Bøger udgivet af LAP Lambert Academic Publishing

This textbook offers a unified engineering perspective on Neural Networks and Fuzzy Logic. The authors guide readers swiftly and succinctly through the intricate subjects of neural networks, fuzzy logic, and the mathematical modeling of Fuzzy Logic Control. The theory of fuzzy logic provides a mathematical framework to capture uncertainties related to human cognitive processes, such as thinking and reasoning. Conventional methods for knowledge representation lack the means to signify the meaning of fuzzy concepts. The authors discuss fundamental ideas and elucidate various techniques using numerous examples. This book is an ideal text for students majoring in Electrical and Electronics Engineering, Electronics and Communication Engineering, Computer Science Engineering, and Information Technology at the undergraduate level.

In emotional marketing, a single emotion is used to engage the viewer and encourage a purchase. Emotional marketing incorporates feelings like pleasure, anxiety, or rage to stir up an emotional reaction in the target market.The book is broadly focused on two major area a. Emotional Purchase Intention, where analysis is performed based on intentions of customers and b. Emotional Customer Purchase Intention, where analysis is focused on role of Insurance agent using emotions and selling insurance product. The result on how mediating effect of Emotional Marketing and Emotional Brand Association of consumer when buying an insurance product and mediating effect of Emotional Persuasion and Emotional Promotion by insurance agent while selling an insurance product.

Посібник підготовлено відповідно до ОПП спеціальності 051 Економіка та робочої програми дисципліни "Соціально-економічний розвиток регіону". У ньому представлено у вигляді таблиць та рисунків сутність та наукові засади предмета. Досліджено проблему розміщення продуктивних сил та обґрунтовуються підходи до її правильного розв'язання, проаналізовано фактори розміщення продуктивних сил, розглядаються такі питання проблеми економічного районування України, вплив територіального поділу праці на розвиток економіки регіонів, заходи щодо впровадження регіональної економічної політики, становлення господарських та міжгалузевих комплексів, аналіз природо-ресурсного та трудо-ресурсного потенціалів України, формування міжнародних економічних зв'язків України. Крім того, висвітлено основи сталого розвитку та розкрито основи економічної оцінки джерел природних ресурсів.

The monograph reveals the theoretical and methodological foundations of the engineering of the information security management system of modern process-oriented enterprises, taking into account the basic system-forming principles of the theory of organizational systems. The content of the monograph is the result of a critical analysis of numerous professional publications in terms of their compliance with the basic principles of the general theory of organizational systems. It includes the results of the author's scientific research and their practical approbation during the implementation of many consulting projects at real enterprises. Considerable attention is paid to the analysis and synthesis of the conceptual framework of process management. From the system positions, the prospective author's methodology of selection, composition and graphic description of technological and management business processes is laid out, taking into account the possibility of conducting an audit of information security risk management of a modern process-oriented digitalized enterprise. The monograph is aimed at researchers, managers and specialists in information security of enterprises.

The internationalization of criminal law, as a subset of the globalization and globalization of law and as the acceptance of criminal law rules at the international level through international legal processes, has reached its peak with the establishment of the International Criminal Court, and in this regard, the coordination of the domestic laws of countries in The case of international crimes can be evaluated from the perspective of an international obligation as well as domestic legal and political expediency.

With the concept of computational thinking as a core element, the proposed paper critically inventories the main directions in the literature, focusing on the shift from psychology - pedagogy to mathematics - computer science.Redefined in 2006, the concept is now at the peak of research and applications for pre-school and school children. It is no coincidence that two years ago computational thinking was introduced as an operational element in the Shanghai Compulsory Curriculum; there it was based on the premise that societies are targeting a fulminating economic development through paradigm shifts in teaching and learning on the integration of new computational thinking skills alongside the basic skills - reading, writing and counting. Indeed, "computational thinking is a fundamental skill for everyone, not just computer scientists. To reading, writing and mathematical skills, we should add computational thinking to every child's analytical ability" (Wing, 2006).

In many countries, without exception to India, towns and cities are being developed nearby hilly regions also. Due to scarcity of plain terrains, construction of multi- storied buildings are extended to hilly regions causing vertical irregularities in such buildings. During an earthquake, the dynamic behavior of the structures on hilly slopes will be different in terms of natural time periods and displacements compared to those constructed on plain regions. Examples of severe damages or collapse of buildings, witnessed during 2001 Bhuji,2011 Sikkim and 2015 Nepal earthquakes, made researchers to study the response of structures standing on hilly regions.In the present study, a multi-storied building(G+5), resting on different slopes like 150, 300, 450 in hilly regions with stepped back configuration, is chosen for study. The response parameters like natural frequencies, time periods, base shears and displacements are worked out and the results are compared with those when similar building rests on plain region. The results obtained using "STAAD Pro" software are compared with those of results obtained from manual calculations and the variation.

The chloride resistance is the most important phenomenon of concrete structure durability, it is related to the penetration of chlorides. The strength of the steel is reduced due to the occurrence of chloride ions in concrete structures. This research investigates the effects of penetration of chloride ions and acid resistance on self- compacting concrete in different ages. Mineral admixtures like fly ash have been used to concrete mixed with cement replacement ratios of 0%, 5%, 10%, 15%, 20%, 25%, 30%, and copper slag is replaced with the fine aggregate ratio of 20%, 40%, 60%, 80%, 100% and also study the fresh properties like L-box, U-box, V-funnel and slump flow and mechanical properties are compressive strength, flexural strength, and split tensile strength of the self-compacting concrete. Durability properties of SCC assessed with rapid chloride penetrability test and acid resistance by using M40 grade concrete.

У підручнику представлено 12 лабораторних робіт з визначення об'ємної твердості металів, вимірюваних за допомогою класичних твердомірів Брінелля, Роквелла, Віккерса, а також лабораторні роботи по вимірюванню твердості пірамідою Берковича у нанодіапазоні. Кожна робота представляє закінчене наукове дослідження, що дає змогу значно поширити функціональні можливості сучасних твердомірів. Для кожного метода розроблені та апробовані відповідні формули та детально прописана методика досліджень. Ці лабораторні роботи в першу чергу орієнтовані на аспірантів та студентів технічних навчальних закладів, но можуть також використовуватися на металургійному виробництві і в машинобудуванні для оцінки якості продукції за методами визначення твердості. Всі роботи пройшли апробацію у продовж останніх 10 років, набрали позитивний досвід і можуть бути рекомендовані для активного втілення у навчальний процес технічних університетів.

This book is designed to be a comprehensive resource for investors of all levels, whether you're just beginning your journey in the world of stocks or seeking to deepen your understanding of fundamental analysis. We will explore the essential principles of financial statement analysis, delve into key financial ratios, and discuss advanced topics such as management analysis, valuation methods, and risk assessment. As the financial markets continue to evolve and new challenges emerge, our approach to fundamental analysis must also adapt. We'll explore the role of technology and data analytics in shaping the future of investing, and discuss strategies for staying ahead in a rapidly changing landscape.

Water using for mixing and curing of concrete or mortar should be free from deleterious chemical substances, which are likely to exert appreciable influence on hardening and strength development of cement mortar or concrete. In practice, very often, a greater control on the properties of cement and aggregate is exercised, but the control on the quality of water is often neglected. A popular yardstick to the suitability of water for cement mortar or concrete is that, if the water is fit for drinking, it is fit for making cement mortar or concrete also. However, this doesn't appear to be true for all conditions. Water containing a small amount of sugar may be suitable for drinking but not for cement mortar or concrete and conversely, water suitable for making concrete or mortar may not necessarily be fit for drinking especially if the constituents of water present at more than the maximum permissible limit. The concrete mixing water is generally required to comply with British Standards (BS: 3148 - 1980), standards of the American Society for Testing and Materials (ASTM Standard C 94 - 78a), or with the Indian Standards (IS 456 - 2000).

Lasers have quickly become indispensable in Oral and Maxillofacial Surgery as a modality for the treatment of soft tissue surgery. As laser technology has advanced, so too has its use within the expanding scope of Oral and Maxillofacial Surgery. Lasers not only allow surgeons to enhance current surgical options for treatment but also have contributed to the evolution of a variety of new procedures in Oral and Maxillofacial Surgery. The incorporation of lasers into the practice of Oral Maxillofacial Surgeons has led to exciting advances in surgical therapy and improved patient care. Advances in laser technology undoubtedly will yield new procedures and have a major role in the future of minimally invasive surgery.

The new state of Andhra Pradesh has identified the region spanning the Guntur and Krishna Districts for developing a new capital. The development of the core is proposed on a green field site in the flood plain of Krishna River on Guntur side adjoining the existing settlement of Amaravathi.Being a highly productive land, yielding three irrigated crops a year, land acquisition has been quite expensive for the state. As such, the urban design has considered compact with high rise developments. In view of the heavy investment involved in the development of the capital, it is imperative to plan and protect these developments from natural and man made disasters.The project aims at evaluating the terrain Amaravathi region and carrying out the seismic response of multi-storied structures rest Spatial database has been prepared to carry out integrated spatial analysis and to identify the vulnerable zones in the study region in the event of an earthquake. Terrain evaluation is carried out by creating various thematic maps for soil & rock types, and seismo-tectonics of the study area at a high-resolution scale. After obtaining details of terrain evaluation, geotechnical and seismic analyses.

Flood frequency analysis involves the fitting of a probability model to the sample of annual peak flood recorded over a period of 30 years observation, for a catchment of a Prakasam Barrage. The probability plot and flood frequency curves by Gumbel distribution of Prakasam Barrage reservoir are prepared using three different plotting position formulas which are Weibull, Gringorten and L-moments. And reservoir capacity is determined by using the Mass Inflow curve and demand curve. The model parameters established are then used to predict the extreme events of large recurrence interval. Reliable flood frequency estimates are vital for flood plain management; to protect the public, minimize flood related costs to Government and private enterprises, for designing and locating hydraulic structures and assessing hazards related to the development of flood plains. Here by the study, the discharge of Prakasam Barrage during floods is more than the Prakasam Barrage original discharge. So to store the flood, a hydraulic structure is to construct to utilize the water during peak time which may be supplied to the irrigation fields or used to generate the hydraulic power by constructing.

В настоящее время в мире уделяется больше внимания увеличению добычи и переработки нефти, расширению сфер использования нефтепродуктов, технологию подготовки нефти от состава и свойств, улучшению процессов и устройств добычи нефти. Для осуществления их первичной обработки ис-пользуются высокоэффективные деэмульгаторы. А вместе ежегодным увели-чением валового производство деэмульгаторов, с использованием местных сырьевых ресурсов создаются новые виды деэмульгаторов - поверхностно активных веществ, как ионогенной, так и неионогенной природы.

Green synthesis is more beneficial than traditional chemical synthesis because it costs less, zero pollution, and stimulates environmental and human health safety aspects in different conditions. Nanoscale materials are widely used in many fields such as environment, medicine, and engineering that synthesis of nanoscale metals is a timely topic. The present study reveals that the nanoscale metals are mainly synthesized by chemical methods encourages incidental effects such as environmental pollution, large energy consumption and potential health problems.

The study examined the influence of customer orientation, market intelligence, competitor orientation, and inter-functional coordination on university performance in terms of students' enrolment and retention, number of programmes and overall customer satisfaction. The study was guided by Ohmae's 3C model, social capital theory and relationship marketing theory. The target population was 63 universities in Kenya. The study revealed that market intelligence generation, competitor orientation, and inter-functional coordination positively and significantly influence university performance. Further, the results showed that inter-functional coordination improves both customer satisfaction and number of programmes and that competitor orientation improves both customer satisfaction and number of programmes when universities are categorized into private and public. The study thus concludes that a university should be market-oriented, and embrace market intelligence generation by disseminating gathered market information on competitors and students' needs across all university departments. Inter-functional coordination was also found to play a key role in University performance.

Artificial intelligence (AI) is rapidly revolutionizing pediatric dentistry, profoundly impacting diagnostic accuracy, treatment personalization, patient experiences, educational approaches, and research endeavours within the field. Leveraging advanced machine learning algorithms like convolutional neural networks (CNNs), AI enables precise and efficient detection of dental pathologies such as caries, malocclusions, and developmental anomalies, facilitating early interventions and optimized treatment plans tailored to each child's unique needs. Additionally, AI-driven predictive analytics tools forecast disease progression, allowing dentists to anticipate challenges and adjust treatment strategies proactively. In education, AI-powered virtual reality (VR) simulations provide immersive learning experiences, educating children about oral hygiene practices while alleviating dental anxiety. Furthermore, AI enhances access to care through tele-dentistry platforms and chatbots, extending services to underserved populations.AI analyses vast datasets to uncover insights into disease mechanisms, treatment responses, and risk factors, driving innovation in pediatric dental healing.

Implant-supported maxillofacial prostheses play a crucial role in restoring both the aesthetic appearance and functional abilities of individuals who have suffered facial disfigurement due to trauma, cancer, or congenital defects. By utilizing dental implants as stable anchors, these prostheses offer enhanced stability, durability, and comfort compared to conventional adhesive-based prostheses. They enable patients to regain confidence in their appearance and speech, facilitating social integration and improving overall quality of life. Additionally, implant-supported maxillofacial prostheses contribute to restoring proper facial symmetry and occlusion, which can positively impact chewing, swallowing, and overall oral health. Through their customizable design and precise fitting, these prostheses provide tailored solutions to meet the unique needs of each patient, offering a comprehensive approach to facial rehabilitation.

This research addresses multifaceted environmental challenges linked to urbanization by introducing a transferable UNET model designed for precise greenery detection in high-resolution satellite imagery. The dataset, consisting of 72 images captured over Dubai by MBRSC satellites and annotated by the Roia Foundation, serves as the foundation of our study. While rooted in Dubai, the model's adaptability extends beyond regional confines, offering a versatile solution to a spectrum of global urban environmental challenges. In addition to accurate greenery detection, the UNET model provides a holistic approach to urban land cover classification.

The content provides a comprehensive guide to understanding and navigating the world of investing, focusing on fundamental concepts, strategies, and practices in the stock market. It covers a wide range of topics, including the definition and purpose of the stock market, market participants, stock exchanges, trading mechanisms, building wealth through ownership, historical stock market returns, listing and delisting of stocks, types of stocks (common vs. preferred, blue-chip, growth, and value), deciphering stock codes, major indices (S&P 500, Dow Jones), market capitalization and sector indices, calculating market capitalization, impact of share price changes, evaluating a company's profitability, interpreting the P/E ratio, importance of dividends and dividend yield, full-service vs. discount brokers, online trading platforms, types of orders (market, limit, stop), timing and execution strategies, diversification and risk management, tracking performance and setting goals, market volatility and economic factors, external events impacting stock prices, business and financial risks, conducting fundamental analysis, risk tolerance and investment horizon.

"Unlocking the Blockchain: Innovations for Tomorrow's World" provides a comprehensive exploration of blockchain technology and its potential to revolutionize various industries and reshape the future. The book begins with an introduction to blockchain technology, covering its fundamentals, evolution, and impact on industries. It delves into the foundations of blockchain, including decentralization, distributed ledger technology, cryptography, and consensus mechanisms.The book explores blockchain innovations such as smart contracts, decentralized applications (DApps), non-fungible tokens (NFTs), and decentralized finance (DeFi) ecosystems, highlighting their significance and applications across industries. It examines real-world applications of blockchain in finance, supply chain management, healthcare, identity management, real estate, entertainment, and gaming, showcasing how blockchain technology is transforming business operations and enabling new possibilities.

This study investigates the impact of incorporating Al2O3 nanoparticles into a ducted air-conditioning system on its performance. Different mass fractions of nanoparticles are dispersed in the refrigerant to evaluate their influence on heat transfer and overall system efficiency. Experimental tests are conducted to measure key parameters such as cooling capacity, coefficient of performance (COP), and pressure drop across the system. Results indicate that increasing the mass fraction of Al2O3 nanoparticles enhances heat transfer while slightly elevating the pressure drop. Optimal performance is observed at specific nanoparticle concentrations, suggesting potential improvements in energy efficiency and cooling effectiveness for ducted air-conditioning systems through nanoparticle augmentation.

Renewable energy is energy that is collected from renewable resources that are naturally replenished on a human timescale. It includes sources such as sunlight, wind, rain, tides, waves, and geothermal heat. Renewable energy stands in contrast to fossil fuels, which are being used far more quickly than they are being replenished. Although most renewable energy sources are sustainable, some are not. For example, some biomass sources are considered unsustainable at current rates of exploitation.

In recent times, the need for an Employer to create a specific public image has become imperative for the success of their business. Competition is getting stiffer, products and services are imitated, and the possibility of competitors developing a better and more promising deliverable is becoming higher. Thus, Employers have realized that getting ahead of competition requires a drastic approach to focus on Employees who will get the job done. Several organisations tend to promote an exceptional image to potential employees, promising a particular employment experience. However, instances that the case differs from public perception, existing employee tends to spread the inadequacy and the effect will be a high staff turnover. Therefore, it becomes an issue of necessity for an organisation to align its promises with the actual situation to retain the best talent, which invariably pose a better opportunity ahead of its competitors.

Optical property of nonmaterial is the most prominent and widely investigated property. Both metal and semiconductor nanostructures show optical spectra though their underlying physics is different. Metal nanostructures show absorption spectra due to excitation of Plasmon and semiconductor nanostructures absorb incident radiation to transit from lower to higher energy state. Proper tuning of the shape, size, crystallinity and adsorbed surfactant leads to varied absorption and emission spectra which is prior criterion for suitability of their application in different devices. In this book, various nanocrystals are synthesized by one pot polymer assisted hydrothermal process. Their characterization and optical property is discussed in detail. Application of the synthesized nanomaterials are also demonstrated.

"Big Data Tools and Techniques" is a comprehensive guide covering essential topics in big data analytics. From basic concepts to advanced techniques, the book explores data mining, distributed computing, cloud computing, and Hadoop ecosystem components like Pig, Hive, and Zookeeper. It also introduces advanced technologies such as Apache Spark, Flink, and NoSQL databases, addressing the limitations of traditional frameworks. Additionally, the book emphasizes the importance of data visualization in enterprise data science, offering insights into various visualization tools and techniques. Overall, it provides a holistic understanding of big data analytics, empowering readers to navigate and innovate in this rapidly evolving field.

Spark Your AI Journey is your one-stop guide to building a smart system from scratch, even if you're a complete beginner. This book takes you step-by-step, from understanding the basics of artificial intelligence to designing and implementing your very own smart home or business solution.No coding experience? No problem! We break down complex concepts into easy-to-understand language, providing clear instructions and illustrations along the way. You'll learn about essential components like sensors, actuators, and AI platforms, and discover how to connect them all seamlessly.

This book is a must-read for any business owner or marketer seeking to thrive in Nigeria's modern-day market. With the rate of social media growth in Nigeria currently in double digits, it has become an attractive tool for marketers to engage directly with their target consumers. As more organisations, brands, startups, and SMEs continue to use social media to connect with their consumers, it is imperative to understand the impact of these marketing tools on consumer purchasing behaviour. Furthermore, with the increasing rate of celebrity brand endorsement in Nigeria, it has become a norm for businesses to adopt this marketing strategy. Celebrity endorsement has proven to be an effective way to reach more consumers and increase brand awareness. However, it is crucial to understand the impact of these endorsements on consumer buying behaviour. This book explores the influence of social media and celebrity endorsements on consumer purchasing behaviour in Nigeria, providing valuable insights for organisations and businesses.

The contemporary world is heavily influenced by web technology, with a significant increase in web information every year. Manual classification of web page documents proves to be both time-consuming and inaccurate, given the abundance of irrelevant, redundant, and noisy information present in web pages. Therefore, an automatic web page classification system becomes essential. Web page classification plays a crucial role in information management and retrieval tasks. Feature selection is a pivotal step in achieving accurate web page classification.Web pages typically contain a large number of features, which can adversely affect classification accuracy. The primary objective of the proposed research is to develop a hybrid feature selection approach that is not only efficient but also effective in automatically classifying web pages. This approach not only enhances classification accuracy but also aids web search tools in delivering relevant results within the appropriate category.