The DC-DC converters are essential in power electronics as they maintain a stable output voltage even when there changes input and load current. This study introduces an advanced Proportional-Derivative (PD) compensator for buck converters. enhances stability transient responsiveness by employing unique modulation technique that has not been previously applied this context. proposed method entails applying of 28 volts, which yields amplification 15 the presence interference. small signal...

ABSTRACT Electrical motors' effectiveness, optimization, and dependability have led to significant developments in the industrial revolution. Rotor commutation is essential for smooth operation done by energizing proper rotor. The study introduces an innovative methodology fault‐tolerant control of Hall‐Effect sensors governing brushless direct current (BLDC) motors. implemented result validates substantial saving energy. implementation here unique effective because BLDC motor will be...

Organizational change is essential for the survival and success of any institution. This study examines role communication in facilitating implementation organizational across various universities Malakand Division. Data were collected through a questionnaire from employees working these universities. The findings indicate positive relationship between successful change. Additionally, results reveal that employee commitment serves as full mediator implementation. However, this limited to...

Compared to visible spectrum image the infrared is much clearer in poor lighting conditions. Infrared imaging devices are capable operate even without availability of light, acquires clear images objects which helpful efficient classification and detection. For object detection, CNN belongs class feed-forward ANN, has been successfully used. Fast RCNN combines advantages modern detectors i.e. SPPnet classify proposals more efficiently, resulting better faster To further improve detection...

Sugarcane (Saccharum officinarum) is a crucial agro-industrial crop that faces numerous biotic and abiotic challenges. One of the most severe stresses affecting sugarcane eyespot disease, caused by Bipolaris sacchari. This study focused on managing disease using resistant varieties, chemicals, plant defense activators. Disease samples were collected from Lalian, Chiniot, Faisalabad, pathogen was isolated identified infected leaves. In screening experiment, 10 varieties evaluated. CPF-246...

Nonlinear loads are essential part of power system. With the advancement in electronics, switching elements have major share electrical load. These create nonlinearities lines increasing line losses, reducing quality and purity sin wave. Passive filters work fine for harmonic elimination specific frequencies which considered design specification. Active on other hand according to harmonics currently line. filter designed this consists a shunt active that compensates current due non-linear...

Integrating Tiny Machine Learning (TinyML) with edge computing in remotely sensed images enhances the capabilities of road anomaly detection on a broader level. Constrained devices efficiently implement Binary Neural Network (BNN) for feature extraction, utilizing quantization and compression through pruning strategy. The modifications resulted 28-fold decrease memory usage 25% enhancement inference speed while only experiencing 2.5% accuracy. It showcases its superiority over conventional...

In this relevant research literatures have been reviewed and the findings presented in a concise way. Industry 4.0 is technology that has developed year 2011 during project of high-tech strategies by German scientists. Many companies are using to enhance their productivity. Especially, manufacturing use for monitoring production related organizational operations so they can take necessary initiatives managing supply chain logistics.

Coronavirus disease (COVID-19) primarily spreads through imbalanced social distancing practices. Automatic analysis is possible deep learning-based methods to understand and control COVID-19. Healthcare prediction are best made in the situation of a pandemic such as This can be used classify COVID-19 non-COVID-19 groups measures with good estimation by preventing immense dissemination. Postpreventive require parallel reinforcement analyse current, upcoming, uncertain situations prevalence,...

Melanoma is a skin lesion disease; it cancer that caused by uncontrolled growth in melanocytic tissues. Damaged cells can cause damage to nearby and consequently spreads other parts of the body. The aim this research early detection disease, many researchers have already struggled achieved success detecting melanoma with different values for their evaluation parameters, they used machine learning as well deep approaches, we applied approach detection, publicly available dataset...

Nowadays, day-to-day reality is how the development of information, communications and technologies (ICT) growing globalization boost affect all parts our lives. This makes this technique due to fact supply chain or customer service, which part logistics management chain, has emerged as vital factors agency be able in market. Thanks huge advances technology, devices various social networks such Twitter, Facebook number facts produced increases every year. The whole amount information...

In today’s technology era, the field of digital image processing is growing in popularity and developing demand. When input given to system, after a variation performed output taken from system. This research about visualized road pavement that was first as an obtain using gray-level enhancing techniques. this research, enhancement through different images, which backbone research. Initially, it cogitating piece cake but once we start implementing technique then realize not easy needs lot...

The paved cracks are one of the major concerns for scientists and engineers in road maintenance damage evaluation study. Digital image processing applications have been applied surface inspection, classification, decomposition roads. This paper has tested proposed process to evaluate their possible solution as we know that key issues analysis enhancement segmentation along with edge detection attain promising results gained discussed under heading simulations experimental numerical crack...

Machine learning and deep neural network developments have evolved image classification. This study offers a new design with segmentation localization, different crack types, categorization accuracy, efficiency. In the proposed work, an advanced innovative Spliced Multimodal Residual18 Neural Network (SMR18-NN) Model is presented that departs from previous models. For data authentication, augmentation done by proposing effective model known as Augmented Minority Over-sampling Technique...

The integration of unmanned aerial vehicles (UAVs) in the fifth-generation (5G) network has emerged as a promising solution to deliver seamless services and provide connectivity because their mobile nature. In vehicular networks, between can be affected by ground-level obstacles false messages created some deceitful vehicles. UAVs are integrated into networks line-of-sight communication. This also poses specific challenges, such maintaining reliable communication links handling operational...

The current research investigates the potential of secondary metabolites extracted from Trichoderma species for managing Fusarium wilt in pea plants. Crude extracts T. viride and harzianum were obtained using ethyl acetate methanol through solvent extraction methods evaluated their antifungal activity against oxysporum f.sp. pisi under various experimental conditions. In vitro assays performed poisoned food technique on potato dextrose agar (PDA) medium, employing Completely Randomized...

Chilli, a highly important and valuable crop worldwide, belongs to the Solanaceae family. In Pakistan, Sindh is leading producer of chilli. However, bacterial leaf spot (BLS) caused by Xanthomonas campestris pv. vesicatoria poses significant threat, yield losses up 40% globally. Effective management BLS has become critical concern. current study, five chemicals, Cabrio Top, Oxyrich, Kocide, Electus Super, Forum were evaluated for their efficacy in managing BLS. An vitro experiment was...

Permanent Magnet motor has significant importance in the area of motors because it's more reliable than DC and reason for this that PM doesn't have a commutator. With comparison Alternate Current motor, synchronous advantage like generates rotor magnetic flux with magnets due to this, gained efficiency is very high. In latter part paper we explained how applied simulation results are compared under different section mathematical modeling, experimental validation, toll result. second last...

We have proposed a face recognition model that uses modified Siamese Networks to give us distance value indicates whether 2 images are the same or different. used pre-trained Xception CNN based on InceptionV3 for Encoder. The networks take 3 input (anchor, positive and negative), Encoder encodes their feature vectors. main objective of this research is propose with high accuracy low classification process time, why we implemented using custom training testing loop loss function be able...

Internet of Things (IoT) and fog computing technologies play a significant role in the development residential automation systems. Both emerging can be used many areas such as smart alarm systems for gas leakage fire detection among others. The research related to security fog-based environments is still at an early stage. Since these ecosystems are connected Internet, they vulnerable variety threats including Denial Service (DoS) attacks. To secure system from internal external DoS We...