Miracle-dz/UniFAR-FTUs huggingface dataset:
DESIGNING OF GRID CONNECTED INVERTER FOR PV SYSTEM

1Assistant Professor (EE) , CCET Bhilai , Chhattisgarh , India 2Assistant Professor (EE) , CCET Bhilai , Chhattisgarh , India 3Assistant Professor(EE) , CCET Bhilai , Chhattisgarh , India 4Assistant Professor (EE) , CCET Bhilai , Chhattisgarh , India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract – In recent years, photovoltaic (PV) systems are acquiring more popularity due to their ease of availability. The photo-voltaic system can be classified into grid-connected or standalone types based on the power generation and requirements. The grid-connected photo-voltaic system is one of the primary approaches to solar energy power conversion. the microgrid is a distributed system configuration with the generation, distribution, control, storage, and consumption connected locally, which can operate isolated or connected to other microgrids or the main grid. It contrasts with traditional centralized grids through bidirectional connection with users and autonomous local control layers. Advances in control techniques, automation, energy storage technologies, communication, and superior computing processing capabilities lead to increased efficiency and reliability of microgrids compared to traditional grids. The PV power system can provide a continuous power supply during the grid blackouts, and it can inject the excess produced power into the electrical grid during the day periods. However, gridconnected PV systems cannot continue supplying electrical power during grid blackout hours due to the islanding mode of the inverter which is an essential main feature for each gridconnected inverter to satisfy the safety issues. Therefore, the electrical power generated from the PV system during blackout hours will be lost if no storage battery is available in the PV system. The proposed PV system has been simulated by Matlab software.
VISIBLE AND REAL SIZES

Background. To simulate the COVID-19 pandemic dynamics, various data sets and different mathematical models can be used. In particular, previous simulations for Ukraine were based on smoothing of the dependence of the number of cases on time, classical and the generalized SIR (susceptible-infected-removed) models. Different simulation and comparison methods were based on official accumulated number of laboratory confirmed cases and the data reported by Johns Hopkins University. Since both datasets are incomplete (a very large percentage of infected persons are asymptomatic), the accuracy of calculations and predictions is limited. In this paper we will try to assess the degree of data incompleteness and correct the relevant forecasts. Objective. We aimed to estimate the real sizes of two new epidemic waves in Ukraine and compare them with visible dynamics based on the official number of laboratory confirmed cases. We also aimed to estimate the epidemic durations and final numbers of cases. Methods. In this study we use the generalized SIR model for the epidemic dynamics and its known exact solution. The known statistical approach is adopted in order to identify both the degree of data incompleteness and parameters of SIR model. Results. We have improved the method of estimating the unknown parameters of the generalized SIR model and calculated the optimal values of the parameters. In particular, the visibility coefficients and the optimal values of the model parameters were estimated for two pandemic waves in Ukraine occurred in December 2020– March 2021. The real number of cases and the real number of patients spreading the infection versus time were calculated. Predictions of the real final sizes and durations of the pandemic in Ukraine are presented. If current trends continue, the end of the pandemic should be expected no earlier than in August 2022. Conclusions. New method of the unknown parameters identification for the generalized SIR model was proposed, which allows estimating the coefficients of data incompleteness as well. Its application for two pandemic waves in Ukraine has demonstrated that the real number of COVID-19 cases is approximately four times higher than those shown in official statistics. Probably, this situation is typical for other countries. The reassessments of the COVID-19 pandemic dynamics in other countries and clarification of world forecasts are necessary.
An Arabic Web search engine using grid computing and Artificial Intelligence techniques

This research is considered as a result of an accumulative work for many years to demonstrate a model for the heavy computational components of any World Wide Web (WWW) search engine. This architecture is based on the grid computing. The crawling load is distributed over a set of computers to retrieve more crawled pages in less time. The proposed architecture of the indexer distributes the indexing load over a set of computers and supports the dynamic indexing to deal with the frequent changes in the web contents. So, the proposed architectures of the crawler and the indexer support the freshness of the web pages. The used freshness technique is considered in the crawler and the indexer where the dynamic indexer is responsible of determining the old pages and sending them to the crawler to revisit them for updating. The Search module is implemented including Arabic morphological analysis/generation and synonym dictionary which are combined to produce an Intelligent Arabic Internet Search module. The use of these linguistic tools is proved, experimentally, to have positive effects on both Precision and Recall measures where the average precision exceeds the value of 0.92. This design is implemented for Arabic language but it suits any other language with language-related modifications.
A Comprehensive Study of IoT

Now, we are living in an era of Technology where each and every person is completely dependent on it, and has entered the world of Technology intentionally or unintentionally. From last few decades, Technology has acquired its place all over the world, and plays a vital role. This new time furnished with most recent appearances of innovation, enlightening the world as Internet of Things (IoT). Internet, itself is a revolutionary evolution which has transformed everything. Internet of Things makes the Machine to Machine communication (M2M), the new future. The world is brimming with gadgets, sensors, and other items, and makes human life obviously better and simpler than ever. The paper will provide an overview of current research work on IoT in terms of the communication model, its characteristics, benefits, future, security and applications. The main purpose of this survey is to provide a complete review of IoT starting from its history to how it has changed our lives, and its future benefits. Keywords— Internet of Things, IoT, IoT Architecture, IoT Communication Models, Applications, IoT Security
Enhancing virtual switching system of on-chip networks

the huge datacenters in the world used in the social networks, researching and computing centers, and storage devices have faced fundamental problem reflected in the need for high throughput to switch between the large numbers of virtual machines installed in these datacenters. The increased use of cloud applications will increase the need for greater numbers of virtual machines. In order to meet the requirements of this increase, it must be increased the hardware capabilities in the datacenters, through increasing the number of cores in the servers. Therefore, there is a need to provide network architecture that can connect all of these cores and chips very quickly. Consequently, it is necessary to enhance the virtual switching system to achieve the maximum integration and efficiency between the network segments, and analysis the scheduling and virtual queuing algorithms depending on the decisions from the experiences implemented using high-level source code and hardware description scheme with Xilinx platform.
Effect of Neoadjuvant Therapies on Soft Tissue Sarcomas with Tail-like Lesions: A Multicenter Retrospective Study

Simple Summary It is essential to focus on the tumor invasive front (tail-like lesion)—the soft tissue sarcoma’s specific peripheral infiltrative growth characteristics—to avoid leaving unexpected tumor residues during surgery. This study aimed to analyze the effect of neoadjuvant therapy for highly malignant soft tissue tumors with tail-like lesions. From 2012 to 2019, 36 patients were treated with neoadjuvant therapy, including chemotherapy, radiotherapy, or both. Consequently, we observed shrinkage, and occasionally the disappearance of the tail-like lesion. The lesion’s regression was related to the necrosis rate of the main part of the tumor. However, the regression of lesions was not directly related to the achievement of surgery with a microscopically negative margin or improvements of oncological outcomes. Thus, a more multi-angle evaluation to elaborate surgical strategy is necessary. Abstract Several types of soft tissue sarcomas have peripheral infiltrative growth characteristics called tail-like lesions. The efficacy of neoadjuvant therapy for tumors with tail-like lesions has not been elucidated. From 2012 to 2019, we analyzed 36 patients with soft tissue sarcoma with tail-like lesions treated with neoadjuvant therapy, including chemotherapy, radiotherapy, or both. The effect of neoadjuvant therapy on the tail sign was investigated by analyzing the change in tail-like lesions during neoadjuvant therapy and histological responses. The median length of the tail-like lesion reduced from 29.5 mm at initiation to 19.5 mm after neoadjuvant therapy. The extent of shrinkage in tail-like lesions was related to the histopathological responses in the main part of the tumor. Complete disappearance of the tail-like lesion was observed in 12 patients; however, it was not related to achieving a microscopically negative margin. The oncologic outcomes did not significantly differ between cases with and without the complete disappearance of tail-like lesions. This study indicated that the shrinkage of tail-like lesions did not have a significant effect on complete resection or improvements of clinical outcomes. A more comprehensive evaluation is needed to elaborate on the surgical strategy.
Tracing Cognitive Processes at the Point of Purchase – The Validity of Concurrent and Retrospective Verbal Reports

In a 2 (method) x 2 (purchasers vs. browsers) experiment in a store, the validity of concurrent (thinking aloud) and retrospective reports (video-cued thought protocols) on consumers’ instore cognition was analyzed. Concurrent protocols are more complete, less suspect of fabrication and contain more immediate verbalizations. However, comparing cognitive processes between purchasers and browsers are in accordance with predictions from mind-set theory, thereby indicating that both types of reports can provide valid insights into cognitive processes at the point of purchase.
A Generative Adversarial Gated Recurrent Network for Power Disaggregation & Consumption Awareness

Separating the household aggregated power signal into its additive sub-components is called energy (power) disaggregation or Non-Intrusive Load Monitoring. NILM can play an instrumental role as a driver towards consumer energy consumption awareness and behavioral change. In this paper, we propose EnerGAN++, a model based on GANs for robust energy disaggregation. We propose a unified autoencoder (AE) and GAN architecture, in which the AE achieves a non-linear power signal source separation. The discriminator performs sequence classification, using a recurrent CNN to handle the temporal dynamics of an appliance energy consumption time series. Experimental results indicate the proposed method’s superiority compared to the current state of the art.
Evaluating Adaptive Routing Performance on Large Scale Megafly Topology

Interconnection network is a key major component of High Performance Computing(HPC) clusters and supercomputers. To construct HPC systems of exascale computing capacity and beyond, thousands of computing nodes need to be interconnected with a network topology that can deliver high throughput and low latency at a large scale. To design such scalable high performance interconnect in a cost-effective way, many new network topologies have been proposed in recent years as alternatives to the prevalent yet expensive fattree based interconnect designs. Among those, the Dragonfly topology, first introduced by Kim et al. [1], is particularly well-known for its scalability and low diameter. Dragonflybased interconnects have been used to construct several highperformance clusters in the current Top500 [2] list of the world’s fastest supercomputers such as Piz Daint [3] and Trinity [4]. More recently, a new variation of Dragonfly named Megafly, and also known as Dragonfly+, has been introduced and successfully deployed to construct Niagara [5] the fastest supercomputer accessible for academic use in Canada. Figure1 represents one of many possible variations of Megafly topology. Megafly offers an even higher scalability and better path diversity than the canonical Dragonfly design and thus, is a prominent candidate for use in future supercomputing interconnects. Similar to Dragonfly, Megafly topology heavily relies on the load balancing features of adaptive routing among groups of routers to maximize its throughput performance. However, the practical adaptive routing algorithms of present day, namely Universal globally Adaptive LoadBalance(UGAL) Routing [6] and Progressive Adaptive Routing(PAR) [7], do not leverage important properties specific to the Megafly topology, such as path distribution and minimal path diversity. As a result, these algorithms often fall short of a robust performance on Megafly interconnects. For example, The UGAL algorithm on Megafly suffers from limited congestion detection capability that leads to inaccurate and thus performance-limiting adaptive routing decisions. The PAR algorithm, on the other hand, may offer limited load balancing capability despite its accuracy to detect congestion on Megafly networks.
Risk-Aware Planning for Urban Air Mobility

Aircraft in-flight failures cannot be entirely prevented, and they may lead up to a crash of the aircraft. Such a failure poses a risk also to people and properties on the ground, especially in the urban environment. Current state-of-the-art approaches minimize the risk by determining trajectories resulting in less damage in the case of a failure. Thus, they are minimizing the consequences of a failure. However, the risk of an in-flight loss of thrust failure can be eliminated by an emergency landing if a landing site is reachable. Therefore, we propose a novel risk-aware trajectory planning that minimizes risk to people or damage on the ground while an option of safe emergency landing is guaranteed in the loss of thrust. Henceforth, the overall risk is minimized. The proposed method has been empirically evaluated on a simulated realistic urban scenario. A significant risk reduction is achieved compared to the shortest and risk-aware only trajectories, based on the reported results. The proposed risk-aware planning with safe emergency landing seems to be suitable trajectory planning for urban air mobility.
Amplifying Energy Efficiency of Wireless Sensor Networks by Optimizing DEC Protocol

1Student, Dept. of Computer Science Engineering, HPTU, H.P, India 2Head of Department, Dept. of Computer Science Engineering, Sirda Institute of Engineering & Technology, H.P 3Assistant Professor, Dept. of Computer Science Engineering, HPTU, H.P, India ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract–In today’s world, wireless sensor networks (WSN’s) play a significant revolutionizing role by observing and collection of physical conditions of the surroundings and coverage it to the central location [1]. These networks are extremely resource and power forced. During this analysis, a strictly increased settled model has been developed that utilizes agglomeration to arrange the nodes in the network which is known as enhanced deterministic energy efficient clustering(E-DEC) protocol which is dynamic, distributive, selforganizing and well-tried to be a lot of energy economical than existing probabilistic protocols[2]. The performance of our planned E-DEC protocol was strictly tested on basis of energy consumption, network period of time and outturn. The search results were analyzed, compared and benchmarked against some well-known protocols like LEACH, SEP and SEPE. In this, a number of agglomeration approaches like singlelevel agglomeration and multi-level agglomeration also are mentioned that covers each theoretical and experimental analysis of our technique [3]. MATLAB is employed to implement the simulations of 5 protocols: LEACH, SEP, SEP-E, DEC and E-DEC. The results square measure then compared to search out the facts. E-DEC protocol has achieved the goal of a well-balanced energy consumption pattern across the nodes in spite of the energy hierarchies within the network system [4].
ADMITTANCE CHARACTERISTICS OF RECTANGULAR WAVEGUIDE COUPLED ON THE EFFECT OF WAVEGUIDE DIMENSIONS IN COMMON NARROW WALL

Waveguide couplers are popular for the applications, where microwave power division is required. Power is coupled to one waveguide to another usually through rectangular slots. The slots are designed in such a way that they are operated at resonance. It is an established fact that coupling depends on slot dimensions and its parameters along with frequency variations. But it also depends on the waveguide dimensions with which the coupler is fabricated. No data is available in literature on such dependence and effects. In view of this investigations are carried out to obtain such vital data. The effects of waveguide dimensions are consolidated in the present paper.
Emerging Ethical Challenges of Leadership in the Digital Era: A Multi-Vocal Literature Review

The purpose of this study is to undertake a multi-vocal literature review (MLR) regarding how leadership work has transformed as a result of digitalization and what kinds of ethical challenges organizational leaders are facing in the digital era, particularly from 1985 to 2020. Hence, a total of 83 literature are reviewed, drawing up on the method of MLR. The findings of this study suggest that the digitalization of leadership work, i.e., delegation of personal (leadership) responsibilities to digital systems, is being accelerated by the ever increasing use of technologies based on Artificial Intelligence (AI) in organizational governance and operation, particularly during the last two decades. In the reviewed literature, ethical challenges of leadership in the digital era are often discussed in subtle forms, from the viewpoint of the ethics of digitalization in general and its apparent consequences in organizational systems – Specifically, an apparent lack of industry standards, codes of ethics and professional conduct, for AIbased digital technologies. Likewise, disruptions and complexities caused by digitalization trends in conjunction with globalization, climate change and sustainable development goals are noticed as posing further significant challenges for leaders, particularly in relation to ethical organization systems design in the digital era. Hence, this study outlines the three main conceptual fields of discussion towards deepening our understanding of the transformation of leadership work and emerging ethical challenges to leaders in contemporary organizations caused by the increased use of advanced digital technologies.
MQTT-based Translation System for IoT Interoperability in oneM2M Architecture

The key challenge for the future Internet of Things (IoT) is interoperability between IoT systems and platforms. To support the interconnection and interoperability between heterogeneous IoT systems and services, open-source Application Programming Interfaces (APIs) is one of the key features of common software platforms for IoT devices, gateways, and servers. The oneM2M standard is a global initiative led jointly by major standards organizations in order to standardize a common platform for globally-applicable and access-independent IoT services. In this paper, we present the design and open-source implementation of an IoT translator that enables heterogeneous IoT devices to be interoperable in oneM2M architecture. The translation system abstracts basic functionalities from IoT devices and interconnects them within oneM2M platform through MQTT, which is a publish/subscribe messaging protocol for the lightweight M2M communication. The implementation has been validated in a real test case and proved the interoperability by testing tools. Keywords-Internet of Things; interoperability; oneM2M;
Effects of Different Nitrogen and Sulfur Fertilizer Rates on Growth, Yield, Quality and Nutrient Uptake of Onion (Allium cepa L.) at Shewa Robit, North Shewa, Ethiopia

Onion is one of the most important crops widely cultivated throughout the world, including Ethiopia. The production of onion is mainly affected by the inadequate application of inorganic fertilizer types and rates. A field experiment was conducted to evaluate the effect of nitrogen and sulfur fertilizers on the growth, yield, quality, and nutrient uptake of onion at Shewa Robit in 2018/19 under irrigation. The experiment consisted of four nitrogen rates (100, 150, 200, and 250 kg N /ha) and five sulfur rates (0, 15, 30, 45, and 60kg S/ha). The treatments were laid out in a factorial arrangement with three replications using randomized complete block design (RCBD). Bombay Red was used as a testing onion variety. The interaction effect of nitrogen and sulfur significantly increased plant height, leaf length, leaf diameter, leaf area index, neck diameter, shoot dry weight, bulb fresh weight and bulb dry weight, percent dry matter content, yield, and quality parameters. The application of 200kg N/ha and 45 kg S/ha resulted in the highest yield (42.6 t ha-1), the average weight of bulb (193.6g), and a marketable bulb (99.8%). The highest N uptake (243.3 kg ha-1) and S uptake (31.9kg ha-1) were obtained by the combined application of 200 kgN/ha and 45kg S/ha. The application of 200 kgN/ha and 45kgS/ha can be recommended for high yield and quality onion production in the study area.