bluuebunny/crossref_metadata_2025 huggingface dataset:
Сurrent state of culans (Equus hemionus), inhabit in Kazakhstan
Authors:   Seifullin Kazakh Agro Technical University, Karagoishin Zh.M. , Ramazanov B.D. ,   RGP “PO Okhotzooprom”, Esmukhanbetov D.N. ,   Seifullin Kazakh Agro Technical University, Nurgozhaeva N.M. ,   Seifullin Kazakh Agro Technical University
Published: March 2022

Studies show that the density of coulans differs in different areas of the habitat. The habitats with high numbers include the Almaty region and the Kyzylorda region. In these places, the number of kulans reaches from 500 and higher individuals in the Barsakelmes reserve to 3.5 thousand or more individuals in the Altynemel state Park. In the Barsakelmes nature reserve, the population growth in 2019 compared to 2015 is 24.2 %, and in the AltynEmel national Park, the population growth in 2019 compared to 2015 is 25.2 %. During the period of habitation, the share of the influence of environmental factors and anthropogenic factors on the number of kulans is 99.0 %. This is mainly due to the influence of anthropogenic factors such as poaching and human occupation of the Kulan habitat. Today, there is a need to address the issue of overpopulation of kulans in the Altynemel state unitary enterprise. The number of kulans in Altynemel continues to grow and has long exceeded the optimal number. Due to the annual increase in the number of kulans in the Altynemel state farm, it is advisable to conduct research on the forage productivity of land and determine the optimal number of kulans. There is an urgent need to continue work on resettling animals in other areas to replenish existing and create new populations. In connection with the increase in the number of wolves, strengthen measures to regulate the number of wolves that cause damage to the population of Kulan in the Park. In the Zhambyl region, the remaining kulans are scattered over a large area outside the Andasay state nature reserve of national significance, where they are difficult to protect and account for.
Biodiversity of vertebrates and characteristics of their habitat in the State National Natural Park “Tarbagatai”
Authors:   State National Natural Park “Tarbagatai”, Kabsametov Rinat
Published: March 2022

The article states that living organisms can only live in favorable conditions, since they can only live in close contact with their natural environment. In fact, it is initially explained that animals did not choose their habitat, but rather had an adaptive effect on it. The article describes the features of the habitat of animals and ecosystems found on the territory of the Tarbagatai state national natural park, and the types of animals that live in these ecosystems.
The current state of the mountain goat (Capra sibirica Pallas) in the State National Natural Park “Kolsay lakes”
Authors:   GNPP “Kolsai Lakes”, st. Ultarakova, Turgambaev D.G. , Akhmetov Kh.A. ,   GNPP “Kolsai Lakes”, st. Ultarakova, Alimkulov M.M. ,   GNPP “Kolsai Lakes”, st. Ultarakova, Grachev A.A. ,   Institute of Zoology of the Republic of Kazakhstan, Arynov B.B. ,   GNPP “Kolsai Lakes”, st. Ultarakova
Published: March 2022

Since 2011, a one-time census of mountain goat on the territory of the State National Natural Park “Kolsai Lakes” has been carried out along 17 routes together with the staff of the Institute of Zoology. The mountain goat was counted by the methods of accounting for the main game and rare species of animals in Kazakhstan. The counts were carried out in spring and autumn. This article provides the results of the credentials on 17 routes by age, sex, abundance and habitat of ibex in 2020. The creation of the State National Natural Park “Kolsai Lakes” since 2007, following the results of 10 years, the number of ibex has increased significantly. In turn, this increase in numbers favors an increase in the number of Snow Leopards in their habitats.
Fauna of Geometridae (Lepidoptera) of the state national atural park “Altyn- Emel”
Authors:   RSE “Gylym Ordasy” Science Committee of the Ministry of Education of the Republic of Kazakhstan, Nazymbetova G.Sh. , Taranov B.T. ,   Kazakh National Agrarian University
Published: March 2022

As a result of the analysis of literature data and the collected entomological material, revision of collections, we registered 38 species of geometrid moths in the territory of the State National Natural Park “Altyn-Emel”, which are part of 19 genera from 3 subfamilies. In terms of species diversity, among the identified geometrid moths, representatives of the subfamily Sterrhinae prevail — 32 species, the subfamily Geometrinae — 6 species, and from the subfamily Larentiinae only 1 species. The geometrid moths fauna of the State National Natural Park” Altyn-Emel” is a complex zoogeographic complex, significantly enriched with Turanian and Eurasian elements. The zoogeographic complexity of the fauna is explained by the geobotanical and landscape-ecological features of the area. As a result of the research, an uneven distribution of the geometrid moths in biotopes was noted. Depending on the biotope occupied by the species, geometrid moths are subdivided into 3 main groups: mesophiles, xerophiles, and mesoxerophiles. The largest number of species belong to xerophiles — 22, which prefer steppe biotopes and steppe stony stations. Mesophiles are represented by 10 species. These species prefer floodplain and meadow biotopes of different types. 6 species — mesoxerophiles, most of which occupy meadow areas in steppe biotopes.
Dynamics of the body proportion of the putty frog in the flooded biotopes of the Irtysh river
Authors:   Pavlodar State Pedagogical Institute, Tarasovskaya N.E. , Bulekbaeva L.T. ,   S. Seifullin Kazakh Agro Technical University, Arystanbaу A.А. ,   S. Seifullin Kazakh Agro Technical University
Published: March 2022

Sharp-faced frogs are not well studied in Kazakhstan. The study focused on the morphological features of sharp-faced frogs, and the influence of helminths on the growth and development of amphibians. Special attention is paid to the dynamics of the body proportion of the sharp-faced frog in the soldered biotopes of the Irtysh river. The aim of the paper was the analysis batrachorhina measurements from 2007 to 2013 year. All data are statistically processed and reflected in the table. It is revealed that intensive infection of Rana arvalis with the pulmonary fluke Haplometra cylindracea was observed in 2007-2009 summer. This may have caused the selective death of young animals in 2008-2009. The length and body indices of sharp-faced frogs, as well as factors affecting their size are analyzed. The study analyzed many species of tailless amphibians and the decrease in the relative length of limbs as they move North may be due to thermoregulation, as the researchers suggest. The research suggestted that the population of frogs was partially or significantly replenished by migrating individuals — due to a drop in their number because of an increase in infection with highly pathogenic helminth and the absence of the Irtysh river flood from 2010 to 2012.
Internet of Musical Things Environments and Pure Data: A Perfect Match?
Authors: Vieira Costa Rômulo Augusto , Schiavoni Flávio Luiz
Published: March 2022

The Internet of Musical Things (IoMusT) is an emerging area based on concepts from the Internet of Things, new interfaces for musical expression, human-computer interaction, ubiquitous music, and many others. Despite being a novelty, it already has some ecosystem models that use their abstractions to allow musical practice. However, they are not standardized and tend to consider only the preferences of their creators, relegating Pure Data, when present, to a secondary role. In this context, this article presents the Sunflower environment, a tool created by the authors of this text and which uses Pure Data in all its development stages, highlighting the importance of such a tool.
Geoelectric Method Implementation in Measuring Area Groundwater Potential: A Case Study in Barru Regency
Authors: Falah Muh. Darwis
Published: March 2022

Geoelectric measurements to detect the presence of groundwater aquifers in the study area by knowing the type of lithology, distribution, thickness, and depth of rock layers carrying groundwater (aquifer), both vertically and laterally. The research objective is to determine the location for drilling, if later in the study area, the groundwater potential maximally utilized. In this study, the linear symmetry electrode arrangement, the Schlumberger configuration method, is used. Data collection in the field done by using a resistivity meter. The number of geoelectric points is 12 measurement points, but in the article, four geoelectric points will be discussed that can represent all the geoelectric points that contain high aquifers. The results obtained from the geoelectric measurements carried out show a shallow groundwater layer at a depth of 5.0 - 15.0 meters with an aquifer layer in the form of sandy clay (lateral weathering). Freshwater in freshwater at a depth of 25 - 150 meters following the geoelectric point of estimation with layers of sandstone aquifer and tuffaceous clay. Shallow groundwater is fresh with small productivity can be anointed with dug wells at a depth of 5 - 15 meters potential at all geoelectric points with a discharge of 1 liter/second. Then deep groundwater is of average productivity with a well drilled at a depth of 25 – 150 meters, potentially at a specific geoelectric point with a discharge of 1 – 5 liters/second.
The Role of Urban Sustainability in Placemaking: Measuring the Urban Dimension
Authors: Al-Issawi Zahraa Mohammed , Al-Jumaily Saad Khudhair
Published: March 2022

The research sheds light on the importance of the role that urban sustainability plays in placemaking, where the research discussed the principle of including sustainability at the urban level in its comprehensive concept, which includes the economic, environmental, and social dimensions in the placemaking process to reach sustainable models of urban places that are environmentally friendly and inexpensive or consuming energy sources. Renewable and more appropriate to the cultures and values of the local community, and the researchers emphasized that reaching an urban place-based on sustainability will contribute significantly to adapting to the problems of climate change, the shortage of energy sources and its high cost, reduces environmental pollution problems, increases the efficiency of the use of spaces and meets the different needs of its users. The primary research data were obtained for the selected samples (Salhia Residential Complex and Al Salam Residential Complex) using a questionnaire as a tool consisting of a set of questions directed to 20 people who were identified according to the experience and objectives of the study And coming out with the conclusions of the practical study that showed that the process of a sustainable urban placemaking is a dynamic process and that by its nature it supports continuity and compatibility with the environment, However, there are complementary principles, foundations, and goals that have been added from a sustainable perspective to reach urban spaces that are more compatible and responsive to the current challenges.
Utilization of Good Agricultural Practices and Technologies among Tomato Farmers in Oriire Local Government Area of Oyo State, Nigeria
Authors: AJ Anifowose , JO Oyetoro , WO Oyediran , FA Alaka , OM Ojo , BO Adebayo
Published: March 2022

The focus of this research is on the use of Good Agricultural Practices (GAPs) among tomato growers in the Oriire community of Oyo, Nigeria. Data were collected from 80 registered tomato growers in the study area through interview guides. The collected data undergoes descriptive statistics and Pearson product-moment correlation. The results showed that the average age of the respondents was 40.2 years old, and 63.7% of the respondents were men. The average annual income is ₦242,620. The awareness of GAPs is high (88.8%), but the usage is very low. About 87.5% of respondents received GAP information from relatives and friends. Tomato growers believe that high technical costs and access to credit are the main obstacles to GAP technology. The results show that there is a significant relationship between the selected information sources and the degree of use of GAP technology in tomato production. The study concludes that information channels, high technology costs, and credit availability are impacting GAPs adoption. Agricultural advisors should be ready to distribute GAPs to tomato growers and continuously train tomato growers to adopt and use GAPs.
Environmental Compliance Reactions to R & D Practices and Intellectual Capital: A Worldwide Evidence
Authors: Alber Nader , Saleh Amr
Published: March 2022

Our ecosystem and mainly our natural resources represent a vital ecological portfolio. Environment is good for business at a time business is not keen to invest in compliance measures. Sustaining the environment is costly and adds additional burden. The burden not only financial, it is mainly technical and managerial. Producing renewable energy and maintaining freshwater resource, reducing electricity production and emissions depend also on R & D practices such as trademark and patent applications. This also needs engineers, technicians, scientists and human capabilities with continuous knowledge and intellectual capital. The main research hypothesis has tested the effect of environmental protection and compliance on the R&D in intellectual capital creation. Environmental reactions are measured by “renewable internal freshwater resources”, “electricity production from renewable sources”, “access to electricity” and “alternative and nuclear energy”, while R & D practices are measured by “trademark applications”, “technicians in R&D” and “patent applications”.

Research hypotheses has been tested using panel regression analysis according to GMM technique. Using data of 94 countries during the period from 2001 to 2019, findings show that there are significant effect of “trademark applications” on “renewable internal freshwater resources” and of “technicians in R&D” on each of “electricity production from renewable sources” “access to electricity” and “alternative and nuclear energy”. Besides, “patent applications” seems to have significant effect on “alternative and nuclear energy”. Results have found that countries that have made environmental improvements are those who have invested in intellectual capital and made significant steps in improving their environmental R&D Capabilities.
Methodological Strategy for the Recovery of Overdue Portfolio in the Textile Sector
Authors: Johanna Lizbeth Medina-Sánchez , Mario Roberto Altamirano-Hidalgo
Published: March 2022

The overdue portfolio is the accounts receivable that a company has, whose payment date has already expired and has not yet been collected. Its proper management represents a fundamental aspect both in the financial planning and in the entity's growth, as it reflects possible significant risks in its finances. This study aims to propose a strategy for the mitigation of the overdue portfolio and its economic impact on the textile sector. In this sense, it is evident that the null or deficient policies of cash sales or credit, and of the latter in turn of extrajudicial and judicial collection policies, affect the correct presentation of the financial statements, directly affecting the company's economy, which leads to stagnation in production and sales. Therefore, the need to prioritize efficient collection management is corroborated. The descriptive methodology was used through four stages for the interpretive analysis of bibliographic documents. Theoretical methods such as logical history, synthesis analysis, inductive deductive, and empirical were used. Finally, as a result, a reference framework is obtained on which alternatives, and corrective actions can be managed and implemented that will allow the business sector, as well as the accounting, financial and legal areas, to enhance their strengths, for the proper management of sales and the prevention of uncollectible overdue portfolio.
Optimization of Skim Milk Based Medium for Biomass Production of Probiotic Lactobacillus Acidophilus ATCC 4356 Using Face Central Composite Design-Response Surface Methodology Approach
Authors: Abdulrazzaq Alaa Imad , Khalil Khalilah Abd
Published: March 2022

The use of commercial media to support probiotic bacterial growth is limited by its cost and off-flavour generated in food products. Thus, this study optimized skim milk and yeast extract concentration as a cultivation medium for optimal Lactobacillus acidophilus ATCC 4356 biomasses using FCCD-RSM. The statistical analysis showed that the optimal compositions of skim milk and yeast extract were at 9.46 g/L and 1.07 g/L, respectively by setting the goal of optimization for biomass production to be at maximum level and the factor concentration in selected range. Besides, pH profiling showed pH value declined from 4.262 to 4.061 during cultivation due to organic acid produced from carbohydrate metabolism at the predicted response in optimal conditions (0.979 OD600) generated by the RSM tool. However, the experimental and predicted results were not significant difference (P>0.05) with low error percentage. As conclusion, the optimized skim milk (10g/L) and yeast extract (1g/L) obtained from RSM model and experimental values can be used to support better biomass production for L. acidophilus and prepare the cells for further application.
Feature Extraction and Processing Analysis in Speech Recognition
Authors: Paliwal Mrinal , Saraswat Pankaj
Published: March 2022

The difficulties with automated identification and synthesis of various speech patterns have become significant research issues in recent years. Stressinduced speech characteristics were compared to normal speech in a feature analysis. Due to stress, the performance of Stressed speech recognition decreases substantially. In the speech communication system, the voice signal is transmitted, stored, and processed in a variety of ways. The speech signal must be delivered in such a way that the information content may be easily extracted from human listeners or machine automation. To enhance speech recognition performance, a stressed compensation method is employed to compensate for stress distortion. To identify different moods in speech signals, these features are collected and assessed in English. The variations in glottal excitement of common speaking patterns are examined in depth in this article. The sinusoidal model effectively describes the different stress classes in a speech signal, according to the results. When it comes to detecting emotions in a pressured speaker, sinusoidal features outperform linear prediction features.
A Review on Design of Smart Device for UV Radiation Measurement
Authors: Singh Deepak , Goswami Lakshmi
Published: March 2022

The sun plays an important role in our health, and too much sun exposure may cause anything from sunburns to skin cancer. Human skin cancer has become a growing health issue. Despite the fact that individuals are aware of the risks, skin damage caused by sunshine has risen in recent decades. The public nowadays relies on weather predictions to learn about UV radiation. For a certain broad region, the author offers rough or average predictions. To minimize the impacts of natural background radiation, this article provides a technique for calculating UV radiance utilizing UV sensors that detect the radiation and operate at a 300 nm wavelength. The sensor provides good detecting results at low and high UV levels, with response and regeneration durations of 22 seconds and 39 seconds, respectively. Using a Raspberry Pi and an LCD display, the author may also monitor and see the preventive steps that need to be performed.
A Review Paper on Digital Advertising
Authors: Singh Mr. Pooran , Jitendra Dr.
Published: March 2022

Despite the constantly increasing spending on digital advertising, the efficiency of the ecosystem's operating is becoming more apparent. This is because just a tiny portion of the money spent by businesses on different kinds of digital advertising yields the desired outcomes. In today's corporate world, the term "digital marketing" is a buzzword. Because of its cost efficiency, digital advertising, which is a small portion of it, has become the most frequently discussed and worked on. Communication between the customer and the seller has taken on a completely new meaning in the internet era. As more individuals become computer aware, the internet is developing as a powerful advertising medium. The purpose of this article is to explain the efficacy of digital advertising in terms of generating awareness, interest, and preference, as well as giving product information and encouraging purchase. The most popular ad formats is also explained. Consumers consider digital advertising to be helpful and interesting, according to the research.
Study of the Solar Collectors with Evacuated Tubes
Authors: Kumar Arvind , Parashar Shikha
Published: March 2022

Solar thermal collector systems allow solar energy to be used for cooling and heating. A heat transfer fluid is utilized in these collectors to transmit collected solar energy to applications that need it. Scientists have proposed various collector designs and better collection materials to enhance the solar collector's conversion efficiency. The use of Nano fluids to study solar collectors utilizing evacuated tubes is discussed in this article. The researchers used a two-step method to prepare Nano fluids, which improved nano fluid stability. Swasco laboratories in Mumbai provided the nanoparticles. Nanoparticles were mixed in distilled water and well blended before being used in the heat pipes. In this work, the Nano fluids were made in two stages, which enhanced nano fluid stability. Before being put in the heat tubing, the nanoparticle was well mixed with distilled water. Most solar collectors may be able to enhance their overall performance by using nano fluids. However, unless a few issues about nano fluid stability, overall performance, and hysteresis expectedness are addressed, the full potential of Nano fluids in heat transfer applications will not be realized.
NATURE OF THE DIOPHANTINE EQUATION 4X + 12Y = Z2
Authors: Behera Dr. S.P. , Panda Dr. A.C.
Published: March 2022

In this work, we discuss that the Diophantine equation 4 𝑥 +12𝑦 = 𝑧 2has no non-negative integer solution where x, y and z are non-negative integers.
A Review of Data Mining Techniques and Its Applications
Authors: Solanki Madhav Singh , Sharma Ms Anuska
Published: March 2022

Knowledge Discovery in Databases (KDD) is another name for data mining. It's also known as the process of extracting interpretable, intriguing and valuable statistics from unstructured data. There are a variety of resources which generally produce huge amounts of raw data. This is the primary cause for the fast growth of data mining applications. This article discusses data mining methods and their applications, including scholastic data mining (SDM), life sciences, commerce, finance, and medicine among others. We put current methods together to see how data mining might be used to various areas. Our classification focuses on research that was published between 2007 and 2017. We provide a simple and brief perspective of various models used in data mining with this classification.
A Brief Review on Machine Learning and Its Various Techniques
Authors: Saraswat Pankaj , Raj Swapnil
Published: March 2022

The word "learning" in ML (Machine Learning) refers to the process through which computers analyze current data and learn new skills and knowledge from it. ML systems use algorithms to look for patterns in datasets that include unstructured and structured data, numerical and textual data, and even rich media like pictures, audio, and video. Because ML algorithms are computationally intensive, they need specialized infrastructure in order to operate at large sizes. The three fundamental kinds of ML are supervised ML, unsupervised ML, and reinforcement ML, which are discussed in this article. The supervised learning method is described, and it demonstrates how to utilize supervised ML by splitting data into training and testing, and how training all prior data aids in the discovery of the predictor. Unsupervised ML, which helps to divide categories into different clusters or groupings, is then addressed in this article utilizing techniques such as k-means and idea component analysis. Finally, this article looks into reinforcement ML, which uses the right behavior to maximize rewards.
An Overview on the Manhole Edge Computing
Authors: Raj Swapnil , Paliwal Mrinal
Published: March 2022

One of the most important basic platforms in a smart city for preventing recurrent manhole cover accidents is an intelligent manhole cover management system. Manhole cover removal, loss, and injury endangers people's safety, which is contrary to the aim of smart cities. This article describes an intelligent manhole cover management system (IMCS) for smart cities that is based on edge computing. Each manhole cover has its own radio frequency identification tag with tilt and vibration sensors, and communication is done through a narrow-band Internet of things. Meanwhile, based on the collected data, edge computing servers communicate with appropriate management employees through mobile devices. The effectiveness of the proposed IMCS was shown in a demonstration application in Hangzhou's Xiasha District. It halved the repair time, possibly improving the safety of both humans and manhole covers.
Cloud Computing In Higher Education
Authors: Saraswat Pankaj , Raj Swapnil
Published: March 2022

Information Technology (IT) plays a critical role in delivering education services to users. To assist students, professors, researchers, and administrative personnel, most education online services at universities have been run on the cloud. These are made possible by the rise of cloud computing in the IT industry. Cloud computing provides Internet-based computer services on demand. The use of cloud computing in higher education, namely tertiary institutions and universities, is discussed in this article. The difficulties of cloud computing in higher education are the subject of the article. It examines studies on adoption difficulties in higher education institutions and provides background on cloud computing. These difficulties are significant because they offer an overview of cloud adoption in higher education. To study the variables that affect users' attitudes and behaviors about utilizing The authors established an integrative references framework based on difficulties in the research and the TAM model for cloud educational solutions in schools' ICT offering.
A Green-IoT Healthcare and Agriculture Application
Authors: Paliwal Mrinal , Saraswat Pankaj
Published: March 2022

In the fields of agriculture and healthcare, the usage of two very common prominent and emerging technical knowledge, Cloud Computing i.e., CC in short and the Internet of Things or IoT in short, is currently a trending topic. Motivated by a desire to create a more ecological world, the authors in the paper examines a number of technological aspects and concerns related to eco-friendly CC and IoT, and expands on the argument by examining the fall of electric power intake of the two listed techniques when used together either in farm or health related work. It will be addressed in the paper - the idea of the ecological ICTs (Information and Communications Technologies) and its past that are responsible for empowering Green-IoT. Eco-friendly or green computing is introduced initially, followed by a discussion of current research on the discussed two very fast developing knowledges in farming and medical care. Furthermore, this article adds by proposing a sensorcloud integration paradigm for Green-IoT Healthcare and Agriculture Application (GHAA). Finally, the benefits, difficulties, and future research prospects for green application design are listed. Our study seeks to expand the green area and contribute to a more sustainable future.
Automated Waves Files Splitting
Authors: Paliwal Mrinal , Saraswat Pankaj
Published: March 2022

The ASS (Automatic Speech Segmentation) Technique is used in this article to segment spontaneous speech into syllable-like units. The segmentation of the acoustic signal into syllabic units is an essential step in the construction of a syllable-centric ASS system. The purpose of this article is to determine the smallest unit of speech that should be regarded when writing. Any voice recognition system may be trained. In a few Indian cities, technologies for continuous voice recognition have been created. Hindi and Tamil are examples of such languages. This article examines the statistical characteristics of Punjabi syllables and how they may be used to reduce the number of syllables in sentence. During voice recognition, the search area is expanded. We explain how to perform the majority of the segmentation in this article automatically. The frequency of syllables and the number of syllables in each word are shown. We suggest the following: For objective evaluation of stuttering disfluencies, an automated segmentation technique for syllable repetition in read speech was developed. It employs a novel method and consists of three stages: feature extraction, rule matching, and segmentation.
"An Analysis of Application of Natural Language Processing in Enhancing Education"
Authors: Raj Swapnil , Paliwal Mrinal
Published: March 2022

NLP (Natural Language Processing) is an intriguing technique for improving educational settings. In educational modelling, actualizing NLP entails beginning path toward learning via regular acquisition. It is dependent on operative methods in providing answers to numerous training problems. Conventional Processing allows for organization in a broad variety of areas linked to language learning's social & social context. It's a proven approach for instructors, students, authors, & teachers to assist with producing, analysis, & evaluation methods. NLPis widely used in a wide range of educational institutions, including research, phonetics, eLearning, & assessment modelling, & it leads to good outcomes in or educational organizations, such as schools, advanced education institutes, & colleges. Purpose of this article is to discuss process of acquiring a common language & its implementation in educational institutions. Study approach also discusses how NLP may be utilized in conjunction with logical PC projects to enhance training process. Subjective approach is pursued in research methodology. Information is collected from auxiliary assets in order to identify problems that teachers & students have in comprehending environment due to language barriers. Findings show that traditional apparatuses, such as language, sentence structure, & printed designs, are viable in educational settings for learning & assessment.
An IoT-Based Approach to an Intelligent Irrigation System
Authors: Sharma Ms. Anuska , Saraswat Pankaj
Published: March 2022

The technology (IOT) is a huge influx of technological advancements (ICT). The Iot technology (IoT) is a broad phrase that encompasses a wide range of capabilities, possible uses, multiple data collection, and operating approaches. The present IOT research activities are centered on the creation but also design of mandates and open infrastructures, which still have issues that must be overcome before they can be fully implemented. This paper includes an introduction of IoT technology and its uses in farming systems, as well as a measurement of prior survey research and a suggestion for an irrigation management monitoring system. This project's main purpose is to create new agricultural technologies that will boost vegetative growth and water resources. Following the measurement of temperature, humidity, and moisture content, a smart control system is provided, which employs cutting-edge electrical tech and a microcontroller to switch the hydrostatic gear ON and OFF when the atmosphere's most content is recognized. Following the temperature measurements, moisture levels, and soil moisture, a Bluetooth service member is also offered.
Encryption and Decryption Techniques in Cloud Computing
Authors: Saraswat Pankaj , Raj Swapnil
Published: March 2022

While big data applications in cloud computing are rapidly growing in popularity, privacy issues have increased dramatically. Encrypting data in real time is one of the most important issues during data processing and transfer. In order to reach an acceptable performance level, many modern applications forego data encryptions, which is incompatible with privacy concerns. This article covers several virtualized processes and analyses the cloud technology safety challenge and way to solve in brightness of cloud technology ideas and characteristics. Information confidentiality and dependability of services are major cybersecurity problems in internet applications. A singular monitoring platform will not address the cloud hosting privacy challenge; to defend the whole clouds infrastructure, a mix of old and new methods and technology must be employed in harmony. The author demonstrates the use of encoding and decoding techniques in aspects of the data confidentiality, computation time, and virtualized systems effectiveness. On top of this infrastructure, they may enable dynamically data storage functions on encoded information sections for inclusion, deleting, and updating, which we think will be future work for improvement.
A Literature Review on Big Data Analytics
Authors: Solanki Madhav Singh , Sharma Ms. Anuska
Published: March 2022

Huge volumes of data have been available to policymakers in the digital world. Big data is a term to collections that are not always huge, but also varied and fast changing, rendering standard tools and procedures inadequate. Due to the quick creation of such data, techniques to organize and retrieve value and knowledge from these sets must be explored and given. Additionally, choice should be able to obtain relevant information from that wide and continuously changing collection of data, which encompasses everything from ordinary activities to customer communication and social data. Analytics, and that is the deployment of advanced analytics methodologies to enormous volumes of data, may deliver such value. It article looks at some of the numerous analytics concepts and methods that may be utilized utilizing massive data, or the prospects that data analytics might provide in many decision domains.
"Weather Monitoring System Using the Raspberry Pi Based Internet of Things (IoT)"
Authors: Sharma Surbhi
Published: March 2022

A serious method to track the climatic conditions at a certain area and make the data accessible from across the world is the technique provided in this research. The Internet of Objects (IoT) is the invention behind this solution, which provides a serious and able solution to connect things with the internet and the full world of things through a network. Could be used here for things like electronic contraptions, cameras, and electronic automobile gear. The system uses sensors to monitor and regulate environmental variables, such as temperature, relative humidity and carbon dioxide, then sends the data to the site and graphically measures the sensor data. The updated system data may be viewed from anywhere in the world via the internet. This approach also allows the monitoring of urban and mechanical regions to be utilized for climate change control. In order to safeguard public health from emissions, this model provides a clear and reliable way to continuous weather observation.
"Diabetic Retinopathy Early Detection Using Bag of Features Point Dependent Image Processing Methods"
Authors: Sharma Indu
Published: March 2022

Diabetic Retinopathy (DR) is a major problem that impairs anthropological eyesight. It is usually formed at the rear side of the eye retina, when lightsensitive tissues' blood vessels are damaged. Based on symptoms or diseases in the eye, such as mild visual difficulties, vision loss, blindness, damage to blood vessels in the retina caused by high blood sugar levels, etc., attention is required. Investigators have confronted a crucial test for the early identification of eye illness using image recognition methods for many years. A method for automatically identifying diabetic retinopathy based on topographies such as point-based from retinal pictures utilizing SVM and basket of topographies techniques. There are four steps in this procedure: The input eye retina picture is pre-processed in the first step. We smear rescaling geometric changes like revolution for picture enhancement in the second phase. In the third stage, we present an automated technique based on point-based features and a list of pictures for first diabetes or nondiabetic diagnosis utilizing SVM and a basket of topographies such as Haar modification image processing methods. Lastly, we liken the measurements like RMSE, PSNR, Elapsed Time and Accuracy utilizing this future method.
"A Design of Novel Method for Classification of Waste Materials with its location using Deep Learning and Computer Vision for Smart Cities"
Authors: Oberoi Dr. Ashish
Published: March 2022

Waste management is the one of the main problems in all over the globe, presently waste materials are collected and sorted by hand, it is very time consuming and it also requires so much man power. Improper management of waste materials leads to hazards including environmental deterioration, soil contamination, water pollution, and air pollution. To solve this problem, there may be a requirement for an automatic method to aid to recognize the type of waste substances and it’s Position. Today’s technology is so sophisticated due of Artificial Intelligence and Machine Learning. These technologies may be utilized to address various real time issues, this article handles the fundamental challenge of detecting and separating the waste items like plastic, paper and metal with their location. In this article above stated issue is addressed using the Faster RCNN (Region Based Convolutional Neural Networks) model which is very much accurate compared to other algorithms like YOLO (You Look Only Once) and other similar algorithms. The model is trained on a custom dataset gathered on a mobile camera and pre-processed using Label-Img Tool. Data collected with different light conditions and in unique angles. The model is trained using Faster R-CNN identify objects and to obtain locations. This may assist individuals to keep their surroundings tidy and to become conscious of the garbage substances and to identify them. This paper has been precisely recognizing kind of items and places with higher accuracy.
Social media usage among small enterprises during Covid-19 pandemic
Authors: Bakar Noor Aziah Abu , Gani Norhaninah A. , Muhamad Nurisyal
Published: March 2022

When Covid-19 pandemic struck the countryand Malaysian government enacted the Movement Control Order, business operations were disrupted. Social media has become an essential platform for merchants to market their products and ensure business survival. Most small businesses have begun to use social media as a marketing tool, mainly since Covid-19 spread throughout the country. Despite this, few studies have been conducted to determine the extent of such consumption among small traders. The main purpose of this study is to investigate the level of social media usage as a marketing tool among small enterprises. Two hundred seventeen questionnaires were collected from entrepreneurs in the service sector throughout Selangor using snowball sampling. Gender and the year of business existence were factors in social media usage. These findings will be of interest to those who are interested in entrepreneur behaviour in relation to social media usage and the continued development of Malaysia's social media usage as a marketing tool.
Studi Deskriptif Pembelajaran Daring Pada Mata Pelajaran IPA Terhadap Siswa SMP Bhakti Mulia Wonosobo
Authors: Indraswari Rosita
Published: March 2022

This study aims to identify the factors that influence the success of online learning and evaluate the implementation of online learning that has been  in progress. The research method was carried out by distributing questionnaires to 34 students which were saturated samples where all students became respondents as well as primary sources. The data were analyzed descriptively to explain the existing phenomena. The results showed that online learning had been carried out well with satisfactory learning outcomes due to the influence of factors such as adequate media equipment, student learning motivation, teacher ability in teaching, mastery of teaching materials. and proficiency in using online devices as media, as well as students' level of understanding.
Efektivitas Penggunaan Kamera Keamanan Pada Sekolah Menengah Kota Batam
Authors: Kifta Decky Antony
Published: March 2022

Beberapa sekolah menengah di Batam baru-baru ini memasang kamera keamanan di lingkungan sekolah. Hal ini dilakukan karena banyaknya kejadian yang terjadi di lingkungan sekolah, seperti pencurian, tamu yang tidak diundang masuk ke lingkungan sekolah, dan hal ini masih terjadi walaupun di sekolah ini sudah ada sistem keamanan yang dilakukan oleh satuan pengaman internal atau Satpam. Namun penerapan sistem keamanan yang dilakukan oleh security ini masih kurang efektif dimana masih sering terjadi tindakan yang tidak menyenangkan seperti pencurian dan lain sebagainya. Untuk itu maka digunakanlah sistem keamanan kamera kamera keamanan, yang gunanya adalah untuk meminimalisir tejadinya tindakan yang tidak diinginkan di lingkungan sekolah menengah di Kota Batam.
Illocutionary Act in Ice Age Collision Course Movie Script
Authors: Abdullah Achmad Fauzhi , Nurwahyuni Kiki , Lantemona Olha Suzitha
Published: March 2022

Language is very important for human being, because through language we can convey messages, information, communicate ideas and opinions. Language is also used in every aspect of life because human is a social creature who need interaction with the other in orde`r to carry out daily activities to get the meaning especially speech act by using the classification of illocutionary act by George Yule. This research aims to analyze the utterance in the dialogue of the Ice Age Collision Course movie script by using pragmatic study to understanding meaning in relation to speech situations or social contexts and comprehend meaning through language. This research applies qualitative content analysis method. The source of the data in this research is primary data. The technique of data collections are downloading the script, read the movie script intensively, clasifying the data, and data reduction. While the techniques of data analysis are presenting the data, describing each data, interpreting the data and concluding. The result shows there are 10 data with five types illocutionary acts expressed by all the characters such as Directives, Representatives, Commisive, Expressive and Declarations act.
Reseña: F. J. Gómez Espelosín, En busca de Alejandro: historia de una obsesión, Alcalá de Henares, Servicio de publicaciones de la UAH, 2016, 438pp. [ISBN 978-84-16599-88-2].
Authors: Molina Ignacio
Published: March 2022

Reseña de F. J. Gómez Espelosín, En busca de Alejandro: historia de una obsesión, Alcalá de Henares, Servicio de publicaciones de la UAH, 2016, 438pp. [ISBN 978-84-16599-88-2].
The Assessination of Archelaus and the Significance of the Macedonian Royal Hunt
Authors: Greenwalt William
Published: March 2022

Aristotle is the best extant source for the death of Archelaus during a Royal Hunt. He clearly indicates that Archelaus was murdered by Crataeas who, along with two co-conspirators, Hellanocrates of Larissa and Decamnichus, were incited to their plot by perceived injustices at the hand of the king. This article argues that in lieu of a widely agreed upon constitution in Argead Macedonia, a king’s legitimacy was basedlargely (if not solely) on the perception that he was the font of justice, and by his appearance in sacred rituals—one of which was the royal hunt—which religiously validated his right to rule. Thus, this murder was carefully timed by the conspirators to reject the legitimacy of Archelaus for not dispensing “correct” justice in their respective cases. As always personal animosities get roiled into politics in Argead Macedonia.
Alexander, the King in Shining Armor
Authors: Alonso Troncoso Victor
Published: March 2022

This paper deals with an aspect of Alexander the Great's representation that had not been systematically studied by the modern scholars as yet, the refulgent panoply of the Macedonian king in combat. The author collects the passages where this motif appears, examines the sources and presents some parallels in the Greek literary and iconographic tradition.
Alejandro Magno en Persépolis
Authors: San Jose Christian
Published: March 2022

En el presente trabajo se pretende analizar las acciones que acometió Alejandro Magno en Persépolis para, en última instancia, lograr realizar una interpretación de los acontecimientos y del incendio. La consecución de estos objetivos se realizará a través de la estratificación y análisis de todos los datos disponibles para el estudio de Alejandro en Persépolis; los antecedentes, los datos arqueológicos, las fuentes literarias y las corrientes interpretativas que mayor calado han tenido entre los historiadores.
Reseña: E. Carney, Eurydice and the Birth of the Macedonian Power, New York, Oxford University Press, 2019, 177 pp [ISBN 978-0-19-028053-6].
Authors: Molina Ignacio
Published: March 2022

Reseña de E. Carney, Eurydice and the Birth of the Macedonian Power, New York, Oxford University Press, 2019, 177 pp [ISBN 978-0-19-028053-6].
Battling without Beards: Synesius of Cyrene’s Calvitii encomium, Arrian’s Anabasis Alexandri and the Alexander discourse of the fourth century AD
Authors: Djurslev Christian
Published: March 2022

This paper explores the literary tradition of the curious chreia that Alexander ordered his men to shave off their beards before battle. The story is represented by various sources from the imperial period but most prominently in the Encomium of Baldness by Synesius of Cyrene. The latter source posits that the story comes from the History of Alexander by Ptolemy, son of Lagus, but this claim cannot be true when Synesius’ version is compared to other extant uses of the chreia. This paper exemplifies some of Synesius’ methods of working, arguing that we need to invest more energy in appreciating the wider tradition of Alexander in late antiquity to understand our earlier texts.
Philia Networks in the Macedonian Court and the Long Accession of Alexander the Great
Authors: Guthrie Julius
Published: March 2022

This paper revaluates key moments in the court politics of Alexander the Great’s reign through the introduction of philia-networks governed by gift-exchange as a template for explaining the relationships between key participants. This approach makes it clear that Alexander initially held a passive role in the political life of his own court and was dependant on others for his succession. These dynamics shifted in the opening years of the Asian expedition as Alexander sought to break these philia-networks, building his own and surrounding his person with philoi of his own choosing.