bluuebunny/crossref_metadata_2025 huggingface dataset:
K stavebním proměnám venkovského domu v pozdním středověku a raném novověku: příklad ze Zbečna u Křivoklátu / Structural changes of a rural house in the Late Middle Ages and Early Modern period: An example from Zbečno, Central Bohemia
Authors:   National heritage institute, Kypta Jan , Laval Filip , Neustupný Zdeněk ,   National heritage institute, Marethová Barbara ,   National heritage institute
Published: August 2021

Extraordinarily valuable house no. 22 in the village of Zbečno (Rakovník district) underwent complex construction development in the Early Modern period. The oldest preserved structures date from the 16th century, and significant reconstruction work took place in the 18th century. However, the origin of the house is substantially older. The article presents the comprehensive results of an archaeological excavation performed in a pair of living rooms and in the courtyard of the homestead. In the stratified layers beneath today’s floors, it was possible to distinguish the remains of three consecutive medieval houses, the internal layout of which corresponded to the floor plan of today’s house. Two of these houses were destroyed by fire. Pottery dates the construction of the earliest house to the period between the second half of the 13th century and the first half of the 14th century. Although the current walls are slightly shifted in plan from the medieval development stages, the orientation of the main dispositional axes has not changed.
Koráliky z germánskej rezidencie v Cíferi-Páci (juhozápadné Slovensko) / Beads from the Germanic residence at Cífer-Pác (southwest Slovakia)
Authors:   Katedra klasickej archeológie, Filozofická fakulta, Trnavská univerzita v Trnave, Varsik Vladimír , Illášová Ľudmila ,   Katedra geografie a regionálneho rozvoja, Fakulta prírodných vied Univerzity Konštantína Filozofa v Nitre, Štubňa Ján ,   Katedra geografie a regionálneho rozvoja, Fakulta prírodných vied Univerzity Konštantína Filozofa v Nitre
Published: August 2021

When compared with contemporary Germanic settlements, the assemblage of beads from the late antique elite residence at Cífer-Pác (Trnava district) is exceptional not only in the number of individual specimens but also in the variability of forms and materials used. Apart from usual types of glass beads, the assemblage also comprised specimens made from rare materials (marble, carnelian) and materials that appear exotic in the barbarian territory north of the Danube (sea coral, jade). They were identified with the help of natural scientific analyses and gemological methods (Raman spectroscopy). Absorption spectroscopy was used to analyse elements that influence the final glass colour.
Novověký vojenský tábor jako archeologická lokalita. Výzkum polního ležení v Semonicích u Jaroměře (okr. Náchod) / An Early Modern military camp as an archaeological site. The excavation of the field camp in Jaroměř–Semonice (northeast Bohemia)
Authors:   Katedra archeologie, Filozofická fakulta, Univerzita Hradec Králové, Drnovský Pavel , Hejhal Petr ,   Katedra archeologie, Filozofická fakulta, Univerzita Hradec Králové, Průchová Erika ,   Archeologický ústav, Filozofická fakulta Jihočeské univerzity
Published: August 2021

The study addresses the archaeological excavation of the military field camp of the Prussian or Austrian army from 1745, 1758 or 1778. Features with a burnt layer, apparently field kitchens, and other features that probably served as dwellings were documented at the site uncovered during the construction of the motorway in northeast Bohemia. The burial of a man was found in the ditch that was part of camp fortifications. The find assemblage is composed primarily of items that can be regarded as waste and lost items.
Introduction: The People in Question? Constitutional Citizenship and Its Impact on Statelessness and Citizenship Studies
Authors: von Rütte Barbara
Published: August 2021

N/A
People, Sovereignty and Citizenship: The Ethnonational Populists’ Constitutional Vocabulary
Authors: Kovács Kriszta
Published: August 2021

N/A
The Broadening Protection Gap for Stateless Palestinian Refugees in Belgium
Authors: Van Doren Wout , Lejeune Julie , Claes Marjan , Klein Valérie
Published: August 2021

This paper reflects upon the issue of statelessness, Palestinians and a recent evolution of Belgian caselaw. When seeking to apply the definition of a ‘stateless person’, as found in art 1 of the 1954 Convention Relating to the Status of Stateless Persons to Palestinians, judges are confronted with specific challenges. Since 2016, divergent standards are developing as to the question of whether, and in which circumstances, Palestinians may be stateless for the purposes of international law. This evolution takes place in a national landscape characterised by a statelessness determination procedure that falls short of standards set out in the United Nations High Commissioner for Refugees Handbook on Protection of Stateless Persons in a number of areas, while a growing number of asylum seekers originating from Palestine are registered over the period 2016–19. This paper exposes, anno 2020, the protection gaps left open by the remarkably divergent approaches to this question taken by the different national actors involved.
RESEARCH OF CIRCULAR MODEL OF SUSTAINABLE AGRICULTURAL DEVELOPMENT
Authors: Strapchuk Svitlana
Published: August 2021

The relevance of the study is due to the need to find a balance between subsystems of sustainable economic development by determining the rational structure, regulation of intersectoral relations and providing opportunities for progressive changes. The aim of the article is to study the balance of structural changes in the economy of Ukraine and their role in ensuring sustainable development of the agricultural sector. The model of intersectoral balance was chosen to determine the existing market relations, which allows to forecast the development of all branches of the real economy and agriculture in particular within one mathematical model. Based on the different views of scientists on the prospects for economic growth in Ukraine, the urgent need for high rates of economic restructuring has been identified. The effect of weakening economic growth through structural simplification has been established in the researches of scientists. In this context, the country's further specialization in "raw material" exports is a matter of concern, which may have a negative impact on price factor in the long run. The ratio of intermediate consumption to total output in the intersectoral balance of Ukraine is much higher than in developed countries, which indicates the high cost of the economy. In addition, we have much greater stability of agricultural expenditure indicators compared to other industries.
The ways of production use of goods and the existing relationships between the main sectors of the economy can be explored through the structure of the intersectoral balance, in which the input (initial) data are indicators of final consumption. The structure of intermediate consumption allows determining the coefficients of direct costs, which are stable over time and do not depend on the volume of production in the industry. However, the structure of direct costs is subject to the influence of not fully predictable factors, which include changes in technology and competition.
The paper identifies a decline in the share of self-sufficiency (circularity) of agriculture in the gross output of the industry in favor of a growing share of exports. The share of exports in the structure of gross output of the agricultural sector of Ukraine has been steadily growing for the last seventeen years. Systems of equations of manufacturing industries have been developed to find solutions for optimizing structural changes in industries in general and in agriculture in particular. It is proposed that the current structure of the economy requires new sources of growth, which can be realized through the circular model of agriculture that can be promoted by the circularity of agriculture.
Segregation control for ultrathin Ge layer in Al/Ge(111) system
Authors: Ohta Akio , Kobayashi Masato , Taoka Noriyuki , Ikeda Mistuhisa , Makihara Katsunori , Miyazaki Seiichi
Published: August 2021

An impact of the vacuum anneal of Al/Ge(111) structure on the Ge segregation has been investigated to get an insight into the precise control of ultrathin Ge crystalline growth. The Al/Ge(111) structure was prepared by thermal evaporation of Al on wet-cleaned Ge(111) and then vacuum annealed without air exposure to promote Ge formation on the Al surface. The Ge formation and its chemical bonding features were evaluated by X-ray photoelectron spectroscopy analysis. In addition, changes in the average Ge thickness depending on annealing temperature and time were crudely estimated. We found that the annealing temperature had a greater effect than time on the control of sub-nanometer scale Ge growth.
InGaN-based red light-emitting diodes: from traditional to micro-LEDs
Authors: Zhuang Zhe , Iida Daisuke , Ohkawa Kazuhiro
Published: August 2021

InGaN-based LEDs are efficient light sources in the blue–green light range and have been successfully commercialized in the last decades. Extending their spectral range to the red region causes a significant reduction in LED efficiency. This challenge hinders the integration of red, green, and blue LEDs based on III-nitride materials, especially for full-color micro-LED displays. We review our recent progress on InGaN-based red LEDs with different chip sizes from hundreds to tens of micrometers, including the epitaxial structures, device fabrication, and optical performance (peak wavelength, full-width at half-maximum, light output power, efficiency, temperature stability, and color coordinates).
Accounting in the fourth industrial revolution: Exploration of digital currency exchanges using AHP method
Authors:   Faculty of Economics, Management and Accounting, Yazd University, Yazd, Iran, Sadeghi Samaneh , Barzegari Jamal ,   Faculty of Economics, Management and Accounting, Yazd University, Yazd, Iran
Published: August 2021

Abstract Purpose: The present study aimed to analyze and select the best exchange in the field of digital currencies with a futuristic perspective. Research methodology: The research method in this article is to use Analytic Hierarchy Process (AHP) to identify the strengths and weaknesses of each of these exchanges and analyze their coefficients according to the criteria of security, support, commission, number of currency codes, authentication, and trading volume. Results: The most important criteria in choosing the best digital currency exchange are: security, support, commission, number of currency codes, authentication and trading volume. Limitations: The limitations of this research can be the characteristics of digital exchanges in the field of providing digital currency cryptographic services in accordance with the framework of the Fourth Industrial Revolution. Contribution: According to the weight of the obtained criteria will be prioritized, which from the results and analysis obtained in this research can be used to invest in the field of currency cryptography and select the top exchange.
Fraud Detection in Healthcare System using Symbolic Data Analysis
Authors:   Department of Computer Science and Engineering, Basaveshwar Engineering College (Autonomous), Bagalkot (Karnataka), India., Munavalli Sahana , Hatture Sanjeevakumar M. ,   Department of Computer Science and Engineering, Basaveshwar Engineering College, Bagalkot Under Visvesvaraya Technological University, Belagavi (Karnataka), India.
Published: August 2021

In the era of digitization the frauds are found in all categories of health insurance. It is finished next to deliberate trickiness or distortion for acquiring some pitiful advantage in the form of health expenditures. Bigdata analysis can be utilized to recognize fraud in large sets of insurance claim data. In light of a couple of cases that are known or suspected to be false, the anomaly detection technique computes the closeness of each record to be fake by investigating the previous insurance claims. The investigators would then be able to have a nearer examination for the cases that have been set apart by data mining programming. One of the issues is the abuse of the medical insurance systems. Manual detection of frauds in the healthcare industry is strenuous work. Fraud and Abuse in the Health care system have become a significant concern and that too inside health insurance organizations, from the most recent couple of years because of the expanding misfortunes in incomes, handling medical claims have become a debilitating manual assignment, which is done by a couple of clinical specialists who have the duty of endorsing, adjusting, or dismissing the appropriations mentioned inside a restricted period from their gathering. Standard data mining techniques at this point do not sufficiently address the intricacy of the world. In this way, utilizing Symbolic Data Analysis is another sort of data analysis that permits us to address the intricacy of the real world and to recognize misrepresentation in the dataset.
Elastic Behavior of Lay-Ups Angles of Laminated Composite Beam with Material Property Grading
Authors:   Associate Professor, Department of Mechanical Engineering, College of Engineering, King Abdulaziz University, Saudi Arabia., Asiri Saeed
Published: August 2021

The article discusses the study of Vibration Analysis of Generally layered Graphite-Epoxy with lay-up [300 /500 /300 /500 ]. The finite element method is utilized in the study, to analyze the effect of lay-up on the natural frequency and comparing the results with the article[1]. Method: The study is done using Ansys. Graphite-epoxy is considered for the study. The model is prepared from SHELL 281 element which is well-suited for composite shells and sandwiched construction. The accuracy in modeling composite shells is governed by the first-order MindlinReissner shell theory. The element has 8 nodes with 6 degrees of freedom at each node translations in the x, y, and z axes, and rotations about the x, y, and z-axes respectively. Finding: The study concludes that the values of natural frequency decreased when increased the difference between angles of lay-up. Novelty/Applications: Vibration Analysis study has been done in aspects, like sandwiched beam in which different materials are sandhwiched in a layer by layer fashion. Many studies also covers composite material with lay-up in great detail, but there is acute study about the comparision of the different lay-up angles at given boundary condition. These articles cover the same at a greater extent, and conclude that the strength and capacity of composite beams can be enhanced not only by blending composites together, but also giving importance to the arrangement of layers of composite materials.
Inverse Thermoelastic Analysis of a Thick Rectangular Plate
Authors:   Department of Physics, Janki Devi Bajaj College of Science, Wardha (Maharashtra), India., Bagade Sanjay H
Published: August 2021

Thermal stresses and displacement functions are obtained for a rectangular plate occupying the space R: -a < x < a, 0 < y < b, -h < z < h, with the known boundary and initial conditions. In this inverse problem the unknown surface temperature is determined on the boundary along the y-axis when the temperature at some internal point is known. The governing heat conduction equation has been solved by applying Marchi – Fasulo transform and Laplace transform techniques. The solutions are obtained in form of infinite series. The results for displacement and thermal stresses have been computed numerically and illustrated graphically for Aluminium plate. MSC 2010: 74A10,74J25, 74H99, 74D99
Automatic Table Detection, Structure Recognition and Data Extraction from Document Images
Authors:   Department of Computer Science and Engineering, GVP College of Engineering, Visakhapatnam (A.P.), India., Vineetha Borra , Harini D. N. D. ,   Department of Computer Science and Engineering, GVP College of Engineering, Visakhapatnam (A.P.), India., Yelesvarupu Ravi ,   CEO, Hallmark Solutions, Visakhapatnam (A.P.), India.
Published: August 2021

In the recent advancement, the extensive usage of electronic devices to photograph and upload documents, the requirement for extracting the information present in the unstructured document images is becoming progressively intense. The major obstacle to the objective is, these images often contain information in tabular form and extracting the data from table images presents a series of challenges due to the various layouts and encodings of the tables. It includes the accurate detection of the table present in an image and eventually recognizing the internal structure of the table and extracting the information from it. Although some progress has been made in table detection, obtaining the table contents is still a challenge since this involves more fine-grained table structure (rows and columns) recognition. The digitization of critical information has to be carried out automatically since there are millions of documents. Based on the motivation that AI-based solutions are automating many processors, this work comprises three different stages: First, the table detection using Faster R-CNN algorithm. Second, table internal structure recognition process using morphology operation and refine operation and last the table data extraction using contours algorithm. The dataset used in this work was taken from the UNLV dataset.
Israel: Is COVID-19 Expected More Than a War? (The Increase in Customs Value in Israel, Due to the COVID-19 Increase in Transport Prices - The Problem, and the Solution)
Authors:   LL.B (Bachelor of law), Advocate for customs and international trade, Department of Indirect Taxation, PWC Israel, Tel-Aviv Jaffa, Israel., Wagner Omer
Published: August 2021

Sea freight prices have risen sharply, due to the COVID-19 crisis, global shortages of ships, declining competition in the field, and containers of contagious demand. The increase in transportation costs leads to the increase in the value of goods for customs purposes, and to a further collection of customs duties. The Israeli law allows the state to facilitate importers and waive the extra customs duties, and similar and other facilitations have been made in the past. Therefore, all that is required is the flexibility and activation of goodwill on the part of the state, when interpreting the law.
PPP for Metro Project: A Case Study of Hyderabad Metro
Authors:   Post Graduate Student, Department of Civil Engineering and Management, School of Architecture and Planning, Vijayawada (Andhra Pradesh), India., Mehta Darshit , Dungi Jagath Kumari ,   Assistant Professor, Department of Architecture, School of Architecture and Planning, Vijayawada (Andhra Pradesh), India.
Published: August 2021

The new metro rail policy was enacted by the government of India in the year 2017. Under this policy, under section xiv, the Government of India (GOI) made it compulsory to seek Public-Private Partnership (PPP) for metro projects which are intending to seek financial assistance from the central government. Hyderabad Metro is by far the largest metro project to be executed under PPP, but is it successful? This paper investigates various factors that affected the timeline of the Hyderabad metro. It evaluates various aspects in the preconstruction, construction, and post-construction phase of the Hyderabad metro. Finally, suggestions are made in the form of conclusions that would increase the likelihood of a successful PPP in the metro.
THD Minimization in Cascaded H-Bridge Inverter using Optimal Selective Harmonic Elimination
Authors:   Pursuing MTech, Department of Power Electronics, Raghu Institute of Technology (Autonomous) Visakhapatnam (Andhra Pradesh), India., Rao K Venkateswara , Rao G Joga ,   Associate Professor, Department of EEE, Raghu Institute of Technology (Autonomous) Visakhapatnam (Andhra Pradesh), India.
Published: August 2021

Cascaded structured multilevel inverters are gaining lot of importance due to their simple structure and easiness in implementation. In this paper, the optimum selective harmonic elimination method is employed for a nine level inverter to suppress the selected lower order harmonic, which reduces the total harmonic distortion of the inverter considerably. The Newton rapson algorithm is employed in finding the switching angles that minimizes certain lower order harmonics. The order of the harmonics that are eliminated are third, fifth, and seventh harmonics. All the simulation results included for a nine level inverter using SIMULINK. Index Terms: Nine level MLI, Control of inverter, Modular Inverter.
A Novel Method for Starting of VSC-HVDC System
Authors:   M.Tech, Department of Power Electronics, Raghu Institute of Technology (Autonomous), Visakhapatnam (Andhra Pradesh), India., Vamsi G. , Kumar P.Kiran ,   Assistant Professor, Department of EEE, Raghu Institute of Technology (Autonomous), Visakhapatnam (Andhra Pradesh), India., Rao G Joga ,   Associate Professor, Department of EEE, Raghu Institute of Technology (Autonomous) Visakhapatnam (Andhra Pradesh), India.
Published: August 2021

The voltage source converters (VSCs) are the circuits, which convert the power from one form to the other. The application of voltage source converter is vital in HVDC systems. The voltage source converter technology is employed for the smooth operation of any HVDC system. Hence, the HVDC systems based on VSC are gaining importance compared to the other HVDC systems. The starting up process of HVDC system is associated with large value of current, so a proper method of starting is required for the safe operation of the HVDC system. In this paper, a new and novel method is proposed for the smooth starting of the VSC based HVDC system, which will limit the current successfully with high speed operation. Index Terms: Nine level MLI, Control of inverter, Modular Inverter.
Rumor Detection
Authors:   Student, Department of Computer Science, Indira College of Engineering and Management, Pune (Maharashtra), India., Bhosale Yogesh J. , Kedari Mayuresh B. ,   Student, Department of Computer Science Indira College of Engineering and Management, Pune (Maharashtra), India., Tarawade Tejas V. ,   Student, Department of Computer Science Indira College of Engineering and Management, Pune (Maharashtra), India., Late Abhishek S. ,   Student, Department of Computer Science Indira College of Engineering And Management, Pune (Maharashtra), India.
Published: August 2021

Everyone has internet access and is connected to social media in today's fast-paced world. Numerous pieces of data are disseminated on these websites, but there is no reliable source for confirmation or verification. This is where rumors come into play. Rumors are deliberate fabrications intended to sway or drastically alter popular opinion, and their impact can be seen in politics, especially during elections, and on social media. Thus, to resolve this problem, a rumor detector is needed that is capable of accurately indicating whether information is false or real. We implemented algorithms such as Multinomial Naive Bayes, Gradient Boosting, and Random Forest on complex datasets to get this Rumor Detection System closer to more reliable rumor performance. Accuracy of Multinomial Naive Bayes is approximately 90.4Forestitwas86.588.3
Effect of Vegetation Cover and Shading on Thermal and Visual Comfort in Institutional Campus Outdoor Spaces in India
Authors:   Deenbandhu Chhotu Ram University of Science and Technology, Murthal Sonepat (Haryana), India., Kalia Aastha ,   Deenbandhu Chhotu Ram University of Science and Technology, Murthal Sonepat (Haryana), India.
Published: August 2021

This paper investigates the phenomenon of Urban Heat Island (UHI) in open spaces that when combined creates a problem at a city level. This paper will primarily focus on institutional campuses, wherein open spaces play a vital role for each and every user for interaction and other purposes. When architects and urban designers deal with the physical properties of a space, and therefore modify its material, thermal, and lighting characteristics, they influence the social environment as well. The method used in this study is the analysis of secondary data available so far. The aim of the study is to understand the UHI phenomenon in urban public spaces and suggest measures that would help mitigate the same and make it a better space in terms of comfort. It includes off-site measurement of climatic conditions on particular given day and observations of student behavior in the public spaces. The result is obtained by ENVImet software simulation in the case study area of DCRUST university campus in Murthal, Haryana. The study area is located in the North part of India and has composite climate. This paper refers to research results showing the comparison of various cases that can be designed in an urban open space and with the help of simulation it shows the best combination to be used and how that combination changes the open space design by improving thermal comfort. It shows that in composite climate, the strategy of implementing thick and heavy foliage vegetation in combination with the water body (such as artificial ponds, swales, pits etc.) causing evaporative cooling that in return enhances the microclimatic environment and visual comfort for pedestrian walkability, usability of the open space and by acting against the anthropogenic heat.
Tweet Retrieval and Analysing the Trends
Authors:   Department of IT & CSE, Meerut Institute of Engineering and Technology, Meerut (U.P), India., Malik Utkarsh , Kaur Harpreet ,   Department of IT & CSE, Meerut Institute of Engineering and Technology, Meerut (U.P), India., Chaudhary Aditi ,   Department of IT & CSE, Meerut Institute of Engineering and Technology, Meerut (U.P), India.
Published: August 2021

We can’t disregard the importance of Social Media in Today’s Technology Era. Internet is almost in every hand. People uses various Social Media platforms to express themselves and their thinking about various topics such as Politics, Entertainment, Sports, etc. In the Data Science industry, trend analysis can be used for several purposes like marketing or product analysis. Twitter data has been used to analyze political polarization and the spread of protest movements. Twitter is one of the most popular social media platform that allows the users to spread and share information. Twitter publishes the list of recent or latest topics named as “Trending Topics” which shows all the happenings in the world and what are the people’s opinions about those topics. This Trend Analyzer will work on a given set of tweets and generates a graph based on the tweets and showsthe comparative popularity of the used hashtags. This Analyzer will examine a set of tweets using Python and text-processing techniques
Wireless Speed Control of Vehicles with Detection of Person & Zebra Crossing
Authors:   Department of Electronics and Communication Engineering, Sahrdaya College of Engineering and Technology, Kodakara (Thrissur), India., Sajan Ann Zenna , King G R Gnana ,   Department of Electronics & Communication Engineering, Sahrdaya College of Engineering and Technology, Kodakara (Thrissur), India.
Published: August 2021

Pedestrians crossing zebra lines are one of the major concerns for road accidents. Nowadays, the number of road accidents increases due to careless driving and pedestrian motions at crosswalks. It is necessary to detect both person and zebra crossings properly and control vehicle speed accordingly. Here in this paper, a suitable solution that improves both detections can be introducing. Here used the TensorFlow Single Shot Detection (SSD) model is the best and most convenient trained model for Zebra line and person detection. A database is taking for the analysis. The input image could process as a crosswalk detection, which has more used for zebra crossing identification via the SSD model. Suppose detected the person and zebra crossings were at the same time. In that case, it will perform commands such as run, slow down, stop, horn, etc., with the help of wireless serial communication Universal Asynchronous Receiver-Transmitter. A Bluetooth command signal matches UART, which provides the vehicle with the necessary control inputs to execute the prescribed topology properly. Simultaneous detection of pedestrians at zebra crossings is a critical factor. It results most efficiently and to identify the person detection.
New Corporate Tax: Impact of Corporate Tax Cut on Indian Economy
Authors:   BBA.LLB, KIIT School of Law, KIIT University, Bhubaneswar (Odisha), India., Saha Amartya ,   BBA.LLB, KIIT School of Law, KIIT University, Bhubaneswar (Odisha), India., Kumari Ankita ,   BBA.LLB, KIIT School of Law, KIIT University, Bhubaneswar (Odisha), India., Padhy Anuradha ,   BBA.LLB, KIIT School of Law, KIIT University, Bhubaneswar (Odisha), India., Panda Anuradha ,   BBA.LLB, KIIT School of Law, KIIT University, Bhubaneswar (Odisha), India.
Published: August 2021

On 20th December, 2019, the Central Government introduced the Taxation Laws (Amendment) Ordinance, 2019, which created a favourable taxing environment for the Companies. Through this Ordinance, section 115BAB, which covers all sorts of domestic companies, that is, any company formed and registered in India, was introduced in the Income Tax Act which offered a very low tax rate of 15% (17.5% including surcharge and cess) to the new manufacturing companies. This Ordinance also reduced the Tax rate for domestic companies to 22% (25.17% including surcharge and cess). Additionally under the new corporate assessment strategy, new organizations that set up assembling offices in India beginning in October and initiate creation before the finish of March, 2023 will be charged at a viable pace of 17%. This move did cause a rise in the value of the stock in India, but through this paper, we plan to delve deeper into how this new introduction affected the economy of India – ranging from the stock market to the value of rupees against dollar, the idea behind introducing this Ordinance, while also touching upon what is Corporate Tax and the Corporate Tax system that was present before the introduction of section 115BAB.
Fuel Spill Monitoring for Fishing Smack using Raspberry Pi
Authors:   Student, Department of Electronics and Communication Engineering, Sahrdaya College of Engineering and Technology, Kodakara, India., L Manisha N , A Silpa P ,   Assistant Professor, Department of Electronics and Communication Engineering, Sahrdaya College of Engineering and Technology, Kodakara, India.
Published: August 2021

Fuel spill monitoring for fishing smacks is a live fuel leak detector that can alert the vessel's crew and captain about the leakage by using a web camera connected to a Raspberry Pi. The fuel spill was resolved using the Convolution Neural Network (CNN). Also, the Coast Guard and the Environmental Protection Agency were informed about the location of the oil discharge through telegrams. Here, a picture of the spill, as well as its latitude and longitude, a live Google map location, and a no spill picture with a GPS location whenever the spillage stops, will be shared. As a result, the team could take immediate action without delay. This spill detection system is linked to an accident detection system. Hence, we can safeguard fishing vessels and marine activities without any harm to human kind, as well as to the living beings in the sea.
Supplies and Equipment Inventory, Monitoring and Tracking Management System using Data Mining Techniques
Authors:   Instructor, Scholar of Commission on Higher Education, Department College of Hospitality Management, Cagayan State University, Tuguegarao City, Philippines, Tungcul Mignonette B. , Kummer Marifel Grace Capili- ,   Dean, School of Information Technology & Engineering, Doctor in Information Technology Program Coordinator, St. Paul University Philippines
Published: August 2021

In the present time, there are lot of web and software developer who provides different types of databased and online system to ease the burden of the different supply officer’s/inventory officers of different companies and government sectors but Cagayan State University is one of the big universities that remained inventory management in a manual way. This study together with the development of SEIMTMS was conducted to innovate the current system used and to abolish the difficulties and challenges encountered by the Supply Office staffs in inventory management, record keeping, monitoring and tracking, and report generation. Classification and clustering techniques were utilized to produce information and comprehensive decision support reports that aids the Supply Officer and University administration on decision- making and budget allocation. Furthermore, the system used Clustering technique together with MFP algorithm to forecast the frequently purchased supplies and frequently repaired equipment. These decision support reports are essential for Office Heads in identifying items to be purchased for a particular quarter. With the use of ISO/IEC 25010:2011 Software Quality Standards, the system was evaluated by IT Experts with a mean 4.67, qualitatively described as “very graet extent”.
Diploma Engineering Students’ Perceptions of Online Distance Learning
Authors:   Academy of Language Studies, Universiti Teknologi MARA Johor, Malaysia., Saidalvi Aminabibi , Noorezam Maisarah ,   Universiti Teknologi MARA, Pasir Gudang, Johor, Malaysia, Zakaria Nursyuhada ,   Universiti Teknologi MARA, Pasir Gudang, Johor, Malaysia, Sa’adan Nadzrah ,   Universiti Teknologi MARA, Pasir Gudang, Johor, Malaysia, Fakhruddin Wan Farah Wani Wan ,   Universiti Teknologi Malaysia, Skudai, Johor, Malaysia, Rasdi Nurul Nadiah ,   Universiti Teknologi MARA, Pasir Gudang, Johor, Malaysia, Rahman Sharifah Amani Syed Abdul ,   Universiti Teknologi MARA, Pasir Gudang, Johor, Malaysia
Published: August 2021

The Covid-19 pandemic and the subsequent Movement Control Order (MCO) has resulted all formal classroom learning for 4.9 million students at all levels of education in Malaysia was suspended since March 2020 till todate. Educators were advised to shift from traditional face-to-face classroom meetings to distance learning mode; online or offline platforms. However, the reality is, the majority of the students are still grappling with e- learning, inadequate equipment, and an unconducive environment making the adoption of home-based elearning even harder. There is no evidence on how Diploma engineering students are experiencing this new normal. Having realised the importance of getting first-hand information regarding online distance learning (ODL) experiences, this study investigated Diploma engineering students’ ODL experiences amidst COVID-19. An online survey using Google Forms was utilised to collect data for three weeks from 486 Diploma level students in a university from the southern region of Peninsular Malaysia. Using descriptive quantitative and qualitative analysis, the distribution of study participants, learning experiences, and expectations on educational decisions of ODL was investigated. The findings highlight the need to transform education for more tech-based lessons for the millennials and there is a need to a properly planned ODL implementation with full support from all involved in ODL mode. As classes move online in the foreseeable future, the findings of this project will benefit UiTM and the government in restructuring digital education post-Covid-19 to develop employability and the productivity of the future generation.
“Design and Development of Tractor Drawn Subsurface Manure and Seed Applicator”
Authors:   Ph.D Research Scholar, Farm Machinery and Power Engineering Department, G. B. Pant University of Agriculture and Technology, Pantnagar Uttarakhand, India., Kumar Abhishek , Singh Jayant ,   Professor, Farm Machinery and Power Engineering Department, G. B. Pant University of Agriculture and Technology, Pantnagar Uttarakhand, India.
Published: August 2021

Organic farming is now recognized as the best known alternative to the conventional agriculture, where cultivation and raising of crops and best quality of food is grown without any harm to the soil health, environmental and to the human being and microorganism present in the soil. Efficient organic nutrient supply to plant in adequate quantities to sustain most plant growth and yield while minimizing the environmental affected by the use of large quantities of inorganic fertilizers and pesticides which reduces the soil characteristics and productivity. Vermicom post is the major alternatives for organic farming with higher plant nutrients. Therefore, a tractor drawn subsurface manure and seed applicator was designed and developed in Farm Machinery and Power Engineering Department, G.B.P.U.A& T Pantnagar, Uttara khand for placement of vermicom post (organic manure) at a depth of 50 to 200 mm below the soil surface. Firstly the frame for vermicom post and seed hopper was fabricated according to the desired capacity of vermicom post manure hopper. Six rectangular orifices were provided for delivery of manure at the middle of the bottom surface of the manure hopper. A counter shaft was fixed on the frame which was driven by the ground wheel and rotated the horizontal screw conveyor shaft of the manure hopper as well as seed hopper shaft by means of chain - sprocket arrangement. The velocity ratios between the ground wheel and the manure and fluted roller shaft were 2:1. The manure hopper shaft and fluted roller shaft were rotated at 14, 35 and 41 rpm when tractor forward speed 2, 4 and 6 km/h, respectively. Two depth control side wheels were provided below the frame to adjust the depth of cut of machine in field operation. A furrow opener was designed to penetrate into the soil at the desired depth and placed the vermicom post and seed below the soil surface.
Time Series Analysis of Trend and Variability of Monthly Total Rainfall
Authors:   Professor, Vidya Jyothi Institute of Technology, CB Post, Aziznagar, Hyderabad, India., Ramakrishna R. , Goud R.Gautham ,   Asst Professor, CVR College of Engineering, Mangalapally, Ibrahimpatan, Hydearabad, India., Sbhat Alemayehu ,   Department of Statistics, CNCS, Mekelle University, P.O.Box231, Mekelle, Tigray, Ethiopia.
Published: August 2021

The long-term variation in rainfall, one of the most important conditions for the climate in a particular region. The purpose of this study was to analysis the total monthly rainfall in the Maychew, which is located in the Tigray region of Ethiopia. The monthly rainfall is on the Maychew meteorological station has been calculated for the period from 2007-2018. The data were analyzed with the help of Minitab-14, R-3.3.1 an Overview of the descriptive statistics and unvaried, Box-Jenkins method, The seasonal ARIMA model was built to analyze the observed data and forecast the total rainfall, after the detection of nonstationarity using the Augmented Dickey-Fuller Test is a Test, and time plot. Some of the main findings of the study indicated that the monthly total rainfall tends to increase. In addition, it was found that, on the basis of the data contained in the history of the last twelve years of age. In addition, the descriptive statistics show that the average amount of rainfall in the Maychew is 58.82. After non-seasonal the first-order differentiation and once seasonal series, differentiation, they will be moved. A time series model for the Maychew Station and was adapted to be processed, diagnostically tested, and ultimately, to be obtained by SARIMA (3, 2, 2)*(0, 2, 2)12 a model has been created, and this model was used to Forecast the two years monthly values of the total rainfall. The forecasted accumulated rainfall values showed a similar pattern to the previous reports.
A Smart Device for the Prediction of Epileptic Seizures using Machine Learning Algorithms
Authors:   Rising Senior, Plano Senior High School, Plano, Texas., Ramakrishnan Navya
Published: August 2021

More than 65 million people live with epilepsy. The unpredictable nature of epileptic seizures drastically increases the risk of injury, especially in daily activities such as walking or driving. The purpose of this project is to develop an accurate prediction device that utilizes raw EEG data for the prediction of epileptic seizures to alert patients of an oncoming seizure beforehand to escape dangerous situations. Using the raw EEG data, features were extracted by computing the average power spectral density of different brain waves after applying the Fast Fourier Transform. These features were used as the input dataset to the machine learning algorithms. Each model is tested with new unseen data using various metrics such as accuracy, precision, recall, and F1 score. The highest performing algorithm, Random Forest (RF) produced a prediction accuracy of 99.0% and a precision of 99.3%. Channel importance is calculated for the RF algorithm. This analysis helped to reduce the number of channels from 22 before feature importance to only 7 channels without significant hits to performance metrics. Using the RF algorithm, an embedded program is developed to run on a portable, low-power hardware device to predict the onset of a seizure. The hardware includes BeagleBone Black microcontroller running open-source software and a Bluetooth transmitter-receiver to transmit the prediction to smartphone devices. By reducing the number of EEG channels to 7 channels, the system is more convenient for a future wearable device. Hardware with the ability to predict epileptic seizures can save many patients from potentially dangerous situations such as driving or swimming. It can help many patients in their daily lives by removing the uncertainty and improving their quality of life.
Design and Analysis of MIMO F-OFDM Systems for 5G and Beyond Wireless Communications
Authors:   Assistant Professor, Department of Information and Communication Engineering (ICE), Pabna University of Science and Technology, Bangladesh., Sarker Sohag , Ara Laila Arzuman ,   MSc, Majoring Data Science, Military Institute of Science and Technology (MIST) – Dhaka, Bangladesh., Alam Tahsin ,   B.Sc. (Engineering) Student, Department of Information and Communication Engineering, Pabna University of Science and Technology, Pabna, Bangladesh., Debnath Tarun ,   Lecturer, Department of Information and Communication Engineering, Pabna University of Science and Technology, Pabna, Bangladesh.
Published: August 2021

F-OFDM (Filtered-OFDM) is a flexible waveform that has been considered suitable for 5G and beyond systems for its improved spectrum utilization, moderates PAPR, low OOB emission, multiple asynchronous sub-band transmission, and high robustness to frequency selectivity. It can attain a desirable balance between frequency and time localizations for narrow bandwidths. It is also MIMO friendly. In this paper, a comprehensive design and analysis have been made to evaluate the performance of MIMO (4×4) CP-OFDM and F-OFDM systems for message bits transmission using several digital modulation techniques (16-QAM, 16-PSK, 16-DPSK, 64-QAM, 64-PSK, and 64-DPSK), RA channel coding, different windowed (Hanning, Hamming, Blackman, Blackman-Harris, RRC) sinc FIR filters for length N = 513, and MMSE signal detection technique. From MATLAB based simulation results, it is observed that F-OFDM reduces spectrum leakage thus enhances spectrum efficiency than conventional CP-OFDM. F-OFDM based system offers lower BER (Bit Error Rate) performance than CP-OFDM based system.
Scalable Architectural Pattern for Integrating Syslog Servers with Splunk
Authors:   Assistant Professor, Department of Information Technology, Sasi Institute of Technology & Engineering, Tadepalligudem (Andhra Pradesh), India., Koyya Krishna Mohan
Published: August 2021

An enterprise infrastructure consists of several devices. The devices emit event notifications representing their current state. The devices without storage such as printers and routers are configured to send the event notifications in the form of syslogs to one or more remote syslog servers over the network. Depending on the size and usage of the enterprise infrastructure, millions of syslogs may be emitted per second. These syslogs are used by the system administrators to detect and address the anomalies in the infrastructure. The system administrators often integrate the syslog servers with Log Analysis tools that offer aggregation, analytics, and visualisation capabilities. Splunk is one such popular tool that can be integrated with syslog servers. This paper proposes an architectural pattern for syslog servers that are to be integrated with Splunk for better performance, scalability and resilience.
Development of Effective Artificial Neural Network Model using Sequential Sensitivity Analysis and Randomized Training
Authors:   Department of Mechanical Engineering, Indian Institute of Technology Guwahati (Assam), India., Daydar Akshay
Published: August 2021

As the machine learning algorithms evolve, there is a growing need of how to train the algorithm effectively for the large data with available resources in practically less time. The paper presents an idea of developing an effective model that focuses on the implementation of sequential sensitivity analysis and randomized training approach which can be one solution to this growing need. Many researchers focused on the implementation of sensitivity analysis to eliminate the insignificant features ands reduce the complexity in data selection. These sensitivity analysis methods relatively take a large time for validation through modeling and hence found impractical for large data. On the other hand, the randomized training approach was found to be the most popular approach for training the data but there is a very brief explanation available in research articles on how this training method is meaningful in getting higher accuracy. The current work focuses on the use of sequential sensitivity analysis and randomized training in an artificial neural network (ANN) for high dimensionality thermal power plant data. The sequential sensitivity analysis (SSA) technique includes the use of correlation analysis (CA), Analysis of variance (ANOVA), Akaike information criterion (AIC) in a sequential manner to reduce the validation time for all possible feature combinations. Only selected combinations are then tested against different training methods such as downward extrapolation, upward extrapolation, interpolation and randomized training in ANN. The paper also focuses on suggesting the significance of training with randomized training with comparison-based qualitative reasoning. The statistical parameters, mean square error (RMSE), Mean absolute relative difference (MARD) and R Square (R^2)were accessed for validation purposes. The research work mainly useful in the field of Ecommerce, Finance, industry and in facilities where large data is generated.