bluuebunny/crossref_metadata_2025 huggingface dataset:
Disability and Employment; Quota System and Infrastructure Analysis LDA Lahore as a Paradigm
Authors: Nawaz Minahil , Tahir Zaira , Hafeez Asra
Published: May 2022

Anin capacity is any condition of the body or mind that makes it more problematic for the individual with the state to do certain accomplishments and cooperate with the world around them.The main objectives of the study are to find the relationship between disability and employment,empower disabled people, provide them with better employment opportunities, make them financially stable and make them independent and incorporate the factors that make the building accessible and comfortable for the disabled. From the literature reviews which were of different ideologies and objectives, the result came is that there are different techniques by which the problems can be solved by involving sustainability, accessibility and adaptability in an infrastructure design. The sector of the LDA has been selected for the research analysis. The quotas for disabled people and the building infrastructure of LDA will be analyzed. For the research analysis, the different types of analysis will be performed on the data which are 3D analysis, Demographics Analysis, questionnaire and Correlation Analysis. The proposals which are given are based on the provision of parking, washrooms facilities,staircases, ramps, handrails, and office furniture and entrance gates.
The Economics of Race and Blame: News Frame Analysis of Cross- Border Economic Consequences by Indian and Pakistani Media
Authors: Hassan Abul , Hussain Tanveer , Farrukh Muhammad
Published: May 2022

India and Pakistan share a border that enables them for an economic collaboration to minimize their mutual conflicts which are there since their partition. This study aims at identifying those economic obstacles which hinder their mutual economic cooperation. It further examines the framing trends through which media from both countries showcase each other's economic issues in certain ways. News headlines and lead paragraphs from two English dailies each from India and Pakistan, were analyzed. "Economic consequences" frame was identified among the selected data of 4086 news stories. The findings revealed that both countries blame about unstable bilateral trades, loss in import and exports deals, underdeveloped national and international businesses and economic deficits on each other. CPEC, political instability and terrorism were framed as major blaming claims by each side. The study further recommends professional news coverage with productive framing of issues than biased and based on certain framing.
A Critical Analysis of Pop Culture and Media
Authors: Rafique Shanawer , Khan Mohsin Hassan , Bilal Hira
Published: May 2022

Studies have revealed that in the age of digital media, popular culture has emerged as a powerful phenomenon. With this in mind, this article critically examines how media is the key player in promoting and reinforcing popular culture. Further, it illuminates the cultural shift with urbanization and industrial progress. In this regard, available literature of the past twenty years has been critically reviewed. This piece of research confers different sources of popular culture such as movies, TV programs, online video gaming, politics, music, sports, advertisements, e-commerce, and mobile applications and describes the significant role of the media in popularizing and endorsing it. This study concludes that the media has played a significant role in cultural change and that the media and pop culture are inter-reliant. This study also suggests that popular culture has a significant influence and power that can be helpful for agenda setting and cultural diplomacy. Pop culture is dynamic and the media plays a crucial role in promoting popular culture.
Students' SES status and Test anxiety of the Undergraduate University Students
Authors: Shafiq Farah , Cheema Ahmad Bilal , Khan Saifullah
Published: May 2022

This paper was to study the relationship between socio economic status and test anxiety of undergraduate students. All the undergraduate students of all the departments of Sargodha University were the population. A sample pertaining 550 students were selected through multistage random including 181 male and 369 female students, selecting 50 students from 11 departments. Instruments were adapted socioeconomic status survey for students and Test Anxiety Scale (WTAS). After pilot testing both the instruments on 100 students, Cronbach Alpha value for WTAS was 0.79, and SACQ was 0.90. The study was descriptive and survey. Analysis of data was done through frequencies, means, percentages t-test, one-way ANOVA, and Pearson r. The majority of students showed a moderate level of SES as well text anxiety, female undergraduate students are of higher SES level and text anxiety than males, and no relationship between SES and test anxiety of the undergraduate students was found. A recommendation is that students may be exposed to group projects, seminars and guidance, and counseling sessions regarding test anxiety.
Impact of Servant Leadership and Organizational Culture on Work Engagement: An Empirical Analysis
Authors: Rehman Muhammad Zia-ur- , Shah Syeda Unzilla , Khokhar Arif Masih
Published: May 2022

The study's goal is to see how servant leadership and corporate culture affect work engagement. While leadership has been proven to have an impact, the effect and procedure underlying work engagement has attracted scant attention. Despite the fact that servant leadership followers are more inclined to be involved, this is especially relevant of servant leadership. We investigate the role organizational culture plays like a potential mediator in the study below, seeking to discover whether servant leadership builds organizational culture that, as a result, enhances work engagement. Overall,we find strong evidence suggesting servant leadership can forecast organizational culture along with the other extensions related to job engagement which include dedication, absorption and vigor, while organizational culture, undermines the effect of servant leadership style. Lastly,all three components of work engagement are positively related to an organization's culture.
Impact of Religious Tourism on the Development of Smokeless Industry in Pakistan
Authors: Ahmad Naila Masood , Sohail Ramsha , Ahmad Muhammad Masood
Published: May 2022

The purpose of this research paper is to examine the Impact of Religious Tourism on the development ‘smokeless industry’ that has the potential of igniting significant economic activity, thus creating employment,generating investment, and reducing poverty. The present study is descriptive in nature. Data were collected in view of facts reported in the secondary sources, including news items, national and international reports on tourism,books, journals as well as information gathered from interaction with the local people. The present study not only underscore the prospective implications of religious tourism in the country but also explores the challenges pervading the religious tourism sector in Pakistan. The findings of the present research paper indicate the below-par performance of concerned agencies was the main hindrance to promote tourism in Pakistan. Moreover, the key issues are non-development and maintenance of tourist spots, negative projection of security situation, visa restrictions, inadequate infrastructure, sub-standard transportation, and poor health services, which are badly affected religious tourism. This research paper will be assisted the policymakers in improving travel procedures and providing safety and security to the tourists in Pakistan.
A Comparative Analysis of Single Nation Curriculum with the Previous National Curriculum
Authors: Asghar Jabreel , Ahmad Asif
Published: May 2022

The current paper critically reviews the Single Nation Curriculum to verify the claims made by the document after its launching in 2020 as being the first policy document for educational reformation at the national level after several decades. The analysis compares the document with the National Curriculum (2006) which has been acknowledged as the main reference document in the preparation of the Single Nation Curriculum. The paper analyses various sections of the document, with a focus on English language teaching, to expose that the new curriculum is only an imitation of the previous 2006 curriculum without introducing any significant change in the policy, content, and methodology. The paper hopes to raise awareness among the policymakers and authors of SNC about establishing connections between research and practice, hence augmenting professional development with a focus on improved practices in the area of education and curriculum development.
El perfil demográfico y social de Pátzcuaro, Michoacán, en el año 1860
Authors:   Univerrsidad Michoacana de San Nicolás de Hidalgo, Talavera Ibarra Oziel
Published: May 2022

This article studies the population structure of Pátzcuaro, Michoacán, using a civil census of the year 1860 and the death certificates of the parish registry. This census provides age records, an uncommon item in this type of census in the nineteenth century. By projecting an age and sex group population pyramid, the identification of life spans provided insights into the social structure, as it revealed, in this case, a young population and work integration at an early age, as well as null work retirement. The sources studied here also make it possible to identify migratory phenomena and high infant mortality, as well as the effect of mortality crisis on the population.
La entrevista Díaz-Creelman en Bogotá, o la historia de un silencio
Authors:   Universidad Nacional Autónoma de México, Prieto Mejía J. Paola
Published: May 2022

The objective of this article is to analyze the conditions of publication and reception in Bogotá of the translation of the interview made in 1907 by the American journalist James Creelman to the President of Mexico Porfirio Díaz. I start by pointing out the characteristics and importance that document in the Mexican environment; and then explain the relationship between Presidents Rafael Reyes and Porfirio Díaz, a central aspect when it comes to understanding the early publication of the interview in Bogotá, only after it was done in Mexico City and New York. And, finally, I analyze the elements that explain the silence with which the interview in Colombia was received, by identifying the political uses that its publication intended to serve.
Notas para la historia de los deportes en Jalisco: el caso de la carrera de las Crucitas, 1971–2020
Authors:   Consejo Municipal del Deporte de San Pedro Tlaquepaque, Esparza Ontiveros Miguel
Published: May 2022

The objective of this study is to explain how the Crucitas race emerged and was stablished. To understand how this athletic event developed, I analyze the main patterns – built elements – that have somehow modified the social dynamics of this race. I, likewise, briefly explain how the social context – the situation – has changed in Jalisco in the last 50 years.
GENESIS OF THE CONCEPT OF DIPLOMACY
Authors:   Alfred Nobel University, Palieieva Yuliia S.
Published: May 2022

The article is devoted to the history of diplomacy that that dates back to antiquity. But today its role is the most important compared to previous years. The dynamic process of development of relations in the international arena brings to the fore the process of rethinking diplomacy in accordance with the conditions of rapid changes in modern times. It had been determined that a single definition of diplomacy has not yet been developed. Over the past century, scientists, thinkers, politicians, lawyers have sought to master the concepts of diplomacy. They tried to understand the nature of diplomacy. The existing definitions of diplomacy were analyzed in the article. Most believe that diplomacy is the activity of high-ranking officials in the implementation of foreign policy. Another view is that diplomacy is the art of negotiation. Consider a few examples. Diplomacy is the application of reason and tact to official relations between the governments of independent states. Besides, diplomacy is the science of foreign relations, the science of mutual interests of states, the science of relations between different states based on their mutual interests, the principle of international law and treaty obligations, the art of negotiation, the science of the art of representing and negotiating. Moreover, diplomacy is one of the most important means of implementing foreign policy. Diplomacy is the art of resolving international disputes by peaceful means. Also, diplomacy is the conduct of international relations through negotiations; the method by which these relations are regulated and maintained by ambassadors and envoys; the work or art of a diplomat. A qualitatively different definition is given by Western sources. Diplomacy is an established method of influencing the decisions and behavior of foreign governments and peoples through dialogue, negotiation and other measures than war or violence. Globalization and regionalization (localization) affect the international order and cooperation, contributing to these new developments in diplomacy. Diplomacy permeates relations at various levels from local to global. It had been determined, in recent years, approaches to defining diplomacy have changed. If earlier it was a question of diplomacy in the context of negotiations between the states and establishment of friendly relations with them. Also, diplomacy was used as a synonym for foreign policy. Today, its content has become much more complex. The point of view on the possible cessation of the phenomenon of professional diplomacy has been studied. The author provided a critical analysis of this position. The author has thoroughly proved that this does not apply to diplomacy at all. In the modern world, diplomacy is used not only in the external relations of states, but also in all spheres of public life, especially in business. Therefore, knowledge of the basics and nature of diplomacy is necessary and useful for successful negotiations, contacts and relations at all levels.
KEANEKARAGAMAN PETAI DI SUMATRA BAGIAN TENGAH
Authors: Zulhendra Zulhendra , Chikmawati Tatik , Hartana Alex
Published: May 2022

Petai tersebar di Indonesia termasuk di Sumatra bagian Tengah. Keanekaragaman petai di wilayah ini belum banyak diungkapkan. Penelitian ini mengamati keanekaragaman morfologi petai yang tersebar di Sumatra bagian Tengah. Sampel dikoleksi dari 9 lokasi di provinsi Sumatra Barat, Riau, dan Jambi. Sebanyak 29 aksesi tumbuhan petai (ZH1-29) diamati 38 ciri morfologinya, selanjutnya dilakukan analisis fenetik menggunakan metode Unweighted Pair group method with arithmetic average (UPGMA). Hasil penelitian menunjukkan Petai dari wilayah ini tersusun atas dua jenis yaitu Parkia singularis Miq. dan P. speciosa Hassk. Petai bervariasi pada 9 ciri penting yaitu bentuk ujung dan pangkal anak daun; panjang tangkai polong; bentuk dan ukuran polong; jumlah biji per polong, jarak antar biji, jarak biji ke tepi polong, dan ketebalan kulit. Analisis keserupaan  mengelompokan semua aksesi petai jenis P. speciosa  dan memisahkan dari jenis P. singularis.  P. speciosa dikelompokkan lebih lanjut sesuai dengan kultivar lokal yang dikenal masyarakat. Dua kultivar lokal memiliki ciri unggul yaitu Petai Papan dan Petai Papan1. Kunci dan deskripsi dari masing-masing nama lokal petai disediakan.
VARIASI MIKROMORFOLOGI SISIK PAKU DI KEBUN TEH KAMPUNG CITALAHAB, BOGOR, JAWA BARAT
Authors: Hayati Ibna , Maulana Lana , Irawan Afri , Aini Nurul , Tahnia Tira , Ratna Djuita Nina , Chikmawati Tatik , Sri Ariyanti Nunik
Published: May 2022

Paku merupakan tumbuhan vaskular penghasil spora yang terdiri atas akar, rimpang dan ental.  Bagian rimpang, stipe dan bagian muda dari helaian daun seringkali ditutupi oleh indumentum (sisik/rambut). Penelitian ini bertujuan untuk mengkarakterisasi mikromorfologi dari 18 jenis paku terpilih yang dijumpai di kawasan kebun teh Kampung Citalahab. Pengambilan sampel dilakukan dengan metode jelajah bebas. Karakter mikromorfologi diamati dan didokumentasikan menggunakan mikroskop. Hasil pengamatan disajikan dalam bentuk gambar dan dianalisis secara deskriptif. Hasil karakterisasi mikromorfologi menunjukkan variasi pada warna sisik dan bentuk sisik. Karakter mikromorfologi yang diamati dapat memperkaya bukti taksonomi setiap jenis paku.
KARAKTER MIKROMORFOLOGI DAUN FICUS SPP. REKAMAN BARU DI JAWA
Authors: Dewi Asih Perwita , Peniwidiyanti Peniwidiyanti , Surya Dwipa Irsyam Arifin , Rifqi Hariri Muhammad , Al Anshori Zakaria , Ratnasih Irwanto Rina
Published: May 2022

Penelitian ini bertujuan untuk melakukan karakterisasi mikromorfologi pada tiga jenis Ficus rekaman baru di pulau Jawa yaitu F. auriculata, F. maclellandii, dan F. natalensis subsp. leprieurii. Spesimen yang digunakan adalah spesimen koleksi basah asal Bogor, Bandung dan Madura. Preparat anatomi yang dibuat adalah preparat paradermal helaian daun, dan preparat transversal helaian dan tangkai daun. Karakter yang diamati adalah 28 karakter kualitatif dan 18 karakter kuantitatif. Beberapa karakter kualitatif sebagai pembeda jenis adalah tipe dinding antiklinal epidermis, tipe stomata, letak sel penjaga stomata terhadap epidermis, jumlah lapisan mesofil palisade dan kerapatan mesofil spons, tipe organ pelindung, struktur berkas pembuluh, persebaran sel tanin, sel litosis, dan kristal oksalat. Karakter kuantitatif pembeda jenis adalah ukuran stomata, indeks stomata, jumlah lapisan palisade, kolenkim dan parenkim. Adanya struktur dua lapis epidermis, lapisan kutikula tebal, dan proporsi mesofil lebih dari 50% pada F. maclellandii mengindikasikan sifat xeromorfik atau tahan terhadap cekaman kekeringan yang membutuhkan kajian fisiologis lebih lanjut.
ALIEN FLORA OF SUMATRA I: TEN NEW RECORDS
Authors: Mustaqim W.A. , Y. Persada Andri , P.E. Sari Herlina , A. Putri Kartika , R. Hariri Muhammad
Published: May 2022

The diversity of plants in Sumatra can be considered poorly known for the native species and the alien or non-native species. Recently, some new records of alien plant species have been added to the flora of Sumatra. Explorations were conducted to look for another undocumented alien plant species in this island in Langsa City, Aceh Province and Ogan Komering Ulu Regency, Sumatra Selatan Province. The results showed ten additional records of alien plants for Sumatra: Acalypha herzogiana (Euphorbiaceae), Coccinia grandis (Cucurbitaceae), Coleus monostachyus (Lamiaceae), Crossandra infundibuliformis (Acanthaceae), Ficus natalensis subsp. leprieurii (Moraceae), Melaleuca linariifolia (Myrtaceae), Ochna thomasiana (Ochnaceae), Ruellia simplex (Acanthaceae), Solanum diphyllum (Solanaceae), and Wrightia antidysenterica (Apocynaceae). Two of them (C. monostachyus and S. diphyllum) are already naturalized while others are in cultivation, or a few of them relicts of it. All species are listed, discussed, and provided with photographs to aid identification.
MORPHOLOGICAL VARIATION OF KEDONDONG (SPONDIAS DULCIS PARKINSON) IN CENTRAL PART OF SUMATRA
Authors: Hayati Ibna , Hartana Alex , Ratna Djuita Nina , Sri Ariyanti Nunik
Published: May 2022

Ibna Hayati, Alex Hartana, Nina Ratna Djuita & Nunik Sri Ariyanti. 2022. Morphological Variation of Kedondong  (Spondias dulcis Parkinson) in Central Part of  Sumatra. Floribunda 6(8): 315–323 — Kedondong (Spondias dulcis Parkinson), is widely cultivated in the tropics and reported possibly native plant from Malesia and Pacific. Since a long time several regions in Indonesia has been known as producing area. Around 60s, Sumatra has reputable kedondong from sabang which has sweet flavour and large size. However information on the morphological variation of kedondong germplasm is still limited. The objective of this study was to describe and grouped morphological variation of kedondong germplasm in central part of Sumatra. The specimens were explored and collected from Riau, West Sumatra, and Jambi. Fifty morphological characters were observed and scored for grouping analysis using UPGMA methods. Some characteristics of kedondong from central part of Sumatra are very varied. The kedondong specimens in the cluster analysis grouped into two main groups A and B based on the color of the mature fruit, but these characteristics may not qualify to be used as standard criteria for evaluating cultivated variety because within the group there are still variations in other characters, such as size and shape of the fruits. However based on fruit type, sweet kedondong tends to has oblong type.
Survey on Techniques and Image Modalities in Content Based Medical Image Retrieval
Authors: Rani Shetty  , Dr. Vandana S. Bhat  , Dr. Jagadeesh Pujari
Published: May 2022

The tremendous increase in medical images in the healthcare sector has given rise to the term CBMIR(Content-Based Medical Image Retrieval). CBMIR is said to ease the job of a physician in searching and retrieving similar images for a given query image. This helps in the detection and diagnosis of diseases in human body parts at the early stage. Due to the rapid increase in medical image databases searching and retrieving images similar to that of the query image from a huge database is a challenging task. A Survey on various CBMIR techniques that are used for retrieving biomedical images is given in this paper. This includes a literature survey of over more than 100 contributions to the field of content based medical image retrieval techniques. The major focus is on the techniques based on the representation of images visually in the medical field rather than annotated images.
Implementation of AI for Injector Quality Inspection
Authors: Tanvayee Dhawale  , Anushka Chougule  , Vaishnavi Ware
Published: May 2022

A fuel injector is an integral part of the fuel injection system. It is a device that actively injects fuel into an internal-combustion (IC) engine by directly forcing the liquid fuel into the combustion chamber at an appropriate point in the piston cycle. Quality inspection of an assembled injector includes checking the injector for dents, rust, cracks, O-ring coloring and cuts, correct assembly, filter screen fitment and damage and cup inspection to name a few. Until now the injector inspection has been performed visually by a human operator. Skilled as they may be , human errors are bound to happen. What may seem as a small and insignificant defect, may cause functioning issues for the engine in the future.
This project aims to convert the physical inspection into an automated inspection process seamlessly, to reduce the operator dependency and to ensure 100% quality, by implementing an autonomous and AI driven system with computer vision that will check the injector for aesthetic defects and will give the final injector OK/NOT OK decision, while also ensuring the correct assembly. Thus, transformation of business processes by implementing new digital technologies and automation will result in opportunities for efficiency and will increase revenue.
Quantum Multipartite correlation in Optical channel
Authors: H. R. Sumathi  , C. Vidya Raj
Published: May 2022

The communication in the quantum networks is based on optical channels to take the advantage of analog, optical and digital communication system. Single data which carries information over the channel can be termed as solid state atoms or photons. The reliable channel is the one which carries the same state from the sending node to destination there can be superposition of states. practically ideal channel does not exist, the optical Gaussian channel which is considered as a degradable quantum channel. The optical interfaces and standard signal format would allow interconnecting fiber optic transmission equipment through multiple networks which carries information generated by multiple users of the network. Taking the infrastructure of existing telecommunication use the quantum information so that it is secure by its nature.
Data Transmission in Wearable Sensor Network for Human Activity Monitoring using Embedded Classifier technique
Authors: Lithin Kumble  , Kiran Kumari Patil
Published: May 2022

The recent development of wireless wearable sensor networks has opened up a slew of new possibilities in industries as diverse as healthcare, medicine, activity monitoring, sports, safety, human-machine interface, and more. The battery-powered sensor nodes' longevity is critical to the technology's success. This research proposes a new strategy for increasing the lifetime of wearable sensor networks by eliminating redundant data transmissions. The proposed solution is based on embedded classifiers that allow sensor nodes to determine whether current sensor readings should be sent to the cluster head. A strategy was developed to train the classifiers, which takes into account the impact of data selection on the accuracy of a recognition system. This method was used to create a wearable sensor network prototype for human monitoring of activity Experiments were carried out in the real world to assess the novel method in terms of network lifetime, energy usage, and human activity recognition accuracy. The proposed strategy allows for a large increase in network lifetime while maintaining excellent activity detection accuracy, according to the results of the experimental evaluation. Experiments have also demonstrated that the technology has advantages over state-of-the-art data transmission reduction strategies.
The Impact of Customer Relationship Management on Business Performance : The Mediating Effect of Innovation Capability
Authors: Junior Oti-Frimpong  , Samuel Gyedu  , Francis Ntori
Published: May 2022

The motivation of this research is to assess the relationship existing between Customer Relationship Management (CRM) and Business Performance (BP) alongside the mediating effect of Innovation Capability (IC) as a crucial study in the telecommunication sector in Ghana. The proposed model was blueprinted based on relationship marketing theory, innovation theory, resource-based view theory and related literature of CRM as an independent variable, Business Performance as an independent variable and Innovation Capability as a mediating variable. Data was collected from 579 various departmental heads, branch managers and the permanent staff of six mobile communication companies in Ghana turned out to be analysed by the use of multiple linear regression analysis and Structural Equation Model (SEM). The analysis of the study was enacted by using STATA and AMOS statistical software package to excerpt the results. The results indicated a statistically positive and significant relationship among CRM, innovation capability and business performance. Also, it was found that innovation capability has a significantly positive and partially mediating effect on CRM constructs and business performance.
Sign Language Recognition
Authors: Nikhil Kulkarni  , Shivali Mate  , Atharva Kulkarni  , Shailaja Jadhav
Published: May 2022

There seems to be an issue between the communication of differently abled and others. That is why we have decided to make an application to mitigate this issue and reduce the dependencies on third parties like translators. We have studied different approaches taken and discussed them. Recognition of hand signs is a popular topic since the 90s and various findings have been uncovered in the following years. We have written about popular methods for this. For this application to work we have to weigh in feature extraction, object detection, and predictions using a machine learning model.
Resume Screening using Machine Learning and NLP: A proposed system
Authors: Bhushan Kinge  , Shrinivas Mandhare  , Pranali Chavan  , S. M. Chaware
Published: May 2022

The Indian Recruitment market has grown substantially over the last half-decade as the need for cheap labor grows and the number of job openings is increasing. And as the job market increases so does the recruitment industry which is a new way of hiring people by outsourcing the hiring process itself to other companies whose sole purpose is to give the correct talent required for the company. This is done because these companies are hiring in bulk and doing such a thing in-house will require a lot of company resources which will hamper productivity. As such companies emerge even for them manually going through all of the Resume of candidates is very time-consuming and tedious so these Talent Acquisition Companies use various Machine Learning models to filter out top resumes according to the job roles, which reduces the efforts for the Human Resource team
An appraisal of Information-Centric Networking Architecture for Content Retrieval over the Internet of things
Authors: Olufunmilola Adunni Ogunyolu  , Dr. Alao Olujimi
Published: May 2022

Information-Centric Networking has emerged, evolved over the last few years, and has grown out of Host centered architecture. Data transmitted does not rely on address, communication process, ICN is believed to enhance data transmission optimally. It however uses encryption of data transmitted making it not interested as to where it originated from. This paper entails the importance of ICN when compared with IP-based networks describing how data is transmitted over the network, issues encountered by ICN, its improvement over the years, and its relevance over the Internet of Things. It finally suggests the advantage of ICN based on its efficiency, safety, and reliability over a Host-based network which is the traditional means of transmitting data.
An Intensive Review on The Symptoms and Advancements In Diagnosis System Of Parkinson Disorder (PD)
Authors: Anisha. C. D.  , Dr. Arulanand. N
Published: May 2022

Parkinson Disease (PD) is a neurodegenerative disorder, progressive in nature which has no cure. The delay of PD progression is possible by incorporation of early diagnosis system. Early diagnosis can be made effective and accurate by the usage of Artificial Intelligence (AI) techniques. AI is prevalent in almost all the fields due to its intuitiveness and accuracy which covers the small applications in education sectors to the large applications in healthcare diagnosis system. This paper aims to provide an intensive review in the advancements of PD diagnosis by providing taxonomy, classification of PD diagnosis system and mapping the symptoms with its modalities. This paper also focuses on presenting the advancements of PD Clinical Decision Support System (CDSS) along with telemonitoring and telediagnosis in chronological order. A generic framework is presented for early PD diagnosis with the state-of-the-art technique. The paper is concluded with challenges and future prospects in the field of early diagnosis of PD.
A Comparative Study of Routing Protocols for Minimum Path Cost Matric in MANETS
Authors: Shamimul Qamar  , Mohammed Inamur Rahman  , Abdulilah G.F Saif  , Abdul Azeem
Published: May 2022

The Routing is the process of transmitting data packets from one node to another another node from source to destination The Mobile Adhoc Networks (MANETs ) doesn't have any fixed network structure or any centralized process to administer. The selection of the route is important for performance of packet transfer from source to destination. These routing protocol are classified as inter domain routing and Intra domain routing protocol. The routing protocols have been classified into Non Reactive , Reactive and Hybrid protocols. In the present paper we proposes to compare reactive routing protocols videlicet Ad hoc On Demand Distance Vector (AODV), Dynamic Source Routing (DSR) protocols, Temporarily Ordered Routing Algorithm (TORA) and Associativity Grounded Routing (ABR) protocol.The Routing in MANETs is a one of the robustly and demanding task and has entered a great quantum of mindfulness from experimenters around the globe. To overcome this problem, a colorful number of routing classes have been introduced and the number is still rising day by day fastly. It's relatively hard to decide which protocols or routing classes may do well under an quantum of different network scripts similar as network volume and network topology etc. The study and performance of the above mentioned protocol has also been tabulated in the present two tables . The protocols are based on minimum power and temporary configuration of topology. The table 1 gives comparison of the main characteristics of routing protocols and Table2. provide comparison of various reactive routing protocol.
Medical Image Fusion Multi Model Based on Quaternion Wavelet Transform
Authors: V. Supraja  , K. Swetha  , E. Haritha  , K. Sumalatha  , G. Chandrika
Published: May 2022

Medical image fusion can combine multi-modal images into an integrated higher-quality image, which can provide more comprehensive and accurate pathological information than individual image does. Traditional transform domain-based image fusion methods usually ignore the dependencies between coefficients and may lead to the inaccurate representation of source image. To improve the quality of fused image, a medical image fusion method based on the dependencies of quaternion wavelet transform coefficients is proposed. First, the source images are decomposed into low-frequency component and high-frequency component by quaternion wavelet transform. Then, a clarity evaluation index based on quaternion wavelet transform amplitude and phase is constructed and a contextual activity measure is designed. These measures are utilized to fuse the high-frequency coefficients and the choose-max fusion rule is applied to the lowfrequency components. Finally, the fused image can be obtained by inverse quaternion wavelet transform. The experimental results on some brain multi-modal medical images demonstrate that the proposed method has achieved advanced fusion result.
LIME : Low-Light Image Enhancement via Illumination Map Estimation
Authors: V. Supraja  , S. Namira Tabassum  , Shaik Afsana  , Y. Ruchitha  , Sai Charanya
Published: May 2022

Digital images play an important role both in daily life applications such as satellite television, magnetic resonance imaging, as well as in areas of research and technology such as geographical information systems and astronomy. Whenever an image is converted from one form to other such as digitizing the image some form of degradation occurs at output. Improvement in quality of these degraded images can be achieved by using application of enhancement techniques. The main purpose of image enhancement is to bring out details that are hidden in an image, or to increase the contrast in a low contrast image, by changing the pixel intensity of the input image. Enhancing the quality of low light Images is a critical problem. To overcome this problem efficient method introduced that is Low Light Image Enhancement Previously different algorithms used to enhance the quality of low light Images Among that one algorithm is multimedia algorithm .Through this algorithm we can process on only gray scale Images and the quality of Image is not properly enhance to that extent .The main drawback is that the quality of the image gets reduced because the processing can be done by considering the single pixel.
Role of Artificial Intelligence in Computer Science
Authors: Kunal  , Muskan Rana
Published: May 2022

This is done by exhibiting both the prehistoric remains and the castle itself through many forms of technological support, including multimedia interactive applications and artificial intelligence functions alongside computerized simulations. a growing body of researchers from the social and computer sciences are using computational experimentation in a highly exploratory way. the work done in this area is less "simulation" and more "construction". by analogy with artificial intelligence and artificial life, this synthetic approach has become known as artificial societies. it is argued that artificial societies can aid memetic theory-building ultimately producing theories and hypotheses that can be tested in the real world. current work (hales 1998c) involving construction and experimentation with an artificial society in order to aid the building of meme theory around the processes of stereotyping and group formation is outlined. advances in systems logic, artificial intelligence, and informatics are impacting the way we "formulate" reality. indeed, info-tech is invading every aspect of our public-professional and individual-private lives - from manual arts and labor-intensive production to creative mental work and abstract thought articulation. one of the objectives of artificial intelligence has been the modeling of "human" characteristics, such as emotions, behavior conscience, etc. but in such characteristics, we might find a certain degree of contradiction. previous work on modeling emotions and their problems is reviewed. a model for emotions is proposed using multidimensional logic, which handles the degree of contradiction that emotions might have. the model is oriented to simulate emotions in artificial societies. the proposed solution is also generalized for actions that might overcome contradiction (conflictive goals in agents, for example.)
The Role of Government in Management of Coastal and Small Islands in Muna District, Indonesia
Authors: La Ode Restele  , La Ode Sahaba  , La Ode Muh Munadi
Published: May 2022

The study aims to identify the role of the government in the management of coastal areas and small islands in Muna Regency to be carried out in 2021. The study uses a survey method using secondary data related to coastal area management. Thus, the condition of the management of coastal areas and small islands is described, including policies, structuring of coastal areas, and the functions of supervision and law enforcement. Collecting data using a controlled observation method by looking at the phenomena that occur and closed interviews whose implementation uses a questionnaire guide following the variables and objectives to be obtained from the respondents. The results showed that the government's involvement in the management of the Coastal Area of Muna Regency was quite high, both in the preparation of coastal area management plans, implementing program plans, carrying out supervisory and law enforcement functions, monitoring coastal resources, and evaluating management programs.
Driver Alertness Identification And Alarming System Using Haar Cascade Algorithm
Authors: R. Vadivel  , S. A. Kamran Kashif  , Syed Sajaad Ali  , Aashu Ali  , Masood Baig
Published: May 2022

Motorist fatigue has been one of the top causes of automobile accidents throughout the world in recent years. The state of the driver, i.e. drowsiness, is a simple way of determining driver fatigue. It is vital to recognise the driver's tiredness in order to protect lives and property. The purpose of this project is to construct a prototype of a drowsiness detection system. This is a real-time system that continuously captures photos and analyses the eye's condition using the approach described, as well as delivering warnings as required. Although various methods for assessing fatigue exist, this technique is fully non-intrusive and so has no effect on the driver, revealing the driver's genuine state. The retina's per-closing value is utilised to detect whether or not a person is tired. When a driver's eyelids close more than a particular amount, he or she is deemed drowsy. This system is made up of numerous OpenCv libraries, the most important of which being Haar-cascade. Furthermore, to improve the driver's security, as well as to check if the driver is adhering to the "do not drunk and drive" rule. Before the automobile starts, the amount of alcohol is detected, and if the driver is determined to be drunk, the automobile will not start. This keeps the driver out of trouble while simultaneously keeping him safe.
A Survey on Automatic Essay Evaluation System using Machine Learning
Authors: Nidhi Patel  , Prof. Pradeep Gamit
Published: May 2022

Manually assessment of descriptive answers in exam and assessment of an Essay requires more time and effort. In this era of E-Learning the Automated System for essay assessment is need of the time. There are many researches has been performed for this domain. In this paper we have reviewed some of the work related to this. Most of research uses Semantic Similarity Score and Sentimental Analysis for this purpose. Mostly NLTK and POS (Part of the Speech) is used. Various traditional algorithm of Machine Learning like SVM, Naïve Bayes, Random Forest etc. are used for performance classification. They have used measurement parameters in terms of KAPPA Statistics (QWK). We have also summarized methods related to Essay Evaluations with pros and cons in this paper. Feature selection methods and NLP attributes are also discussed.
A Survey On Price Prediction Model for Airbnb listing using Machine Learning
Authors: Prajapati Pradip  , Prof. Monali Suthar
Published: May 2022

People who rent their homes through Airbnb find it hard to figure out how much they should charge for them. They have to figure out how many people they can put in each home. Other than that, customers have to figure out the price of a home or apartment based on what they know about that home or apartment and what it has to offer them. A price prediction model is used with machine learning algorithms to add value for both the customer and the person who owns it in this study. To figure out the right price, I'll look at different features of the rentals and the traits of the owner. To make better predictions, I will also look at the reviews of different customers. To do this, I will use a lot of different techniques, like linear regression, tree-based models and the SVM technique.
Analysis of Machine Learning Algorithm to predict Wine Quality.
Authors: Nitin Khilari  , Pravin Hadawale  , Hasan Shaikh  , Sachin Kolase
Published: May 2022

Product quality certification is used by industries
to sell or advertise their products. The quality of wine is
assessed by a human specialist, which is a time-consuming
process that makes it quite expensive. Several machine
learning techniques have already been applied to evaluate
wine qualities such as quality and class on wine quality
datasets. The quality of wine is determined not only by the
amount of alcohol in it, but also by many traits, which change
through time and therefore refine the wine's quality. It is
critical to establish the wine's quality and categorise it into
several categories based on a quality assessment. This study
employs a variety of machine learning algorithms to predict
wine quality. This research gives a comparison of fundamental
and technical analysis based on many characteristics. This
research compares and contrasts several prediction
algorithms used to predict wine quality. Technical analysis
such as time series analysis and machine learning algorithms
like Logistic Regression, Decision Tree, Random Forest,
Support Vector Machine, Ada Boost Classifier, and Gradient
Boosting Classifier are examples of these methodologies. With
the use of visualisation, several techniques are evaluated based
on methodologies, datasets, and efficiency.
Personal Car Pooling Using Machine Learning
Authors: Prof. Seema Shivapur  , Uchit Chakma  , Sahil Kumar Jamwal  , Vittala P
Published: May 2022

The ever-increasing growth of cities has implied longer commuting distances (travel times) for their population and traffic congestion problems affecting public transport systems. These factors motivate the use of private vehicles causing an increase on traffic, longer idle times, reduced vehicle capacity utilization, higher mobility costs and a significant increase on vehicle emissions, one of today’s major environmental concerns. By having more people using one vehicle, carpooling reduces each person's travel costs such as fuel costs, tolls and the stress of driving. The datasets are processed using Dijkstra algorithm, KNN algorithm.
Weather Forecasting using Hybrid Model
Authors: Anshul Shah  , Sagar Patel
Published: May 2022

Joining two models help us to get some patterns that would be unreachable to one of both models without the support of another model and this provides good results in time series forecasting. Hybrid models combine the two types of strength of each model. In the Hybrid model an attitude that combines different types of deep neural networks with expectations attitude to model unpredictability. This research presents an execution analysis of hybrid deep learning models and machine learning models compared to autonomous DL models and ML models on various text categorization tasks. The search suggests that hybrid DL and ML models can nicely grab syntactic manifestation of text, extract multiple feature maps, and give better text classification results. The research also shows a better cognition of different hybrid models in the field of text variety.
Applications of DNA bases, Graphene and Biosensors : A Critical Review
Authors: Shamsan Ali  , Baliram G. Lone
Published: May 2022

The current research paper presents a theoretical exploration of the interaction between 2-D nanomaterials and the DNA bases that embody graphene properties and biosensors applications. Regarding its role as a conveyer of genetic information, Deoxyribonucleic acid (DNA) has been understood as a constructed substance for various components and structural collations with nanoparticle merits. It is counted as the bearer of genetic information in the human being's life, where it is a fundamental biomacromolecule in almost all living apparatuses. Because of DNA's self-recognition characteristics (based on the specific base pairing of G-C and T-A), more attention has been drawn to monolayer films of nucleic acids. It is seen that many doping techniques have been carefully investigated. Thus, this survey article provides a new and comprehensive outline of the modern strategies that include specifically immobilized DNA on Graphene. further, it is expected in the near future that there will be a designee of DNA nanodevices that are distinguished in smartness, accuracy, and sensitivity where they will contribute to the fields of biological analysis, clinical diagnosis, and biomedicine
Design and Analysis of High Endurance Fixed Wing Multirotor UAV
Authors: Dr. Balaji B  , Dr. Abhishek M R  , Arun V
Published: May 2022

Current work emphasis on research, design and development of a fixed wing multirotor Unmanned Ariel Vehicle (UAV) which operate under V - TOL configuration. In this investigation an effort is made to develop a high endurance and high payload capacity UAV which can have a payload capacity of 15 Kg and which can serve with the endurance of 2 hrs per cycle.
A method to Improve the Stability of Scissor Lifting Platform by using Finite Element Analysis
Authors: HyonUng Choe  , YongRok Kwon  , JuGang Jo  , KangSong Ri  , HyonUng Jang  , Tao Xing
Published: May 2022

Scissor lifting mechanism is widely used in various industries due to its excellent features such as simple structure and easy manufacturing. Through many observations and studies, it is found that half of the worktable (the top plate) is normally not supported and cannot withstand heavy loads when the scissor lifting mechanism is in the highest position. It is raised as an important problem in other facilities using this machine. Therefore, in this paper, one method was proposed to improve the stability of the scissor lifting mechanism. First, by analyzing the position at which the deformation is maximized, a hydraulic cylinder was mounted there to increase the stability of the scissor lift. A hydraulic cylinder was designed based on these physical quantities, the analysis of the position and stress. Next, to analyze the effect of the hydraulic cylinder support on the worktable deformation, ABAQUS program was used to analyze and compare the deformation between the worktable with and without cylinder. As the result of the analysis, after mounting the hydraulic cylinder, the deformation of the worktable decreased by 94.4% and the stability of the scissor lifting mechanism was further improved.