lake formation, and outburst of Shisper Glacier, Hunza, Gilgit, and Baltistan. To conduct this study satellite remote sensing techniques have been used. For this purpose, Sentinel-2 and Landsat 8 have been downloaded for 2015-2019. While to examine the elevation difference ASTER 2000 and SRTM 2014...
Topics: Remote Sensing, Surging, Morphometric Analysis, Ice-Dammed Lake, Normalized Difference Snow Index...
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Food borne illnesses are common in both developed as well as developing countries. The majority of foodborne diseases are caused by consuming contaminated meat products. This study aimed to evaluate the microbial contamination in different meat samples. Chicken (n=20), Mutton (n=20) and beef (n=20) samples were collected from 10 towns. Total viable count (TVC) and Total coliform count (TCC) in different meat samples were checked. Microscopic, macroscopic and biochemical profiling of isolates...
Topics: Microbial load, raw meat, natural preservatives, antibacterial activity, meat spoilage.
Waste water from industrial discharged into other water bodies that pose serious risks to human health as well as the environment. The oil and ghee industries are also the main contributors to water pollution along with various other industries. The present study aimed to evaluate microbial load in waste water of oil industries in Lahore and its treatment using chemical and natural coagulants. Water samples were collected from three selected oil and ghee industries in Lahore. Physicochemical...
Topics: Wastewater treatment, natural coagulants, chemical coagulants, microbial contamination
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cognitive processes are constantly under critical relevance in the field of neuroscience. In the examination of Electroencephalogram (EEG) data, frequency bands are always significant because they determine how the brain responds to various activities and circumstances in different situations. However, it is usually accepted that each brain region is associated with a certain activity, such as auditory, visual, or cognitive tasks. Moreover, to retrieve additional information from the brain, it...
Topics: Neuroscience, EEG, cognitive task, Wavelet Coefficients and Power Spectrum
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Blind image deconvolution, a technique for obtaining restored image as well as the blur kernel from an inexact image. This research uses spatial characteristics to tackle the problem of blind image deconvolution. To work, the proposed method does not necessitate prior information about the blur kernel. Many applications, such as remote sensing, astronomy, and medical X-ray imaging, necessitate blind image deconvolution algorithms. This study used the maximum a posteriori (MAP) paradigm to...
Topics: Blind Image Deblurring (BID), Blind Deconvolution, Maximum Posterior (MAP), Laplacian of Gaussian...
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Jun 20, 2022 50SEA
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Quackery is profoundly rooted in rural areas, , but cities are also considerably affected. Countries, whether developed or developing, are experiencing this curse. Quackery is one of the primary reasons for the recent AIDS epidemic among children in Pakistan. In this research, we have conducted two separate surveys to study the causes of quackery. The sample sizes for the public and physicians were 157 and 58, respectively. The first questionnaire was handed to the respondents based in Pakistan...
Topics: Quacks, Malpractice, Probabilistic approach, Self-medication, Android app.
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Wheat lies among the most prominent cereal crop of Pakistan which has a significant role in the stability of Pakistan’s economy. Certain biotic and a biotic factors including agro-climatic conditions, rainfall, lack of irrigation infrastructure and conventional agricultural methods are raising the risk of aphid attacks. The current study utilized satellite imagery for obtaining thermal datasets of complete wheat growth. Results revealed that rainfall is a significant parameter for the...
Topics: Aphid, Conventional Agricultural method, Moistourizing agent, Agro-climatic condition
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Sentiment analysis seeks to reveal textual knowledge of literary documents in which people communicate their thoughts and views on shared platforms, such as social blogs. On social blogs, users detail is available as short comments. A question of sentiment analysis has been raised by information across large dimensions published on these blogs. Although, some language libraries are established to address the problem of emotional analysis but limited work is available on Roman Urdu language...
Topics: Sentiment Analysis, Emotion Analysis, Multinomial Logistics Regression, Machine Learning.
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In recent years, we have witnessed a rapid rise in the mortality rate of people of every age due to cardiac diseases. The diagnosis of heart disease has become a challenging task in present medical research, and it depends upon the history of patients. Rapid advancements in the field of deep learning. Therefore, it is a need to develop an automated system that assists medical experts in their decision-making process. In this work, we proposed a novel optimized grid search-based multi-layer...
Topics: heart disease, coronary artery narrowness, block vessels, heart attack, deep learning, intelligent...
This article suggests the preventive measures for healthcare department (particularly his article suggests the preventive measures for healthcare department (particularly radiotherapy department) to reduce the probability of corona virus transmission with a resource constrained approach without affecting the work flow. COVID-19 has affected the patients as well as staff of radiotherapy department leaving a severe negative impact on the financial resources of INOR cancer hospital, Abbottabad....
Topics: COVID-19, Radiotherapy, Precautionary measures, Resource-constrained approach, Healthcare...
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The role of albedo is very important in modulating the surface energy balance of glaciers. The main objective of this study is to assess the spatiotemporal variability in surface albedo of the Karakoram glaciers in Pakistan during the summer seasons (June, July and August) for the period from 2000-2018. We used Moderate Resolution Imaging Spectroradiometer (MODIS) data to estimate the amount of glacier surface albedo. We combined the MODIS Terra- and Aqua-derived albedo products to reduce the...
Topics: 1, MODIS 2, surface albedo 3, glacier 4, climate factors 5, Karakoram.
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Land modification and its allied resources have progressively become a severe problem presently pulling the worldwide attention and now it rests at the central point of the conservation of the environment and sustainability. The present research aimed to examine the land-use changes and their impact on agricultural production using remote sensing and GIS techniques over the study area that comprised of Tehsil Shorkot, District Jhang, Punjab, Pakistan. Images were pre-processed by using the Arc...
Topics: Landuse, GIS, RS, agricultural production, Shorkot.
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Jun 20, 2022 50SEA
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Melanoma is a skin lesion disease; it is a skin cancer that is caused by uncontrolled growth in melanocytic tissues. Damaged cells can cause damage to nearby cells and consequently spreads cancer in other parts of the body. The aim of this research is the early detection of Melanoma disease, many researchers have already struggled and achieved success in detecting melanoma with different values for their evaluation parameters, they used different machine learning as well as deep learning...
Topics: Melanoma Identification, Melanoma detection, Deep Learning, VGG16, ResNet50, Data Augmentation.
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The soil is the basic medium for growth of plant as it supplies essential nutrients and water required for plant processes. The productivity of crop is highly dependent upon fertility and salinity of soil. Current study was carried out to explore and analyze the soils of Tehsil Nankana Sahib (Nankana, Shahkot, Sangilla) for its salinity, sodicity and fertility status at union council level from 2018-2021. A total 2030 soil samples were collected from three Tehsils of District Nankana Sahib,...
Topics: Organic matter, Saline-sodic soil, Soil properties, Nankana Sahib, Gypsum
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This research paper presents a disease prediction chatbot that is intelligent enough to communicate with patients to predict their disease by detecting their symptoms through natural language processing. This system allows the user to describe their medical health condition in natural language, and by processing their natural language-based statement, our system detects the symptoms, predicts the disease, and provides basic precautions as well as a brief introduction about the disease. We have...
Topics: Chatbot, Disease Prediction, Health monitoring, Healthcare
Fingerprints are commonly used in biometric systems. However, the authentication of these systems became an open challenge because fingerprints can easily be fabricated. In this paper, a hybrid feature extraction approach named Integration of Probability Weighted Spatial Gradient with Ridge Orientation (IPWSGRo) has been proposed for fingerprint liveness detection. IPWSGRo integrates intensity variation and local ridge orientation information. Intensity variation is computed by using...
Topics: PWM, Ridge Orientation, Feature integration, Ridge variation, ridge-valley pattern, Higher-order...
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Sepsis is a very fatal disease, causing a lot of causalities all over the world, about 2, 70,000 die of Sepsis annually, thus early detection of Sepsis disease would be a remedy to prevent this disease and it would be a big relief to the family of sepsis patients. Different researchers have worked on sepsis disease detection and its prediction but still the need to have an improved model for Sepsis detection remains. We compared various machine learning algorithms for Sepsis detection and used...
Topics: Sepsis detection, Machine Learning, KNN, MLP, Random Forest, Logistic Regression, decision trees,...
In recent years, number of elderly people in population has been increased because of the rapid advancements in the medical field, which make it necessary to take care of old people. Accidental fall incidents are life-threatening and can lead to the death of a person if first aid is not given to the injured person. Immediate response and medical assistance are necessary in case of accidental fall incidents to elderly people. The research community explored various fall detection systems to...
Topics: Decision tree, fall incidents, Environmental Sounds, Machine Learning, Old houses.
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Jun 20, 2022 50SEA
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The relational database is the way of maintaining, storing, and accessing structured data but in order to access the data in that database the queries need to be translated in the format of SQL queries. Using natural language rather than SQL has introduced the advancement of a new kind of handling strategy called Natural Language Interface to Database frameworks (NLIDB). NLIDB is a stage towards the turn of events of clever data set frameworks (IDBS) to upgrade the clients in performing...
Topics: Natural Language Processing, Structured Query Language (SQL), Text to Relational database, Natural...
The rapid advancement of the internet and its exponentially increasing usage has also exposed it to several vulnerabilities. Consequently, it has become an extremely important that can prevent network security issues. One of the most commonly implemented solutions is Intrusion Detection System (IDS) that can detect unusual attacks and unauthorized access to a secured network. In the past, several machine learning algorithms have been evaluated on the KDD intrusion dataset. However, this paper...
Topics: Intrusion detection system, Machine learning, RapidMiner, NSL-KDD and Gradient boosted tree.
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Tomatoes have enhanced vitamins that are necessary for mental and physical health. We use tomatoes in our daily life. The global agricultural industry is dominated by vegetables. Farmers typically suffer a significant loss when tomato plants are affected by multiple diseases. Diagnosis of tomato diseases at an early stage can help address this deficit. It is difficult to classify the attacking disease due to its range of manifestations. We can use deep learning models to identify diseased...
Topics: Classification of Disease Tomato Plants, Mobile-Net, Plant Disease Classification, Transfer Learning
Depression and several other behavioral health disorders are serious public health concerns worldwide. Persistent behavioral health issues have a wide range of consequences that affect people personally, culturally and socially. Major depressive disorder (MDD) is a psychiatric ailment that affects people of all ages worldwide. It has grown into a major global health issue as well as an economic burden. Clinicians are using several medications to limit the growth of this disease at an early...
Topics: Major Depressive Disorder, electroencephalogram, K-Nearest Neighbors, Support Vector Machine,...
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The usage of artificial light is excessive and improper. Earth's night picture has changed significantly from space and studies have shown that over-exposure to artificial light in the night can influence animals, the environment and human beings. The purpose of this study was to monitor and measure skylights of Lahore City and temporary light pollution from 2012-2019. The Suite-Day/Night band of the Visible Image Radiometer was used for time changes analysis with GIS and Remote Sensing tools....
Topics: Light Pollution, Sky Glow, VIIRS, SQML, Sum of lights, Mean Night-time Light, Standard deviation...
The study is a comparative analysis of water quality among two variant areas of Lahore. There are several problems regarding drinking water facilities. Drinkable water can be contaminated due to various reasons. Thus, the study highlights infrastructural causes (material of pipes and outdated pipes) of water contamination. Wall City and Gulberg are the study areas of this research. Gulberg area is far much better in various terms as compared to the wall city. Under this study, four parameters...
Topics: Water Quality, Water Contamination, pH, Total Dissolved Solids, E. coli, Arsenic, Wall City,...
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The traditional monolithic approach is widely employed in centralized software development, deployment, and reusability, as the modules are tightly connected, causing several challenges in programming. The study utilized different techniques for the easy transformation of several running monolithic applications to micro services including, Angular 2, REST API, Web application and several other architectural approaches are discussed. This review paper highlights the significance of microservices...
Topics: Transformation, Monolithic, Microservices
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The traditional monolithic approach is widely employed in centralized software development, deployment, and reusability, as the modules are tightly connected, causing several challenges in programming. The study utilized different techniques for the easy transformation of several running monolithic applications to micro services including, Angular 2, REST API, Web application and several other architectural approaches are discussed. This review paper highlights the significance of microservices...
Topics: Transformation, Monolithic, Microservices
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pulmonary diseases are very severe health complications in the world that impose a massive worldwide health burden. These diseases comprise of pneumonia, asthma, tuberculosis, Covid-19, cancer, etc. The pieces evidence show that around 65 million people undergo thechronic obstructive pulmonary disease and nearly 3 million people pass away from it each year that makes it the third prominent reason of death worldwide. To decrease the burden of lungs diseases timely diagnosis is very essential....
Topics: Attention, chest X-rays, classification, convolutional neural network, deep learning, natural...
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Pulmonarydiseases are very severe health complications in the world that impose a massive worldwide health burden. These diseases comprise of pneumonia, asthma, tuberculosis, Covid-19, cancer, etc. The pieces evidence show that around 65 million people undergo thechronic obstructive pulmonary disease and nearly 3 million people pass away from it each year that makes it the third prominent reason of death worldwide. To decrease the burden of lungs diseases timely diagnosis is very essential....
Topics: Attention, chest X-rays, classification, convolutional neural network, deep learning, natural...
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A substantial amount of research has been done to develop improved Intelligent Transportation Systems (ITS) to alleviate traffic congestion problems. These include methods that incorporate the indirect impact on traffic flow such as weather. In this paper, we studied the impact of weather conditions on traffic congestion along with more spatial and temporal factors, such as weekdays/time and location, which is a different approach to this problem. The proposed solution uses all these indicators...
Topics: Gradient Boosting, Decision Tree Algorithm, Supervised Machine Learning, Traffic Congestion
Coronavirus has affected daily lives of people all around the globe. Lungs being the respiratory organ are the most affected by such a virus. Alternative techniques for diagnosing the coronavirus involving X-rays and CT scans of the chest have been proposed. The severity of the disease, on the other hand, is a crucial component in the patient's treatment. As a consequence, an automated approach to ascertain the severity of the coronavirus on the lungs is designed to decrease the impacts of the...
Topics: Classification, Detection, Deep Learning, Severity Detection and Disease Identification
Energy conservation has been the most popular topic of the modern world. Heating, Ventilation and Air Conditioning (HVAC) systems consume approximately 10 % of the total energy of world. In order to improve the efficiency of HVAC systems, two dimensional (2D) room with inlet, outlet and heat source has been modeled. ANSYS Fluent has been used for numerical analysis of air flow in a 2D room. User Defined Functions (UDFs), which are coded in C language and hooked in ANSYS fluent, have been used...
Topics: HVAC systems, energy conservation, computational fluid dynamics, user defined functions and heat...
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An Automatic Vehicle Number Plate Recognition System (AVNPR) is a key research area in image processing. Various techniques are developed and tested by researchers to improve the detection and recognition rate of AVNPR system but faced problems due to issues such as variation in format, lighting conditions, scales, and colors of number plates in different countries or states or even provinces of a country. Douglas Peucker Algorithm for shape approximation has been used in this research to...
Topics: Number plate recognition, color detection, HSV color, Douglas Peucker Algorithm, OCR
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With the growing number of voice-controlled devices, it is necessary to address the potential vulnerabilities of Automatic Speaker Verification (ASV) against voice spoofing attacks such as Physical Access (PA) and Logical Access (LA) attacks. To improve the reliability of ASV systems, researchers have developed various voice spoofing countermeasures. However, it is hard for the voice anti-spoofing systems to effectively detect the synthetic speech attacks that are generated through powerful...
Topics: ASVspoof2019 LA dataset, Deep Learning, Spoofing countermeasure, Synthetic Speech, Voice...
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With the increase in the usage of electromagnetic devices, electromagnetic interference increased many folds. Frequency Selective Surface (FSS) provide effective shielding from unwanted frequency ranges. A thin, conformal band-stop FSS is presented in this research that provides effective electromagnetic shielding properties in X-band. The FSS acts as a band stop filter at 10 GHz. The proposed FSS has 54.7% fractional bandwidth. The design is of the dimensions 6.79 x 6.79 x 0.127 𝑚𝑚3 ,...
Topics: Frequency Selective Surface, X-Band, Electromagnetic Shielding, Flexible, compact.
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Jun 19, 2022 50SEA
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Impulse Response (FIR) filter model emulates the Inter Symbol Interference (ISI) in a wireless communication channel. An equalizer, typically an Infinite Impulse Response (IIR) filter, behaves as an inverse filter to the FIR filter to remove the effects of the ISI. IIR filters are generally avoided due to tractability issues, and an FIR filter, with an adaptive signal processing algorithm to minimize the error due to the ISI, is deployed at the receiver. However, the filter is observed to...
Topics: adaptive, filter, ISI, multirate, equalization.
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Skin cancer is an uncontrolled development of abnormal skin cells potentially due to excessive exposure to sun, history of sunburns, less melanin, Precancerous skin lesions, moles, etc. This occur when unrepaired DNA damages the cells of the skin. It is one of the diseases that are viewed on its quick evolution and the most common type of cancer that endangers life. Researchers have implemented several machine learning and deep learning techniques for classification of skin cancer. In this...
Topics: skin cancer, classification, ISIC, CNN, LR, NB, DT and KNN
Heat exchangers are employed in numerous applications of industry, automotive and air conditioning systems. The efficacy of heat exchangers depends upon various factors e.g., Reynolds number (Re) of the fluids, geometry of heat exchanging surfaces, and the Prandtl number of the cooling air. In this paper, the working of a crossflow heat exchanger with elliptical tubes is simulated numerically for 5000 < Re < 20000 at its maximum operating temperature of 323K. The tubes were...
Topics: Heat transfer, relative humidity, Nusselt number, Prandtl number and Reynolds number
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Electric Load Forecasting (ELF) is one of the challenges being faced by the Power System industry. With the ever-growing consumer demand, power generating companies struggle to manage and provide an uninterrupted power supply to the users. Over the past few decades, the introduction of smart grids and power deregulation has changed load forecasting dynamics. Most of the current research focuses on short-term load forecasting (STLF), involving an hour to a week’s time forecasting. Various...
Topics: Electric load forecasting, Power load, Modelling electricity loads, Long term/ Short term...
The thyristor is a power electronics device that is widely used in various electrical appliances due to its lower on-conduction losses, easyavailability, lower switching loss, greater efficiency and cost-benefit. Mostly a thyristor is used in rectifiers and variable-speed drives. Almost 70% of loads used in the world consists of induction motors in various types and forms. In this work, a thyristor-based controller is used to control the speed of a single phase induction motor by adjusting the...
Topics: AC-AC Voltage controller, Firing angle control, Capacitor start induction motor, Speed, Power...
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Jun 19, 2022 50SEA
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Finger vein recognition technology is a novel biometric technology with multiple features such as live capture, stability, difficulty in stealing and imitating, and more in the field of information security that has been utilized in a wide range of applications. In this proposed method, the finger region is separated from the background using a Sobel Edge detector and a Poly ROI which helps shape the finger. The background separation enhancement of low contrast using dual contrast limited...
Topics: biometric, contrast limited adaptive histogram equalization, Sobel edge detector, poly region of...
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 social media platforms, crowd-users extensively interact and contribute information related to software applications. Usually, crowd-users discuss software features or hot issues and record their opinions about the software applications under discussion either in textual form or via end-user votes. Such requirements-related information is considered a pivotal alternative source for requirements engineers to the already existing in-house stakeholders in order to illustrate decision-making....
Topics: CrowdRE, Argumentation, Goal Modeling, Requirements, user forum.
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Smart cities utilize digital technologies for the improvement of its services’ quality and performance by reducing resources’ cost and consumption, with a commitment of action and efficiency to its citizens. The increased urban migration has led to many problems in cities, such as traffic congestion, waste management, noise pollution, energy consumption, air pollution, etc., as nowadays COVID-19 pandemic has seized the whole world. So, it is necessary to carry out its standard operating...
Topics: Smart City, Internet-of-Things, Lightweight Security Mechanism, Blockchain, Smart Contract
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The irrigation system throughout the world is affected by the variations in water content due to different soil structure, textures and climate change. The irrigation system supplies sufficient water to the agricultural fields in order to fulfill the prerequisites. The measurement of soil moisture content (62%) is crucial for precision irrigation and sustainable agricultural system. Site specific agricultural system was utilized to overcome all issues related to soil water moisture contents in...
Topics: Remote Sensing, Soil Moisture, Reflectivity index, GPS, Site-Specific Irrigation
Road Traffic Accident (RTA) is a growing public issue and fall among the four top causes of mortality and morbidity globally. The main objective of this study was to identify the causes and protective measures of road traffic accidents in Bahawalpur City. Primary data was gathered through a structured questionnaire during a field survey in selected five public places as sample sites i.e. Larry Ada, University Chowk, Bahawal Victoria Hospital (BVH), One Unit Chowk, and Melad Chowk. Secondary...
Topics: Road Traffic Accidents, Causes, Protection, Bahawalpur, Pakistan
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Coal is a carbon containing non-renewable fossil fuel and one of the major contributors of climate change and global warming. We used TANSO FTS instrument in order to obtain the level of atmospheric carbon dioxide through datasets obtained from GOSAT satellite. GIOVANNI was also used to obtain atmospheric concentration of various gases. Burning of coal causes emission of greenhouse gases (GHG) and black carbon (BC) in atmosphere which are responsible for nearly 0.3°C of 1°C rise in...
Topics: Black Carbon, Carbon Dioxide, Global Warming, Coal Consumption
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Elderly activity detection is one of the significant applications in machine learning. A supportive lifestyle can help older people with their daily activities to live their lives easier. But the current system is ineffective, expensive, and impossible to implement. Efficient and cost-effective modern systems are needed to address the problems of aged people and enable them to adopt effective strategies. Though smartphones are easily accessible nowadays, thus a portable and energy-efficient...
Topics: Machine Learning, Activity Detection, Elderly-People, Activity Recognition, and Accelerometer.
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The healthcare industry has a huge volume of patients’ health records but the discovery of hidden information using data mining techniques is missing. Data mining and its algorithm can help in this situation. This study aims to discover the hidden pattern from symptoms to detect early Stress Echocardiography before using Exercise Tolerance Test (ETT). During this study, raw ETT data of 776 patients are obtained from private heart clinic “The Heart Center Bahawalpur”, Bahawalpur, South...
Topics: Duke Treadmill Score, Data Mining, ETT, Support Vector Machine, Logistic Regression, J.48, Random...
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Milk contains all the essential nutrients like fats, proteins, and minerals. The utilization of contaminated food can induce a proportion of pesticides in the body. The main purpose of the study was to determine the pesticide residue and current status of Breast milk in primiparous and multiparous mothers. In a current study, a total of 50 samples were collected from different areas of Gilgit and Astore. The pesticides cypermethrin, deltamethrin, and chlorpyrifos were analyzed using Gas...
Topics: Gas Chromatography, Milk, Multiparous, Pesticides, Primiparous
Keratinolytic microorganisms and their enzymes are associated with poultry feather degradation. In the present study feathers of Gallus gallus domesticus (chicken) and surrounding dry soil was collected from a private poultry shed located in Jahman village near Lahore. Bacteria were isolated by using enrichment techniques and screened for their proteolytic activity on skim agar. Isolated Bacteria were colonially, morphologically and biochemically characterized and named as SNC1, SNC2, SNC3,...
Topics: Gallus gallus domesticus, feather biodegradation, keratin waste, Bacillus sp.
Heavy metals are chemical elements that are poisonous and toxic comprising of both necessary and unnecessary trace metals. All aquatic organisms require very low amount of these metals yet in case where these values exceed to certain range, threshold harmful effects are levied upon the ecosystem. The aim of this study was to estimate the bioaccumulation of heavy and trace metals (Cr, Mn, Ni, Fe, Pb, Cu, Cd, Zn) in fish using Atomic Absorption Spectrophotometer (AAS). Samples of fish were...
Topics: Bioaccumulation, Brown trout, Fresh water, Heavy metals, Ghizer Rainbow trout