94 research outputs found

    Lane Line Detection and Object Scene Segmentation Using Otsu Thresholding and the Fast Hough Transform for Intelligent Vehicles in Complex Road Conditions

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    An Otsu-threshold- and Canny-edge-detection-based fast Hough transform (FHT) approach to lane detection was proposed to improve the accuracy of lane detection for autonomous vehicle driving. During the last two decades, autonomous vehicles have become very popular, and it is constructive to avoid traffic accidents due to human mistakes. The new generation needs automatic vehicle intelligence. One of the essential functions of a cutting-edge automobile system is lane detection. This study recommended the idea of lane detection through improved (extended) Canny edge detection using a fast Hough transform. The Gaussian blur filter was used to smooth out the image and reduce noise, which could help to improve the edge detection accuracy. An edge detection operator known as the Sobel operator calculated the gradient of the image intensity to identify edges in an image using a convolutional kernel. These techniques were applied in the initial lane detection module to enhance the characteristics of the road lanes, making it easier to detect them in the image. The Hough transform was then used to identify the routes based on the mathematical relationship between the lanes and the vehicle. It did this by converting the image into a polar coordinate system and looking for lines within a specific range of contrasting points. This allowed the algorithm to distinguish between the lanes and other features in the image. After this, the Hough transform was used for lane detection, making it possible to distinguish between left and right lane marking detection extraction; the region of interest (ROI) must be extracted for traditional approaches to work effectively and easily. The proposed methodology was tested on several image sequences. The least-squares fitting in this region was then used to track the lane. The proposed system demonstrated high lane detection in experiments, demonstrating that the identification method performed well regarding reasoning speed and identification accuracy, which considered both accuracy and real-time processing and could satisfy the requirements of lane recognition for lightweight automatic driving systems

    Factors that lead to job satisfaction among fire fighters at Fire Fighter and Rescue Station Sungai Petani Kedah / Muhammad Badrul Ashraf Samsuri and Muhammad Daniel Haiqal Rosli

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    Job satisfaction comprises the feelings of personnel and their behavioural manifestation towards their job. A job is known to be an activity that involves emotion and expression on satisfaction. Such emotions and behavioural expressions are linked to the positive or negative feelings that a personnel experienced towards their work fulfilment in the organization. This emotions are affected by factors associated with the job. The job-related factors, according to Yilmazel (2013), relate to wages, type of benefits, recognition working conditions, relationship with colleagues and supervisors. Factors like management style, work culture, teamwork, and motivation also have an effect on job satisfaction. Concerning research conducted by Abdul Kadar, Abdul Kalam, Hoque, Loo-See, Wanke and Arslan (2015), found that among the selected face of job satisfaction, employees reported a high level of satisfaction with the work environment, supervisor support and co-worker. They also documented a low level of satisfaction with contingent reward, wages, and fringe benefits. Job satisfaction has a moderate relationship in determining factors such as uncertainty of function, recognition encouragement from managers and cooperation with co-workers

    Nano-Biochar Suspension Mediated Alterations in Growth, Physio-Biochemical Activities and Nutrient Content in Wheat (Triticum aestivum L.) at the Vegetative Stage

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    Nano-biochar is a source of blackish carbonaceous material, a prerequisite for sustainable crop productivity. By using a variety of feedstock materials, nanobiochar synthesis can be employed via pyrolysis. Therefore, a project was initiated to explore the morpho-physio-biochemical alteration at the vegetative stage of wheat crops after the foliar application of nanobiochar suspension (NBS). This investigation was conducted at the Botanical Research Area of the University of Lahore in a randomized complete block design (RCBD) arrangement, with four treatments (0, 1, 3, and 5% NBS) by maintaining three replications for each treatment using the wheat variety “Zincol”. Nano biochar suspension in above mentioned concentrations were foliarly applied at the end of tillering/beginning of leaf sheath elongation of wheat seedlings to assess the morphological changes (root length, shoot length, number of leaves, fresh biomass/plant, dry biomass/plant), physio-biochemical alterations (total free amino acids, total sugars, chlorophyll content, protein, phenols, flavonoids), and nutrient uptake (Na, K, Ca, Mg, N, P contents. Our findings indicate that the foliar application of 3% NBS yielded the most favorable results across all measured attributes. Furthermore, Treatment-4 (5% NBS) specifically improved certain traits, including leaf area, total soluble proteins, and leaf calcium content. Finally, all NBS resulted in a decrease in carotenoid and sodium content in wheat seedlings

    Novel Mixed EWMA Dual-Crosier CUSUM Mean Charts without and with Auxiliary Information

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    The classical cumulative SUM (CUSUM) chart is commonly used to monitor a particular size of the mean shift. In many real processes, it is assumed that the shift level varies within a range, and the exact level of the shift size is mostly unknown. For detecting a range of shift size, the dual-CUSUM (DC) and dual-Crosier CUSUM (DCC) charts are used to provide better detection ability as compared to the CUSUM and Crosier CUSUM (CC) charts, respectively. This paper introduces a new mixed exponentially weighted moving average (EWMA)-DCC (EDCC) chart to monitor process mean. In addition, AIB-based EWMA-DC (EDC) and EDCC charts (namely, AIB-EDC and AIB-EDCC charts) are suggested to detect shifts in the process mean level. Monte Carlo simulations are used to compute the run length (RL) characteristics of the proposed charts. A detailed comparison of the proposed schemes with other competing charts is also provided. It turns out that the proposed chart provides better performance than the counterparts when detecting a range of mean shift sizes. A real-life application is also presented to illustrate the implementation of the existing and proposed charts. 2022 Muhammad Arslan et al.Scopu

    Salt-induced variation in some potential physiochemical attributes of two genetically diverse spring wheat (Triticum aestivum L.) cultivars: photosynthesis and photosystem ii efficiency

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    Abstract Variation in salt tolerance potential of two contrasting wheat cultivars (salt tolerant S-24 and moderately salt sensitive MH-97) at different growth stages was observed when these wheat cultivars were exposed to salinity stress in hydroponic culture. Salinity caused a marked reduction in photosynthetic pigments, transpiration and photosynthetic rates, and stomatal conductance at early growth stages in both wheat cultivars, being more prominent in cv. MH-97. In addition, a marked saltinduced alteration was observed in different attributes of chlorophyll fluorescence. On the basis of physiological characterization of these two wheat cultivars at different growth stages, it was inferred that cv. S-24 exhibited higher salinity tolerance at all growth stages in terms of less salinity-induced degradation of photosynthetic pigments, higher photosynthetic rates, maintenance of photosystem II under salinity stress as compared to that in cv. MH-97. In view of the results presented here, it is evident that wheat plants were prone to adverse effects of salinity at early growth stages as compared to later growth stages

    Biochemistry, Risk Factors and Major Chronic Complications of Type 2 Diabetes among Patients of Southern Punjab, Pakistan

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    <p>Nearly, half of the diabetic population in Pakistan not diagnosed properly and approximately half of the affected population in the beginning characterized diabetic patients is seen to comprise the chronic diabetic complications. This study was conducted to estimate the existing status of chronic complications associated with diabetes mellitus .This research was conducted at Department of Diabetes, Jampur located in southern region of Punjab, Pakistan from February 2017 to June 2017. A comprehensive evaluation of medical history and clinical and laboratory tests of blood samples were performed to analyze the dyslipidemia and related complications. A neuropathy disability score normally greater than zero was used to access peripheral neuropathy as standard parameters with range in low, medium and high. An opthalmoscopic performed comprehensive examination of dilated retina. Obesity, low HDL, High LDL and total cholesterol were considerably higher in females. Neuropathy level was higher in patients with short diabetes duration at the same time as other chronic complications were higher in patients with long diabetes duration and with high age group. This research will be useful for administration and control of secondary complications in diabetic patients of Pakistan.</p> <p>published by the <strong><a href="https://innspub.net/international-journal-of-biosciences/"> International Journal of Biosciences (IJB)</a></strong></p&gt

    Design and Development of Secure Mobile Communication over GSM Network Using Open Source Operating System (OS)

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    With the rapidly advancing technology of today, exchange of information and data is a very pertinent matter. The world has just recently witnessed the effects of information leakage through the issue of WikiLeaks. There are huge amounts of data being shared over different platforms nowadays. Global System for Mobile Communication (GSM) is one of the most reliable platforms known to and used by almost all people in the world for text as well as voice communication. With the tools like Android Studio and NetBeans available, it is now possible to encrypt the text that has to be sent over the GSM, so that it can be decrypted at the other end of the communication path. However, the encryption and decryption of voice being transmitted over the GSM network still remains a question. In the domain of real time voice encryption, much of the work being carried out pertains to the voice being exchanged through the Internet Protocol. As compared to the Voice over Internet Protocol (VoIP), voice over the GSM network has not seen much research work related to its security aspects. The purpose of this paper is to document the results of a project aimed at developing a platform for mobile phones in order to communicate over the GSM network in a secure manner. The most suitable method for achieving the above mentioned objective is to use an open source Operating System (OS), so that the source code is easily accessible and usable. In this paper, the Android OS will be under discussion, which is compatible with all the Android mobile phones. In this way, the maximum number of mobile phone users can be benefitted because Android cell phones are being widely used nowadays. The use of cryptographic algorithms for securing the voice communication over the GSM network is also a part of this paper. The work revolves around the Java programming language since the Android application development has been carried out in Java through the use of Android Studio. Also, NetBeans has been employed for developing algorithms for voice encryption. Keywords: Android Operating System; Global System for Mobile Communication (GSM); encryption; decryption; cryptography

    The Impact of Phase-Locked Loop (PLL) Architecture on Sub-Synchronous Control Interactions (SSCI) for Direct-Driven Permanent Magnet Synchronous Generator (PMSG)-Based Type 4 Wind Farms

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    Electric vehicles (EVs) are a promising solution to reduce carbon dioxide (CO2) emissions, but this reduction depends on the fraction of renewable sources used to generate electricity. Wind energy is thus a vital candidate and has experienced a remarkable surge recently, establishing itself as a leading renewable power source worldwide. The research on Direct-Driven Permanent Magnet Synchronous Generator (PMSG)-based type 4 wind farms has indicated that the Phase-locked Loop (PLL) bandwidth significantly impacts Sub-Synchronous Resonance (SSR). However, the influence of PLL architecture on SSR remains unexplored and warrants investigation. Therefore, this paper investigates PLL architectural variations in PLL Loop Filter (LF) to understand their impact on SSR in type 4 wind farms. Specifically, an in-depth analysis of the Notch Filter (NF)-based enhanced PLL is conducted using eigenvalue analysis of the admittance model of a PMSG-based type 4 wind farm. The findings demonstrate that the NF-based enhanced PLL exhibits superior performance and improved passivity in the sub-synchronous frequency range, limiting the risk of SSR below 20 Hz. Additionally, Nyquist plots are employed to assess the impact on system stability resulting in increased stability margins. In the future, it is recommended to further investigate and optimize the PLL to mitigate SSR in wind farms

    Alleviation of waterlogging stress in upland cotton (Gossypium hirsutum L.) by exogenous application of potassium in soil and as a foliar spray

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    The effectiveness of exogenous application of K in ameliorating the adverse effects of waterlogging on cotton plants was assessed under greenhouse conditions. Forty-day-old plants were subjected to continuous flooding for 1 week and then K (60 kg ha–1) was applied either as soil application, foliar spray, or in combination. The waterlogging treatment significantly reduced plant height and fresh and dry biomass, photosynthetic pigments, gas exchange parameters and nutrient accumulation (N, K+, Ca2+) in stem, root and leaves of cotton plants, Although Mg2+ content in roots increased significantly due to waterlogging, it was not affected in stem or leaves. In contrast, Mn2+ and Fe2+ contents generally increased under waterlogged conditions. All water relation parameters were also significantly influenced by waterlogging stress. Waterlogged plants supplemented with K showed a significant improvement in growth, photosynthetic pigments and photosynthetic capacity. Potassium supplementation also improved nutrient uptake of waterlogged plants and resulted in significantly higher accumulation of K+, Ca2+, N, Mn2+ and Fe2+ than those plants not supplied with K. Although all modes of K application were effective in mitigating the inhibitory effects of waterlogging, the combined application through soil + foliar spray yielded the best results and the foliar application (alone) being the least effective.</jats:p

    A Review on Urdu Language Parsing

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    Natural Language Processing is the multidisciplinary area of Artificial Intelligence, Machine Learning and Computational Linguistic for processing human language automatically. It involves understanding and processing of human language. The way through which we share our contents or feelings have always great importance in understanding and processing of language. Parsing is the most suited approach in identifying and scanning what the available sentences expressed? Parsing is the process in which syntactic structure of sentence is identified using grammatical tags. The syntactically correct sentence structure is achieved by assigning grammatical labels to its constituents using lexicon and syntactic rules. Phrase and Dependency are two main structure formalisms for parsing natural language sentences. The growing use of web 2.0 has produced novel research challenges as people from different geographical areas are using this channel and sharing contents in their native languages. Urdu is one of such free word order native language which is widely shared over social media sites but identification and summarization of Urdu sentences is challenging task. In this review paper we present an overview to recent work in parsing of fixed order (i.e. English) and free word order languages (i.e Urdu) in order to reveal the most suited method for Urdu Language Parsing. This survey explored that dependency parsing is more appropriate for Urdu and other free word order languages and parsers of English language are not useful in parsing Urdu sentence due to its morphological, syntactical and grammatical differences
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