21 research outputs found
Unveiling the Power of Big Data: A Comprehensive Review of Analysis Tools and Solutions
No full textWith the development of technology and the increase in communication networks, the size and value of information has come to the forefront today. In today's technology, many devices can produce and record instant data, and as these records increase, the data is considered unimportant and sent to the data warehouse. Many institutions and organizations, who realized that there are rich underground resources under complex and diverse data by conducting research and development studies in this direction, have revealed a structure called "Big Data". It is seen that meaningful, useful and important data emerges thanks to big data. Institutions and organizations, who conducted their research and development studies in this direction, have revealed the structure we call Big Data. Big Data does not only mean large amounts of data, but also data that cannot be processed with traditional methods. As technology develops every day, companies are literally competing with each other. The development of these technologies leads to the production of a lot of data. Data interaction is increasing every moment, and it is becoming difficult to control and analyze this increasing data. Today's big technology companies are creating many big data analysis tools to control and analyze data. In this paper, different types of tools used in the analysis of big data are explained comparatively
Advancements in Machine Learning Techniques for Multivariate Time Series Forecasting in Electricity Demand
No full textThe exact prediction of electrical energy usage stands as a vital operational tool for power system management while the evolving market landscape with rising data complexity continues to exist. The accurate prediction of electricity demand stands vital to produce optimized power generation and keep the electrical grid stable and support efficient use of renewable energy. MTS forecasting techniques for electricity consumption analysis take multiple variables which integrate weather elements and economic indicators with social nuances and environmental aspects. This study explores traditional ARIMA and VAR statistical models together with contemporary machine learning methods that include SVM and RF and GBM along with RNN and LSTM networks and their combination algorithms. This paper evaluates various techniques to identify major barriers in electricity consumption prediction particularly related to managing multidimensional non-linear and noisy data sets. The implementation of multiple variables leads to improved accuracy in forecasts since it surpasses what univariate models can achieve. The review delves into sophisticated forecasting approaches which merge statistical and machine learning approaches and deep learning methods along with discussions about crucial data preprocessing operations like normalization, missing value handling and feature development. The paper ends by discussing upcoming electricity consumption forecasting patterns including real-time data analysis together with explainable artificial intelligence technology and flexible predictive models for advanced energy system requirements. Further research is required to handle present-day limitations which prevent the use of models that combine high accuracy with scalability and real-time processing needs
Performance Monitoring and Model Management in Machine Learning
No full textThe paper analyzes the intricate aspects of Machine Learning Model Management and Monitoring (MLM3) while demonstrating the need for well-developed systems to handle ongoing evolutions in ML technology. An extensive research explores all aspects including procedural obstacles and implementation approaches which pertain to MLM3. The system addresses model drift together with data integrity problems and scalability issues and security requirements. The article examines three advanced techniques for ML model enhancement including adaptive learning systems together with ensemble techniques and incremental learning which boost both efficiency and reliability in model operation. The analysis presents a discussion between ML model compatibility with IT infrastructure and necessary regulatory requirements together with design considerations for ethical behavior in deployment. This review gives professionals including IT managers and policymakers deep insights into modern trends and upcoming directions as a tool to help them properly build and run advanced ML systems
The Intellectual Representative of the School of objective Criticism: Azhar Ghouri: مکتبۂ معروضی نقد ونظر کا فکری نمایندہ: اظہر غوری
No full textObject oriented approach of criticism has its roots in post continental philosophies based on perdiction and vision. Azhar Ghouri has strong advocacy for universalization of values and global adaptation of critical thinking styles. He believes in sublimity of Art and architecture regardless of classic or modern as a label for critical analysis. He believes in exploration of ideas and vision with insight in any piece of literature beyond its mechanical structure. Colonialism, exploitation, industrialisation, hunger, fear, shelter, peace and justice are controversial in global village according to A. G which needed to be reflected in art and literature in modes of individual’s interest. Author of this artical has explored gross root level realities and fundamental beliefs of object oriented approach in literary works of A.G. The agitation through pen has always been an eye opener initiative to stimulate the reader same has been highlighted by the author in the artical.
Reference:
Azhar Ghori ,do tehzibo ki dohri maanwiyat kay hamil afsanay,mazmoon mashmoola,jahan e rang o boo,az nayar aqbal alwi,Lahore,multi media,affairs,2005,s 7.
Azhar Ghori,Nazriyati murassa kaar afsaana nigar,Sami Ajaow,gair muratba,19 July,2023
Azhar Ghori,Takhliqi shaoor ki Shairi,Ghair muratba,2002.
Azhar Ghori,Awam dushman nizam ko badalnay ka muharak,,nukta nazer ,mutbuaa ,haft rooza,siraat ,2009.
Azhar Ghori,ghair mutboowa mazmmon,2021.
Azhar Ghori ,Tareikhi shasoor ki hamil shairi,ghair mutbuaa,16 junauary,2023.
Azhar Ghori,Sufaid jhoot,Dr uzma aziz khan kay shahkaar afsanchay,Lahore ,multi media affairs,2023,s.107
The WTO solution for investor-state disputes
No full textInvestment arbitration is in a constant state of flux. The latest instances of expropriation have triggered an academic debate revolving around the possibility of WTO law becoming directly applicable to investment treaties such as Bilateral Investment Treaties (BITs) or Free Trade Agreements (FTAs). This paper explores the nexus between host state obligations under BITs/FTAs on the one hand and the remedies available under the WTO Dispute Settlement Understanding (DSU) on the other hand. The paper argues that remedies available under WTO law are of limited scope and at the most would play only a supplementary role to investment arbitration. The author reaches the conclusion that in the foreseeable future, claims under the WTO DSU would remain an exclusive domain of state-to-state dispute settlement until the DSU is amended to allow private claims
Global textiles and clothing trade: Trade policy perspectives
No full textSummary The author presents substantial case studies of the effect of the abolition of quotas on global trade in this sector. Concentrating mainly on China and Pakistan but also examining India, Indonesia, Vietnam, and seven other Asian T&C manufacturing countries, he contrasts post-abolition reality with pre-abolition predictions of the impact of abolishing quotas, and details the continuing distortion caused by tariffs, non-tariff barriers and through trade remedies such as safeguards and anti-dumping. All of the analysis is supported by the judicious use and interpretation of extensive statistics, compelling arguments, and interviews with entrepreneurs and trade officials in Pakistan (as a case study of a country predicted to be a major beneficiary of quota expiry)
X-ray phase contrast imaging of coronary arteries
No full textHigh quality, real time imaging of coronary arteries in-vivo presents considerable challenges. We demonstrate the application of phase-retrieval algorithm on fluoroscopy-derived images of coronary arteries using transport of intensity equation. © 2021 The Author (s)
On the equations of motion of mechanical systems subject to nonlinear nonholonomic constraints
No full textSuppose q₁,q₂,…,qn are the generalised coordinates of a mechanical system moving with constraints expressed by r non-integrable equations (r〈n) (1) [equation omitted] where the dots denote differentiation with respect to the time t, and fα are nonlinear in the q’s. The equations (1) are said to represent nonlinear nonholonomic constraints and the system moving with such constraints is called nonlinear nonholonomic.
From a purely analytical point of view, the author has obtained the equations of motion for a nonlinear nonholonomic mechanical system in many a different form. The importance of these forms lies in their simplicity and novelty. Some of these forms are deduced from the principle of d'Alembert-Lagrange using the definition of virtual (possible) displacements due to Četaev [ll] . The others are obtained as a result of certain transformations. Moreover, these different forms of equations of motion are written either in terms of the generalised coordinates or in terms of nonlinear nonholonomic coordinates introduced by V.S. Novoselov [23].
These forms involve the energy of acceleration of the system or the kinetic energy or some new functions depending upon the kinetic energy of the system. Two of these new functions, denoted by R (Sec. 2.3) and K (Sec. 2.4), can be identified, to a certain approximation, with the energy of acceleration of the system and the Gaussian constraint, respectively.
An alternative proof (Sec.2.5) is given to the fact that, if virtual displacements are defined in the sense of N.G. Četaev [ll], the two fundamental principles of analytical dynamics - the principle of d'Alembert-Lagrange and the principle of least constraint of Gauss -are consistent.
If the1 constraints are rheonomic but linear, a generalisation of the classical theorem of Poisson is obtained in terms of quasi-coordinates and the generalised Poisson's brackets introduced by V.V. Dobronravov [17].
The advantage of the various novel forms for the equations of motion is illustrated by solving a few problems.Science, Faculty ofMathematics, Department ofGraduat
Research study “The surprising truth about what motivate us”: Applicability of Denial Pink’s concept of motivating employees in local context
No full textHuman beings have a biological drive. We also have another long recognized drive: to respond to rewards and punishments in our environment. But in the middle of the twentieth century, a few scientists began discovering that humans also have a third drive i.e. “intrinsic motivation.” For several decades, behavioral scientists have been figuring out the dynamics and explaining the power of our third drive. The first human operating system i.e. Motivation 1.0—was all about survival. Its successor, Motivation 2.0, was built around external rewards and punishments. That worked fine for routine twentieth-century tasks. But in the twenty-first century, Motivation 2.0 is proving incompatible with how we organize what we do, how we think about what we do, and how we do what we do. Daniel Pink is a modern writer on business & management, with a strong focus on the changing nature of work and the workplace. His book - Drive: The Surprising Truth About What Motivates Us - was published in 2009 and very quickly became a bestseller with its focus on the importance and effectiveness of three intrinsic elements to motivation at work The author assesses human behavior in two broad categories. Type I behavior: A way of thinking and an approach to life built around intrinsic, motivators. It is powered by our innate need to direct our own lives, to learn and create new things, and to do better by ourselves and our world. Type X behavior: Behavior that is fueled more by extrinsic desires than intrinsic and that concerns itself less with the inherent satisfaction of an activity and more with the external rewards to which that activity leads. The author has dwelled upon years of research and laboratory experiment in various countries i.e. India, Israel, America, etc. and has come to the conclusion that there are “3 key motivators for enduring performance i.e. autonomy, mastery and purpose (innate need to direct our own lives, to learn and create new things, and to do better by ourselves and our world, inherent satisfaction. We have conducted a survey in a local company International Industries (Ltd) to find employees\u27 perception & work approach towards three key motivation variables proposed by Daniel H Pink. After analyzing the responses of all the sampled employees targeted for this research, we can deduce employees’ way of thinking and approach towards work is influenced by intrinsic motivation variables i.e. autonomy, mastery, and purpose (innate need to direct our own lives, to learn and create new things, and to do better by ourselves and our world, inherent satisfaction on the sample of employees tested
