bluuebunny/crossref_metadata_2025 huggingface dataset:
Automatic Personality Identification using Machine Learning
Authors: Das Aditi
Published: June 2021

Machine Learning has made significant changes in the world making our life more easier and comfortable .One of the most exciting applications is the prediction of Personality automatically using different algorithms. Personality computing and emotive computing, where the popularity of temperament traits is important, have gained increasing interest and a spotlight in several analysis areas recently. These applications can powerfully predict the personality of a Person. The aim of this paper is to use a more rigorous construct Validation system to extend the potential of machine learning approaches to personality assessment. We have reviewed multiple recent applications of Machine Learning to recognize personality, thus providing a broader context of fundamental principles of constructing, validating, and then providing recommendations on how to use Machine Learning to advance the level of our understanding and applying our learnings to develop advanced personality recognition applications. araphrased Text Output text rewrite / rewrite We use deep neural network learning to recognize characteristics independently and, through feature-level fusion of these networks, we obtain final predictions of obvious personalities. We use a previously trained long-term and short-term memory network to integrate time information. We train large-scale models comprised of specific subnetworks- modalities through a two-stage training process. We first train the subnets separately for and then use these trained networks to fit the overall model. We used the ChaLearn First Impressions V2 challenge dataset to evaluate the proposed method. Our method achieves the most effective overall "medium precision" score, with an average score of for 5 personality characteristics, which is compared to the state-of-the-art method.
Designing Image Based Captcha using Machine Learning
Authors: Sable Piyush
Published: June 2021

Captchas, or Completely Automated Public Turing Tests to Tell Computers and Humans Apart, were created in response to programmers' ability to breach computer networks via computer attack programmes and bots. Because of its ease of development and use, the Text Captcha is the most well-known Captcha scheme. Hackers and programmers, on the other hand, have weakened the assumed security of Captchas, leaving websites vulnerable to assault. Text Captchas are still widely used since it is assumed that the attack speeds are moderate, typically two to five seconds for each image, and that this is not considered a significant concern. Style Area Captcha (SACaptcha) is a revolutionary image-based Captcha suggested in this paper, which relies on semantic data comprehension, pixel-level segmentation, and deep learning approaches. The suggested SACaptcha highlights the creation of image-based Captchas utilising deep learning techniques for boosting the security purpose, demonstrating that text Captchas are no longer secure.
Smart Attendance Management System using Face Recognition
Authors: . Nitin
Published: June 2021

Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention. In human interactions, the face is the most important factor as it contains important information about a person or individual. All humans have the ability to recognise individuals from their faces. Now following system is based on face recognition to maintain the attendance record of students. The daily attendance of students is recorded subject wise which is stored already by the administrator. As the time for corresponding subject arrives the system automatically starts taking snaps and then apply face detection and recognition technique to the given image and the recognize students are marked as present and their attendance update with corresponding time and subject id. We have used deep learning techniques to develop this system, histogram of oriented gradient method is used to detect faces in images and deep learning method is used to compute and compare facial feature of students to recognize them.
GPS and RFID Based Intelligent Bus Tracking System
Authors: Dhage Prajakta
Published: June 2021

RFID is an innovation like that of scanner tag checking. A RFID framework comprises of labels, which utilize radio recurrence signs to communicate its area data to a pursuer, which generally sends this data to a worker that measures it as indicated by the requirements of the application. This paper presents a framework that can follow transports across a city by putting RFID labels in the transports and the pursuers in each elective bus station. The neighborhood worker for the city gets the area data, and cautions the impending bus stations during the transport, of the transport's number, course, and anticipated season of appearance, which are then shown at the stop. This framework accordingly depicts is a financially savvy and simple to carry out plot for following transports continuously.
Digital Solution for Combat Bribery and Justice Restoration System - Android Application
Authors: Sairam A. Vamsi
Published: June 2021

: The purpose of this project application named “BRIBERY VISION” is a step towards Anti-corruption and to make aware a citizen to complaint against any combat bribery issue faced. This android application based solution contains a feature to make a complaint against corruption. It has FIREBASE OTP authentication facility to authenticate the end user. On successful authentication, complaints can be taken and recorded on database(MYSQL),an unique complaint id is given for future references for complaint, if any multimedia proofs which are required to submit as proofs can be uploaded on the displaying intent, to store these FIREBASE STORAGE facility is used. At the same time administration department also had an application in which same technology stack is implemented and whole design is done through ANDROID STUDIO.
College Management System
Authors: M V Kishore
Published: June 2021

This paper is aimed at developing an Online Application for students and college management. The main theme of the project is to develop an application that enables the students to perform the activities like fee payment, downloading learning materials, and get notifications about the attendance, results, etc; in a mobile application, It provides a simple interface for the maintenance of the student records. In the previous system, all the details have to view in a file or on a website. At the same time while searching for information it takes a long time to get the results. To overcome this an Android Application can be used to make this process much better. All the important data such as passwords are securely stored with the help of hashing techniques. The users of this application are students, Faculty, and Admin. The Faculty can log in to the application and can update the Attendance and Marks of the student. In case of any events or exams in the college, the students will be notified by Admin. As we are college students we know about these problems that we are facing due to the lack of this kind of application. So we thought of extending and solving some of the problems in our project so that it could be more useful for the students and they can easily use the application which is also very compatible for the teachers and students. The data relating to students is stored in Firebase. A web-based portal is designed for the faculty to upload the marks, results, and upload materials.
Advanced Smart Cart with Security Features
Authors: Mounika Polavarapu
Published: June 2021

Nowadays, shopping at huge malls is a daily activity in the cities. We can observe large lines at shoppings malls on holidays and weekends. The rush is even more during the festival time, since there will be many offers which attract the people. After completion of shopping, a person must go to the cashier for the billing process. The cashier prepares the bill using the bar code reader that could consume a lot of time and leads to long queues at the counters. Smart Cart helps us to overcome this issue. It uses RFID reader and tags for scanning the products and sends a payment link to the customer’s mobile. With the help of this cart, the customer can directly pay the bill with the received payment link and leave the shop with the products he/she has bought after payment verification. This smart cart removes the traditional way of scanning the products by the barcode scanners at the bill counters. And can directly pay the bill without waiting in the queue. With this system the customer can observe the total amount on the LCD screen after adding every item. By seeing the prices he can shop accordingly with the available amount. Since the complete process is done by the machine there will not be any errors. By this smart cart, there will be high security, speed and even the cost is low.It can also replace human labour.
A Novel Machine Learning based Hybrid Model for Webshell Detection
Authors: J Dr. Chandrika
Published: June 2021

Webshell attack has become a greater cause of concern while major episodes are shifting online. Today different forms of webshell attacks and attack inducing tools are available to hamper the security of computer systems. These attacks strongly escalate the requisite for Machine Learning based detection. In this work, we are going to obtain behavioral-pattern that may be achieved through static or dynamic analysis, afterward we can apply dissimilar ML techniques to identify whether it's web shell or not. Behavioral based Detection methods will be discussed to take advantage from ML algorithms so as to frame social-based web shell recognition and classification model.
Automation in Public Library: A Modern Approach during Covid-19
Authors: Singh Arpit
Published: June 2021

Automation is the creation and utilization of advances to deliver a lot labor and products with insignificant human intercession Radio recurrence distinguishing proof (RFID) is a method for recognizing objects by questioning a one-of-a-kind trait of the article, (for example, an interesting distinguishing number put away on a silicon chip joined to the item) utilizing radio waves. This innovation guarantees significant degrees more noteworthy proficiency and exactness than were conceivable past advances, which assists with computerizing business measures and permits distinguishing proof of gigantic number of labeled articles like books, utilizing radio waves. This paper proposes Automation in Public Library which permits quick exchange stream and can make it simple to deal with the trouble and return of books from the library absent a lot of mediation of manual accounting which benefits by adding properties of detectability and security. The proposed framework is completely contactless technique and have been planned thinking about Coronavirus.
Effect of Nano Silica on Mechanical Properties of High Strength Concrete of M60 Grade
Authors: Sravanti Chitturi
Published: June 2021

In the present study High Strength Concrete of M60 grade was designed by using Cement, Fly ash, Fine Aggregate, Coarse Aggregate, Water and Super Plasticizer following IS 10262-2009 and IS 456-2000. In the above mix cement was replaced partially with Nano Silica by varying percentages by weight (1%, 2%, 3% and 4%) and the effect of nano silica on the strength behaviour was studies. The Compressive, Flexural and Tensile strengths of the concrete were determined at 7, 14, 28 and 56 days and the results were compared.
Solar Operated Automatic Grass Cutting Machine
Authors: Shinde Shubham D
Published: June 2021

The grass cutting machine are very popular technology. A. The past technology models of grass cutter are used I.C engine and also used scissor for grass cutting. B. As the past technology of grass cutting machine was operated by manually, hence man power required is more. Also the time fuel required for accomplishing the work is more. C. To overcome such problems we used the solar power for drive the motors. And for reduce the manpower we control it by mobile and sensor. D. This proper purpose of solar operated automatic grass cutting machine is it will avoid the air and noise pollution and higher maintenance by the I.C engine.
Integrated Overview of the Memory System
Authors: Sharma Ishanee Das
Published: June 2021

This review aims to clarify and classify memory from psychological and neuroscientific point of view, delving into the molecular mechanisms taking place as well. The main forms of memory are sensory memory, short term memory and long-term memory. We also try to specify the flow of information through various memory models. The concept of synaptic plasticity and long-term potentiation is highlighted, with special focus on the physiological parts of the brain that are involved in memory storage. Overall, this study will help expand our knowledge on the intrinsic details of memory storage and the functioning of our brain.
Home Automation Controlled through Wifi-Module and Blynk App
Authors: Niharika M.
Published: June 2021

This Home Automation System is based on the ESP8266 wifi module. With the help of this project the electrical loads can be controlled using your android cell phone. For this project we have to connect ESP8266 Wi-fi module and cell phone with the same WIFI network. This project can be used at homes, offices, colleges, universities, and so on. For the Worldwide control system, we can use the Nodemcu ESP8266 Wifi Module. This system is very convenient and economical to use. Major components used in it are: esp8266 wifi modulerelays. With this internet of things we can control four home appliances from the Blynk app, we can also use manual switches to control the appliances with or without internet and we can also monitor real-time feedback. So this is very useful to make our devices smart .In this project we have used four channel relay. In this project we have controlled AC appliances like Lights etc. In this project we used IFTTT with the help of ifttt we can connect all of our apps and devices.
Sixth Sense Technology with Optical Character Recognition
Authors: Tiwari Niharika
Published: June 2021

Sixth Sense Technology is an innovative technology that will be further developed in the future and will be used for the benefit of human kind. It depends on the ideas of augmented reality and has all around carried out the view of it. The thing that makes it special is the way all the technologies are combined together to get a beneficial output. It partners advances like hand motion acknowledgment, picture catching, preparing, and control, and so forth OCR is to achieve change or change of a book or text-containing documents, for instance, deciphered substance, printed or sifted text pictures, into an editable electronic plan for more significant and further planning. Along these lines, our Goal is to carry part of the actual world to computerized world. Hand Gesture Recognition is in great demand today and can be executed with sixth sense technology.
Road Sign Recognition and Lane Detection using CNN with OpenCV
Authors: Panchal Omkar
Published: June 2021

As a result of road traffic crashes, approximately 1.35 million people die each year, and between 40 to 70 million are injured drastically. Most of these accidents occurs because of to lack of response time to instant traffic events. To develop such recognition and detection system in autonomous cars, it is important to monitor and guide driver through real time traffic events. This involves Road sign recognition and road lane detection. In order to make the driving process safer and efficient, a plan is made to design a driver-assistance system with road sign recognition and lane detection features. In this system we have focused on two important aspects, Road sign recognition and lane detection. The process of road sign recognition in a video can be broken into two main areas for research; detection and classification using convolutional neural networks. Road signs will be detected by analysing colour information, which can be red and blue, contained on the images whereas, in classification phase the signs are classified according to their shapes and characteristics. Along with road sign recognition we also focused on Road Lane detection which is one significant method in the visualization-based driver support structure and capable to be used for vehicle guiding and monitoring, road congestion avoidance, crash avoidance.
Prosthetic Arm using Force Sensor
Authors: Shaikh Talha
Published: June 2021

An Upper limb amputation causes a severe reduction in lifestyle of the affected individual due to inability to perform activities of daily lifestyle. This is a devastating occurrence that limits human activity which can result into physical or mental trauma. In order to provide assistance to the amputee, use of prosthetic devices is becoming more popular. Prosthetic devices can be mechanical or electromechanical devices that mimic the ordinary movement of human parts. In this research work, to mimic the function of the human arm for disabled people and stroke patients, a portable lightweight device which offers automatic, integrated easy to use bionic arm is designed and implemented. By using the concepts of Mechatronics and Robotics in this project aims for a functional prosthetic affordable to everyone.
Autonomous Driving using CNN
Authors: V S Amar
Published: June 2021

Human beings are currently addicted to automation and robotics technologies. The state-of-the-art in deep learning technologies and AI is the subject of this autonomous driving. Driving with automated driving systems promises to be safe, enjoyable, and efficient.. It is preferable to train in a virtual environment first and then move to a real-world one. Its goal is to enable a vehicle to recognise its surroundings and navigate without the need for human intervention. The raw pixels from a single front-facing camera were directly transferred to driving commands using a convolution neural network (CNN). This end-to-end strategy proved to be remarkably effective, The system automatically learns internal representations of the essential processing stages such as detecting useful road components using only the human steering angle as the training signal. We never expressly taught it to recognise the contour of roadways, for example. In comparison to explicit issue decomposition, such as lane marking detection, Our end-to-end solution optimises all processing processes at the same time, including path planning and control. We believe that this will lead to improved performance and smaller systems in the long run. Internal components will self-optimize to maximise overall system performance, resulting in improved performance.
A Novel Method to Improve Performance of Diffusive Molecular Communication Systems with On-Off Keying Modulation
Authors: Pooja M.
Published: June 2021

The Bit Error Rate (BER) of the diffusive molecular communication (DMC) systems employing on-off keying (OOK) modulation. We also analyze the BER of the OOK-modulated DMC systems with inter- symbol interference cancellation (ISIC). Our main motivation is to introduce alternative tools for analyzing and efficiently computing the BER of the DMC systems without or with ISIC. Specifically, for the OOK-modulated DMC systems without ISIC, we first derive an exact BER expression based on the Poisson modeling of DMC systems. Then, the Gaussian- and Gamma-approximation approaches are introduced to approximate the discrete Poisson distribution, and based on the approximation approaches, the corresponding BER expressions are derived.
Low Light Image Enhancement using Convolutional Neural Network
Authors: Vishnu Choundur
Published: June 2021

Great quality images and pictures are remarkable for some perceptions. Nonetheless, not each and every images are in acceptable features and quality as they are capture in non-identical light atmosphere. At the point when an image is capture in a low light state the pixel esteems are in a low-esteem range, which will cause image quality to decrease evidently. Since the entire image shows up dull, it's difficult to recognize items or surfaces clearly. Thus, it is vital to improve the nature of low-light images. Low light image enhancement is required in numerous PC vision undertakings for object location and scene understanding. In some cases there is a condition when image caught in low light consistently experience the ill effects of low difference and splendor which builds the trouble of resulting undeniable level undertaking in incredible degree. Low light image improvement utilizing convolutional neural network framework accepts dull or dark images as information and creates brilliant images as a yield without upsetting the substance of the image. So understanding the scene caught through image becomes simpler task.
Risk Management in Road Construction Projects using Fuzzy Logic
Authors: Kumar Mahendra
Published: June 2021

This research presents a complete framework for managing risks in road construction projects using Fuzzy-Risk Failure mode & Effect Analysis (F-RFMEA) system. In this research risk management is done through undergoing five major steps: 1. Identification of risk factors through literature review and discussion with highway construction expert’s result in 61 risk factors are identified, which are categorized in 12 groups 2. Assessment of risk factors in terms of its occurrence, consequences on cost, time & quality and detectability through questionnaire survey. 3. Ranking of risk factors based on Risk Priority Number (RPN, function of occurrence, consequence and detectability of risk) using Fuzzy-MATLAB 4. Risk Allocation i.e. to whom risk should be allocated 5.Treating the risks by designing risk response strategies.
Car Parking Space Detection using Digital Image Processing
Authors: Deshpande Amogh
Published: June 2021

: Nowadays, people are facing problems finding parking spaces available in a parking lot because of the massive rise in the occupancy of cars and the increase in urbanization. We have embedded techniques of image processing in each phase of the method. It will benefit all drivers entering a parking lot from the information given by the system about the location of parking spaces available and the number of vacant parking spaces.
An Experimental Investigation of Expansive Soil Treated with Glass powder and Granite Dust
Authors: Soni Mayank
Published: June 2021

In urban areas, borrow earth is not easily available which has to be hauled from a long distance. Quite often, large areas are covered with highly plastic and expansive soil, which is not suitable for such purpose. This study involves the collection of clay sample and evaluation of its properties in natural state and after stabilization with Granite dust and Glass powder. In the first set of experimental work the BC soil is mixed with Glass powder in different proportion i.e. 2%,4%,6%,8% and 10% and the optimum quantity of Glass powder is determined. The optimum quantity of Glass powder is found as 8% of the dry weight of clay. In the second set of experimental work the BC soil is stabilized by Glass powder and Granite dust in combination. Granite dust used 10-20 % of the dry weight of clay with Glass powder additives. From the experimental study it can be concluded that the stabilization of BC soil with Granite dust and Glass powder is more effective as compared to the stabilization with Glass powder only.
Calibration-Based Estimators using Different Distance Measures under Two Auxiliary Variables: A Comparative Study
Authors: Rai Piyush Kant , Singh Alka , Qasim Muhammad
Published: June 2021

This article introduces calibration estimators under different distance measures based on two auxiliary variables in stratified sampling. The theory of the calibration estimator is presented. The calibrated weights based on different distance functions are also derived. A simulation study has been carried out to judge the performance of the proposed estimators based on the minimum relative root mean squared error criterion. A real-life data set is also used to confirm the supremacy of the proposed method.
Pareto Distribution under Hybrid Censoring: Some Estimation
Authors: Prakash Gyan
Published: June 2021

In the present study, the Pareto model is considered as the model from which observations are to be estimated using a Bayesian approach. Properties of the Bayes estimators for the unknown parameters have studied by using different asymmetric loss functions on hybrid censoring pattern and their risks have compared. The properties of maximum likelihood estimation and approximate confidence length have also been investigated under hybrid censoring. The performances of the procedures are illustrated based on simulated data obtained under the Metropolis-Hastings algorithm and a real data set.
JIHADIS TERORISME: TITIK TEMU ANTARA AGAMA DAN KEKERASAN
Authors: Majid Abdul , Zainab Cut
Published: June 2021

Lately, there have been many incidents that have shocked the public, one of which is the bombing that occurred in Makassar under the guise of jihad fisabilillah. Many people are scared, non-Muslims become anxious, because they are scared if they become targets of terrorism. The violence that often occurs is an interesting topic to discuss together. Is it true what the jihadis say that is Religion that promotes this act of terrorism? In fact, if we look at religious values, there is no religion that teaches violence, no religion teaches killing fellow human beings. Moreover, the religion of Islam which loves peace and teaches love and compassion to all corners of the universe. However, if religion is not the real background, then what? Politics, transfer of issues and others. Many have misunderstood the interpretation of this jihad verse which has led to a misunderstanding of the teachings of jihadis terorisme. They think that this all-sophisticated and modern world is wrong, therefore they want to uphold the 'kedaulatan Allah' or what is commonly called the Islamic world which is ruled by the Khalifah which is actually no longer possible in this democratic country. This is a challenge for us to continue to study and deepen the science of religion properly so as not to be influenced by the teachings of the Jihadis terorisme.
KEKUASAAN POLITIK ISLAM DI ANDALUSIA: PINTU GERBANG MENUJU RENAISANCE EROPA
Authors: Faidi Ahmad
Published: June 2021

The triumph of Islamic politics in Andalusia (Spain) is one of the most glorious historical assets of Islam. In addition to the glory of Islam in Baghdad, Andalusia became an important civilization milestone as a bridge for Europe to pick up the enlightenment and golden phase. Although, the contribution of Islam to the glory of Modern Europe is not widely echoed by Western historians, the traces of its history cannot be erased. Through the works of Muslim intellectuals, such as Ibn Rushd, Ibn Bajah, Ibn Khaldun, and so on, Europeans were reminded of the classical traditions of their ancestors. The study of Islamic philosophy initiated by Muslim philosophers succeeded in reviving the classical tradition of Greek philosophy. This kind of scientific climate later became the trigger for the birth of the reform, renaissance, and modernization movements in mainland Europe. Undeniably, the political and intellectual triumph of Islam in Andalusia, which was geographically more accessible to Europeans than the Abbasids in Baghdad, became an important bridge for the rise of Europe to the pinnacle of modern civilization.
PERAN DINAS PERHUBUNGAN KOTA BANDA ACEH DALAM MENANGANI KONFLIK ANTARA TRANSPORTASI ONLINE DAN TRANSPORTASI KONVENSIONAL
Authors: Mahmuddin Mahmuddin , Nur Zalikha Siti , Nurmaini Nurmaini
Published: June 2021

Public service is a responsibility that governments must render to their people, as efforts of the state to meet the needs of its citizens and the rights of their citizens. One form of public service required by governments in services is the provision of public transportation. But with the rapid advance in information technology in the globalization, transport services have emerged from many types, one of which is online-based transportation. However, the high interest the city of Banda Aceh on online transportation has led to a conflict between online transportation and conventional transport, using this type of qualitative research using descriptive methods. The results of this study suggest that the role of the ministry of decommissioning today in addressing the conflict between transportation online and conventional transport has not yet been established by the city Dinas Perhubungan Banda Aceh in regulating the smooth operation of both transports and the lack of the same facilities provided for them. As for the mediation strategy, the negotiations between the two transport groups have also not been carried out by the city's Banda Aceh Dinas Perhubungan which is aimed at resolving the conflict between the two.
Efecto de la terapia de arte con arcilla como abordaje terapéutico no farmacológico en pacientes con enfermedad de Parkinson: una revisión integrativa
Authors: Contreras Rojas Camila Sofía
Published: June 2021

La enfermedad de Parkinson (EP) es un trastorno neurodegenerativo que altera significativamente la capacidad motora, el estado de ánimo y la calidad de vida del individuo. La terapia farmacológica actual se centra en el manejo de la sintomatologia, por lo que la terapia de arte, destacando la arcilla, se ha propuesto recientemente como una terapia adyuvante no farmacológica para atenuar muchas de las manifestaciones clínicas de la enfermedad. Por esta razón, se planteó como objetivo principal evaluar la evidencia científica reciente acerca del efecto de dicha terapia sobre las funciones motoras, afectivas y conductuales en los pacientes con EP. Para lograrlo, se realizó una búsqueda bibliográfica en las bases de datos PubMed, ProQuest, EBSCO host, Scielo, Elsevier, Science Direct y Scholar Google, empleando como palabras clave "Parkinson's disease" y "clay art therapy" y el operador booleano "AND". Se consideraron los trabajos publicados entre enero del 2008 y diciembre del 2019 y, tras establecer los criterios de inclusión, cuatro estudios fueron elegibles. Esta revisión demuestra el efecto beneficioso de la terapia de arte con arcilla como un abordaje no farmacológico complementario para mejorar las funciones afectivas y conductuales (depresión, ansiedad, pensamientos obsesivo-compulsivos, fobia y angustia) de los pacientes con EP. Sin embargo, las escalas implementadas en los estudios seleccionados no son suficientes para evaluar un impacto significativo sobre el estado motor o destreza manual de los pacientes, así como su efecto sobre la sintomatologia según el estadio de la enfermedad. Por esto, es menester ampliar las investigaciones en este campo para poder establecer de manera más concluyente el efecto global que produce la intervención artística de manipulación de arcilla sobre esta patología.
Fundamentos pedagógicos para la creación y producción de recursos educativos abiertos (REA)
Authors: Gómez Marín Alexandra , Restrepo Restrepo Edilberto , Becerra Agudelo Ricardo Andres
Published: June 2021

En este artículo se presenta el componente pedagógico del modelo derivado de la investigación Modelo para la cocreación y producción de contenidos educativos abiertos mediante el uso de una plataforma virtual. Este modelo busca contribuir al fortalecimiento de la formación virtual en el departamento de Antioquia. El  bjetivo de dicha investigación fue implementar un modelo para la cocreación y producción de contenidos educativos abiertos, llamados REA, mediante el uso de una plataforma virtual. Este modelo, que es el producto principal de esta investigación, está estructurado por tres componentes principales: pedagógico, de producción y tecnológico, los cuales se encuentran alineados a través de la autonomía, interacción, flexibilidad y mediación como principios transversales al modelo que lo orientan hacia la creación de contenidos educativos abiertos. El propósito fundamental de esta investigación es promover una educación en la cual se mejoren los procesos de enseñanza-aprendizaje a través de los REA haciendo uso de la  ecnología y de los elementos necesarios para que los contenidos sean más eficientes y productivos. Al mismo tiempo, se busca implementar su distribución bajo licencias que permitan su reuso, adaptación y  ransformación sin restricciones de propiedad intelectual. El componente pedagógico, en el cual se hará  nfasis en este artículo, surge del análisis de diferentes teorías, estrategias y metodologías de enseñanza-aprendizaje que se utilizan en la educación mediada con las tecnologías de la información y la comunicación (TIC). Este componente del modelo se fundamenta en el conectivismo como teoría de aprendizaje que fundamenta el proceso de creación de recursos educativos abiertos.
OCCUPANTS’ SATISFACTION OF SERVICED APARTMENTS DESIGN : CASE STUDIES IN KUALA LUMPUR
Authors: Wei Keat Ooi , Bava Mohidin Hazrina Haja
Published: June 2021

This paper aims to identify the factors that affect a good serviced apartment design by looking at three (3) parameters which are physical attributes, social needs, and facilities and services through the occupants’ satisfaction levels. Despite the increasing number of serviced apartment developments in Malaysia, there has been limited research to analyse occupants’ wellness and satisfaction in a serviced apartment to generate a model to guide the service apartments’ design and development. The research is conducted using multiple case studies methods through physical observation and questionnaire surveys based on the three (3) parameters mentioned above at the golden triangle area of Kuala Lumpur among three case studies that have been identified. The findings reveal that occupants are generally satisfied with serviced apartments in Malaysia; however, various key components need to be reassessed and improved for future developments in order to serve as a reference for local authorities, developers, and designers to design serviced apartments in the local context from occupant’s perspective.
Communal Space Design of High-Rise Apartments: A Literature Review
Authors: Wu Wenyuan , Xin Janet Ge
Published: June 2021

Satisfactory communal space in high-rise apartments helps to create a harmonious living atmosphere and enhance neighbourhood relations. This review summarises and analyses the research on the design of communal areas in high-rise apartments with consideration of five aspects: space division, universal design, security design, landscape design and decoration design. The aim is to achieve a comprehensive understanding of current design concepts relating to communal space in high-rise apartments and to identify key design considerations that are necessary for the development of sustainable high-rise apartments. The paper proceeds with three objectives: (1) to develop a comprehensive policy for communal space to support the sustainable development of high-rise apartments; (2) to identify research on the building materials that can be used to improve the environment of the communal spaces; and, (3) to identify areas that can improve the planning and management of open spaces in high-rise apartments with the help of existing information technology. Overall, this review provides some useful insights for the sustainable development of high-rise apartments in terms of shared-space design, while revealing gaps in the literature and areas for further research.
Courtyard as Tropical Hot Humid Passive Design Strategy: Case Study of Indonesian Contemporary Houses in Surabaya Indonesia
Authors: Nugroho Agung Murti , Citraningrum Andika , Iyati Wasiska , Ahmad Mohd Hamdan
Published: June 2021

Courtyard in building contributes to indoor thermal environment. Courtyard element is commonly applied as passive cooling strategy in the design of boarding house in Indonesia. Courtyard has a potential aspect of being micro climate-modifier to reduce indoor air temperature during the day. This paper discusses the effects of courtyards on indoor thermal environment in Indonesian contemporary boarding houses using field measurement. This paper focuses on the indoor air temperature reduction of 5 courtyard houses design of the contemporary boarding house in Surabaya, East Java, Indonesia. The field experiment method was used for two physical environmental variables: the air temperature and relative humidity. Each sensor was shaded with a paper cups wrapped with the aluminum foil to prevent the effect of direct thermal radiation. Measurement was taken for approximately 23 days continuously in each building. The results of the measurement exposed that the form and enclosure element is pivotal in its thermal environment design consideration for tropical climate. Meanwhile, utilizing ventilation blocks as the primary enclosure also help reduce air temperature in hot-humid climates. The results showed that the indoor air temperatures in the courtyard and surrounding room were approximately 0.3-1.7Â°C lower than the outdoor air temperature during daytime. During night-time, indoor air temperatures inside swing to 0.8-1.9Â°C higher than the outdoor. The results of the thermal environment evaluation revealed that indoor air temperatures can be categorized as a neutral temperature of the measurement period. Therefore, the application of courtyards in contemporary boarding houses have proven as possible means of achieving sufficient cooling effects through full-day ventilation strategy, and showed improved performance when combined with ventilated blocks.
The Architectural Analysis of the Illuminance Level in the Workspace, Using Natural and Artificial Lighting in Graha Pena Building in Makassar, Indonesia
Authors: Jamala Nurul , Rahim Ramli , Mohamad Shukri Sharyzee
Published: June 2021

Energy-efficient building design models are one of the factors that need to be considered in building planning. In the morning to evening, sunlight as a source of natural light can be used as a source of lighting in buildings. By utilizing natural light, it will reduce energy consumption in buildings. Air conditioning and lighting are important factors in designing energy efficient buildings. In this study, analyzing natural and artificial lighting at Graha Pena Makassar Building. The research method is quantitative by measuring and analyzing several workspaces that are directly and indirectly related to openings in the building envelope. statistical descriptive analysis, namely entering data into tables and graphs, then analyzing the level of illumination in the analyzed workspace. The research objective was to determine the level of illuminance in several workspaces with different orientations. How is the effect of natural light distribution on building orientation and how is the artificial lighting system at workspace in the Graha Pena Makassar. The results showed that the orientation of the building had an effect on the distribution of natural light into the space. The spatial orientation facing East has a higher distribution of natural light than that of the south. Workspaces that are not directly related to window openings in the building envelope are using artificial lighting systems in the form of lights. The workspace has uneven illumination levels in its work area, because the layout and placement of lighting points have not been well planned. The contribution of this research is a reference in designing a building facade design with an attractive appearance, and can maximize the use of solar energy as a source of natural lighting, while still paying attention to the visual comfort of space users.
A STUDY OF URBAN LIVEABILITY IN A CITY AND A SUBURBAN. CASE STUDY: KUALA LUMPUR AND PUNCAK ALAM, MALAYSIA.
Authors: Hoon Leh Oliver Ling , Abdul Aziz Muhammad Hanif , Mohd Mahbot Norseha , Marzukhi Marlyana Azyyati , Nasrudin Na'asah
Published: June 2021

Urban always being the main catalyst of growth in most of the countries. However, due to the high concentration of population, urbans encounter various challenges, i.e. environmental degradation, social unhealthiness, low sense of security, unhealthy lifestyle and traffic congestion. These phenomenon affect the liveability of urban dwellers. Liveability is affected by physical environmental and social aspects. A liveability study had been carried out in Kuala Lumpur city (with Mandy Villa as the study area) and a suburban (Puncak Alam). This paper is prepared with the aim to analyse the liveability of the residents in these areas and the relationship with the physical and social aspects. With a questionnaire survey, the respondents with diverse social and demographic background were mostly felt that the study areas were liveable. Relationship analysis via correlation tests showed that some of the physical aspects and most of the social aspects were positively and significantly related to the liveability level. With the research findings, urban managers, planners, private company and public agencies can come out with better strategies to improve the urban liveability. Nevertheless, more studies should be carried out in future for different locality for a better understanding of the urban liveability and the determining factors.
THE LOCATION, HOUSE, OR NEIGHBOURHOOD CHOICE PREFERENCES AMONG MALAYSIAN HOUSING GENERATIONS
Authors: Ismail Hafiszah , Mohamed Shaari Shazwan
Published: June 2021

Demographics and population have been evidenced as part of the key elements that affect property development. Changes in demographics specifically may influence the economy including the property market hence influences the generations. Behaviour and values divergences among various age groups (generations) resulted in a variance of housing choices and decisions made. The generations are the population categorised by the age cohort including the Baby Boomers, Generation X (Gen-X), Generation Y (Gen-Y) and Generation Z (Gen-Z). This study aims to offer a comprehensive overview of housing decisions via choices made between location, house, and neighbourhood between Malaysian generations. This study uses mixed methods approaches with the Selangor state as a case study. The Pair-wise and Analytic Hierarchy Process (AHP) methods of data analyses used for consumer behavioural decision-making studies were adopted in this study to determine the preferences of future housing choice between location, house and neighbourhood. The analysis uncovers house, location and neighbourhood as the prime housing choices factors of the Malaysian generations. The findings evidenced likeliness and differences of housing decision by generations on the choices made. Most importantly, the findings are significant in contributing better understanding and grant indications to the local authorities and housing developers on the main attraction factors of housing choice preferred by generations that may be very valuable for the enhancement of future Malaysian housing provisions.
Feasibility Financial Analysis of Commercial Area Investment at XYZ Airport
Authors: Septiandy Luthfi , Rahadi Raden Aswin
Published: June 2021

PT XYZ is enterprises that belong to West Java Provinces due to their status as regional owned enterprises. In May 2018 one of their unit XYZ Airport start the first flight to Surabaya. To increase enterprises growth, enterprises are necessary to determine the new revenue stream. The airport industry the revenue divided into two types of aero revenue and non-aero revenue. In this research focused on the non-aero sector, at the moment, XYZ has 12 Ha area that can utilize economically to investing. Based on best practice at the predecessor, the favorable investment that can be conducted in developing the commercial area surrounding the airport. The benchmark also shows that the commercial area consists of hotel facility, outlet, retail park, and another supporting facility. Through AHP analysis, the suitable business model that firm can adopt is Joint Venture Agreement (JV) with the highest weight 37,74% biggest among other business models Kerja Sama Pengusahaan and Build Operate Transfer. For the financial aspect, there three scenarios that differences based on the source of fund. The total investment that tenant needs in order to develop a commercial area is Rp. 491.302.150.000 otherwise for XYZ the investment is amount Rp. 188.647.712.794. From the analysis the Scenario 2 is favorable based on the result of feasibility with discounted payback period nine years, NPV amount Rp. 3.637.491.236.349. The profitability index also shows that investment is profitable over the requirement ( > 1,00) also the internal rate of return higher than cost of capital with 27,68 %. For sensitivity analysis, there four parameters as the basis to calculate, and the analysis shows interest rate with swing 10% from basis point resulting huge deviation from NPV -17,26%
Chlorine determination in medicinal plants by potentiometry with ion-selective electrode after microwave-induced combustion
Authors: Nascimento Mariele Samuel , Druzian Gabriel Toneto , Picoloto Rochele Sogari , Mello Paola Azevedo , Flores Erico M. M.
Published: June 2021

A method based on microwave-induced combustion (MIC) was applied for medicinal plants digestion allowing further chlorine determination by potentiometry using ion-selective electrode (ISE). Sample masses ranging from 500 to 1000 mg were evaluated for MIC digestion. Water and 10, 25, 50, and 100 mmol/L NH4OH were investigated as absorbing solutions. The accuracy of the proposed method was evaluated by using certified reference materials (CRMs), by recovery tests (500 µg/g), and also by comparison with the results obtained by inductively coupled plasma optical emission spectrometry (ICP-OES) after microwave-assisted alkaline extraction (MAE). Using water or NH4OH solutions (10 to 100 mmol/L), recoveries close to 100% and relative standard deviation lower than 5% were obtained. Results were in agreement with CRMs values (better than 95%) and also with those values obtained by using the MAE method. The main advantage of the proposed method was the complete combustion of high sample mass (1000 mg) resulting in low quantification limit (12.5 µg/g) and chlorine determination at low concentration by ISE. Another advantage of the proposed method was the high chlorine stability in digests (up to 30 days of storage) even using water as absorbing solution, which is in agreement with green analytical chemistry recommendations. Finally, the proposed MIC method was applied for commercial medicinal plants and the chlorine concentration was in the range of 59.4 ± 1.4 to 2038 ± 70 µg/g. The proposed MIC method was considered suitable for quality control for chlorine determination in medicinal plants.