bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of regulating ecosystem services in Surabaya City
Authors: Umilia E , Firmansyah F , Setiawan R P 
Published: September 2020

Abstract
Ecosystem services have been extensively studied in recent years. As a component of ecosystem services, regulating ecosystem services play an important role in promoting and maintaining liveable and resilient cities. There is a strong relationship between formulation of urban planning and regulating ecosystem services. A clear understanding is required to identify the indicators of regulating ecosystem services to be considered in spatial and development planning documents. Surabaya as the second largest city in Indonesia has very high dynamics of land use and environmental changes due to its rapid development. This aim of this study is to assess the regulating ecosystem services in Surabaya City. The specific objectives are to identify the indicators of regulating ecosystem services, to assess the regulating ecosystem services and to provide maps of the spatial distribution, and to calculate the composite index of regulating ecosystem services. Eight indicators of regulating ecosystem services were used in this study, namely climate regulation, water regulation, drought prevention and flood control (R2), prevention and protection from natural disasters, water purification, waste management and decomposition, air quality, natural pollination, and pest and disease control. The results show that the ecosystem service index in Surabaya City has medium score.
Temperature Comparison Research of New Maintenance Method in Airport Pavement Concrete of China
Authors: Ma D X , Yang W K , Lai Y , Hou S , Ye Q , Wang P , Li B 
Published: September 2020

Abstract
Through comparing actual projects this paper presents and discusses the effects of curing film and geotextile on temperature of airport pavement concrete during maintaining process. The results show that, compared with the maintenance of geotextile, the curing film can ensure sufficient temperature, and it has very significant uniformity and continuity.
Simulation and Analysis of CH4 Concentration Measurement Based on QCL-TDLAS
Authors: Zhimin Wang , Han Wang , Yingchun Yu , Mengying Zhang , Leilei Ma , Fang Zou , Chunhao Wang , Junjian Kang 
Published: September 2020

Abstract
Tunable diode laser absorption spectroscopy (TDLAS) is a kind of gas concentration measurement technology with high precision widely used in the detection of methane (CH4). Compared with the near-infrared absorption band, CH4 molecule has greater absorption intensity in the range of mid-infrared absorption band. Therefore, the TDLAS performance can be greatly improved when the mid-infrared quantum cascade laser (QCL) is adopted as light source when detecting CH4 concentration. As an important parameter, the effect of modulation factor on the second harmonic signal was analyzed, and the optimal value of modulation factor was obtained to be 2.2 by simulation. In addition, both the TDLAS measurements of CH4 concentration in the range of near-infrared and mid-infrared were simulated and analyzed under normal temperature/pressure and troposphere environment respectively. The results show that the sensitivity of the detection of CH4 gas in the mid-infrared band of 7.6 μm is greatly improved relative to the absorption band of 1.6 μm in the near-infrared.
Research on Urban Ecological Environment Problems and Sustainable Development
Authors: Liu Feihu , Ding Yu 
Published: September 2020

Abstract
With the continuous development of economy and the acceleration of urbanization, the ecological environment of cities becomes more serious. It can be said that economic development has promoted the improvement to people’s living standards but also affected the ecological environment. How to balance the ecological environment and economic development has become a very important issue. This paper expounds the theoretical basis of the sustainable development of urban ecological environment, analyzes the problems of urban ecological environment, and gives some targeted and feasible methods.
Application of Solar Energy Circulation System in Wall Insulation
Authors: Zhang Handong , Yang Jie , Xu Guoliang 
Published: September 2020

Abstract
With the rapid development of science and technology, people are more in pursuit of green, high-quality and comfortable life. So solar energy enters our world, it brings warmth and environmental protection. However, there are not many systems combining solar energy with house insulation. In the night, the wall temperature loss is too fast, the use of air conditioning is not environmental protection. It will increase air pollution. This paper studies the solar energy household heat preservation cycle system, which is a new application of solar energy.
A Framework on Quality Risk Early Warning for Hydraulic Engineering Construction Based on LSTM
Authors: She Chunyong , Zhang Ke , Feng Jingchun , Cui Le 
Published: September 2020

Abstract
With the reform of “strengthening management and service”, the focus of water conservancy project administration has gradually changed from the former mode of “attaching importance to examination and approval and ignoring supervision” to the mode of “attaching importance to service and strengthening supervision”. However, government supervision relies only on human resources, so it is inevitable that there will be overlapping supervision, loopholes, low efficiency and high cost. In this paper, the LSTM model in deep learning is used to predict the risks of water conservancy projects according to the text information such as quality supervision and inspection reports, and the risk early warning system of water conservancy projects is designed to provide auxiliary decision support for the quality supervision of water conservancy projects, which is of great significance to the formulation of quality supervision measures, allocation of supervision and management resources and the quality guidance of water conservancy projects.
Tentative Ideas on Application of Prefabricated Environmentally-friendly Canals in Canal System of Farmland Irrigation District
Authors: Zhao Binbin , Yao Jianfeng , Tu Zhibin , Wang Yijia , Liu Xueying 
Published: September 2020

Abstract
This paper analyses the shortcomings of the reconstruction method of the current farmland irrigation canal and proposes a new type of environment-friendly prefabricated canal which is made of the new high-strength anti-seepage material produced by recycled construction waste. The new type of canal has the advantages of convenient transportation, low cost, high strength, short construction period, etc.
Distribution Characteristics of Some Heavy Metal Elements in the Polluted Soil in Baiyin Dongdagou
Authors: Yue Bin , Li Wan-Jiang , Chang Guo-Hua , Gao Tian-peng 
Published: September 2020

Abstract
11 soil samples with different depths were collected in Dongdagou, Baiyin city, and the contents and correlations of Ni, Cu, Zn, Cr, Cd, Pb and Hg in the soil were investigated and analyzed. The results showed that the distribution content of heavy metal in the soil was according the order of Zn > Cu > Pb > Cd > Cr > Ni > Hg. There are significant correlation between Zn and Cd, Zn and Cu in the soil, and the compound pollution characteristics of heavy metal on the soil are revealed. These results would provide theoretical direction and scientific basis for the risk assessment and prevention of soil heavy metal pollution in Dongdagou area of Baiyin city.
Eco-agriculture and Renewable Energy System Concept for a Rural Community in Ghana
Authors: Mao Junqi , Addanki T , Gebhard M , Ghio F , Li Haomin 
Published: September 2020

Abstract
Eco-agriculture is the trend of rural development in this age. This research uses the moringa tree as an example to build up the eco-agricultural and renewable framework for a typical village in Ghana. An energy balance is analyzed using an urbs tool, while business and financial models are built up following MVP (minimum viable product).
The internal force numerical analysis of the tunnel structure affected by landslide-tunnel system
Authors: Zhijie Sun , Qingzhong Kong , Jie Song , Yanchao Wang , Yi Chen , Yamin Liu 
Published: September 2020

Abstract
In order to reveal the internal force law of tunnel structure on different positions of landslide tunnel system, the internal force of supporting structure around tunnel on 12 working conditions was compared by numerical simulation method. The results show that the axial force is much greater than the bending moment and shear force. The influence of buried depth on axial force is greater than that of sliding zone. The bending moment and shear force are lower in the whole range of the arch, while the middle and lower parts of the side wall and the two ends of the invert vary greatly. In the design of similar tunnel structure, axial force should be taken as the main control parameter.
Geophysical method exploration for slope failure investigation
Authors: Abdullah N.H. , Mohamed Jais IB , Awang H. 
Published: September 2020

Abstract
A combination of seismic refraction survey, electrical resistivity method and integration with borehole method has been used for ground exploration to study the slope surface failure along the study area at Kayangan Height, Selangor. This study focuses on investigating the possible cause of the slope failure at the area. By necessity, non-destructive method like electrical resistivity test is the most suitable method as this method can determine the subsurface water conditions. Meanwhile, seismic refraction test is able to determine the type of subsurface layers and level of bedrock. Seismic refraction test can guide the borehole drilling works which can provide borelog data. Based on the study, seismic tomogram and 2D resistivity imaging results provide complementary information to each other. The existing geotechnical borehole logs refined both seismic and 2D resistivity results. Therefore, the study shows that the electrical resistivity test, seismic refraction test and borelog data in combination, could be an effective tool and cost effective for slope failure investigation.
Recycling rubberwood bark wastes into biochar to enhance chemical properties of peat soils
Authors: Md Zin Nurfarahana , Qursyna Boll Kassim Nur 
Published: September 2020

Abstract
Peat soils in Malaysia is renowned for its poor chemical properties and often lead to restriction in agricultural uses. The abundance of waste in particle board and furniture industry offers a potential for producing biochar products with ability to enhance peat soil chemical properties. This study intends to evaluate the effects of different rate of rubberwood bark biochar on selected chemical properties of peat soils and growth performance of paddy variety MRIA 1, as a test crop. Results showed that application of rubberwood bark biochar at the rate of 226.80 grams (Treatment 3) significantly improve the soil pH, soil exchangeable potassium (K), calcium (Ca)and magnesium (Mg) combined with positive increment of tillers number, root length and height of paddy plant compare to other treatments. This study suggested a positive potential of rubberwood bark biochar to enhance the chemical properties of peat soils which led to good plant growth performance
A Review Survey on the Use Computer Animation in Education
Authors: Rohana Mansor Noor , Zakaria Rosdi , Abd. Rashid Roswati , Mohd Arifin Raihan , Hairiel Abd Rahim Baidruel , Zakaria Ruslimi , Abd. Razak Mohd Tajuddin 
Published: September 2020

AbstractThe use of animation computers in today’s world is beneficial in many sectors. Animations development has changed over time and usage context, and illustrate phenomena and concepts that difficult to understand. Animations may not always be useful, however, and teachers using animations need to understand the importance of it. This paper focused on illustrating potential applications of animations in language learning and education, on identifying evidence- based principles for their design and use, and on proposing possible research works. The animation in animation involves the use of compelling graphics, including images, audio and video in the form of technology. However, the use of animations or computers is not limited to education alone, in addition to the education sector, the economic sector, the business sector, the medical sector. However, there is a great deal of debate about the effectiveness of computer animation in various fields. The general findings can be concluded that the role of computer animation is constructive in mostly in language learning.
Gamification Elements in Quizizz Applications: Evaluating the Impact on Intrinsic and Extrinsic Student’s Motivation
Authors: Razali N , Nasir N A , Ismail M E , Sari N M , Salleh K M 
Published: September 2020

Abstract
In recent year, gamification has begun to invade in the educational setting. It is to train students to create an intellectual challenge, identifiable methods, and interactivity resulting from the playing. This paper will discuss further on the level of motivation of the students, specifically on intrinsic and extrinsic motivation once after applying the gamification in their learning process. Followed by which gamification elements that significantly influences the inherent student motivation when using Quizizz application. This study used non-experimental as a research design. Participating students include 63 students from Building Engineering in Kolej Kemahiran Tinggi Mara (KKTM) Sri Gading, Batu Pahat who took the course of Mathematical Engineering. The findings showed that students’ intrinsic and extrinsic motivation was at a moderate level after applying the gamification approach. While then the results of inference test using multiple regression analysis indicate that only 44 per cent of the variance in the students’ intrinsic motivation can be predicted from the gamification elements and 63 per cent of the variance in the students’ extrinsic motivation. The findings also revealed that the gamification elements used in the Quizizz application are significant in the relationship with students’ extrinsic motivation from points, level of difficulty, and avatar construct. In contrast, gamification elements also significant in the relationship with students’ intrinsic motivation from points construct. Thus, this paper will able to help instructors in creating and creatively use the gamification as one of the methods in their teaching styles, other than enhancing the students’ extrinsic and intrinsic motivation. Finally, the results and implications are discussed further for a better motivational design of gamification.
Cloud-based System for University Laboratories Air Monitoring
Authors: Abdullah A H , Sudin S , Mustafa M H , Bakar M A A , Saad F S A , Ahmad Z A , Elshaikh M , Ismail K A , Ahmad A G , Yusuf S Y A 
Published: September 2020

Abstract
Indoor air such as house, shopping complex, hospital, university, office and hotel should be monitor for human safety and wellbeing. These closed areas are prone to harmful air pollutants i.e. allergens, smoke, mold, particles radon and hazardous gas. Laboratories in university are special room in which workers (student, technician, teaching/research assistants, researcher and lecturer) conduct their works and experiment. The activities and the environment will generate specific air pollutant which concentration depending to their parameters. Anyone in the environment that exposure to these pollutants may affect safety and health issue. This paper proposes a study of development of a cloud-based electronic nose system for university laboratories air monitoring. The system consists of DSP33-based electronic nose (e-nose) as nodes which measure main indoor air pollutant along with two thermal comfort variables, temperature and relative humidity. The e-noses are placed at five different laboratories for acquiring data in real time. The data will be sent to a web server and the cloud-based system will process, analyse using Neuro-Fuzzy classifier and display on a website in real time. The system will monitor the laboratories air pollutants and thermal comfort by predict the pollutant concentration and dispersion in the area i.e. Air Pollution Index (API). In case of air hazard safety (e.g., gas spills detection and pollution monitoring), the system will alert the security by activate an alarm and through e-mail. The website will display the API of the area in real-time. Results show that the system performance is good and can be used to monitor the air pollutant in the university laboratories.
Comparative Experiments for Classification of Diabetes Mellitus
Authors: Aida Fatimah Madon Siti , Mustapha Aida , Zainuri Saringat Mohd , Helmy Abd Wahab Mohd , Zulkarnain Syed Idrus Syed 
Published: September 2020

Abstract
Diabetes is an affecting people disease nowadays. Over 246 million people worldwide with a majority of them being women had been affected by diabetes. According to the World Health Organization (WHO), by 2025, this number is expected to increase to over 380 million. The disease has been ranked as the fifth deadliest disease in United States with no imminent cure in sight. Along with the increasing of the information technology and its continued advent into the medical and healthcare sector, the cases of this disease and the symptoms are well documented. This paper aims at finding the best performance by four classification algorithms, which are Naive Bayes, Simple Logistics, REPTree, and Sequential Minimal Optimization (SMO). Model testing on 200 tuples with 9 attributes in the diabetes dataset revealed that Naive Bayes achieved highest accuracy of 85%. To improve the overall accuracy, it is necessary to use more data set with larger number of attributes and use a better feature selection method in future works.
Development of Cognitive and Psychomotor Task for EEG Application with Matlab-based GUI
Authors: Sha’bani MNAH , Fuad N. , Jamal Norezmi , Marwan M.E. , Helmy Abd Wahab Mohd , Zulkarnain Syed Idrus Syed 
Published: September 2020

Abstract
Conventionally, the evaluation of cognitive and psychomotor ability performance is typically based on self-writing reports. However, such assessment was unable to measure the actual performance during the task execution. Furthermore, the performance results perceived by the instructor is mainly subjective. For an alternative solution, a new approach is proposed to acquire brainwave signals (i.e. electroencephalogram (EEG)) during task performance. The application of EEG offers a promising approach in evaluating skill abilities at physiological level. Hence, a task related to the assessed skill needs to properly design to ensure the induced EEG signal is reliable for performance evaluation. With the aid of Graphical User Interface (GUI), the time frame of each response can be capture and recorded. Therefore, this paper presents the development of task assessment in evaluating the performance of cognitive and psychomotor abilities based on EEG signal.
Content Based Image Retrieval on Natural and Artificial Images
Authors: Irianto Suhendro Y. , Galih Muhammad , Agus Isnandar , Darmawan Abdi , Lindar  
Published: September 2020

Abstract
Data or information now is not only presented in text, but can also be presented in other forms for example in the form of images. Still image data and moving picture require storage which is much bigger than the text data. As a consequence, we need a method that can speed up the process of indexing and retrieving digital images as well as to reduce storage needed. So increasing data in the form of digital images does not reduce the speed and performance of computers and image data transfer in the internet. In this paper, we try to explore the JPEG image which is currently considered as an international standard for images in WWW. Most of the images currently stored in a media that we use frequently or on the internet are in JPEG format. This JPEG format has many advantages compared to other formats one of the advantage of JPEG is the size smaller compared to other such as PNG, and TIF. Therefore, JPEG has a very important role in saving storage without reducing quality of image itself. The research was carried out to determine the effectiveness and speed of retrieving natural images and artificial images using the CBIR method, research using no less than 5,000 images, and applying queries from 50 to 80. The results showed than in terms of effectiveness, images artificially better than natural images while natural speed is better. On the hand, speed of retrieving of natural images much better compared to the artificial images.
Cervical Cancer Classification Using Image Processing Approach: A Review
Authors: Zhe Wei Low , Azani Mustafa Wan , Aminudin Jamlos Mohd , Zulkarnain Syed Idrus Syed , Hamzari Sahabudin Mohd 
Published: September 2020

Abstract
At present, Cervical cancer is the second most common cancer among women around the world. This cancer develops in the cervix; which is the entrance to the uterus. Most of the time, hospital doctors are facing difficulties in identifying cancer cells because the nucleus is sometimes rather difficult to see with the naked eye. Normal cells nuclei are smaller than abnormal cells nuclei. Abnormal nuclei are larger, which sometimes cannot be precisely identified by classifying stages of cervical cancer with the naked eye. This is because each doctor has a different perspective to monitor the classification of cancer stages by observing the nucleus without precisely reducing the size of the classification accuracy. Lately, many researchers have proposed methods for detection and classification of Pap smear images to diagnose cervical cancer. This approach can improve detection and classification accuracy, resulting in better results with accurate data balance and samples. Some patients are found to be in Stage 2 but after retesting they are actually in Stage 4, where the chances of recovery are very low. This is because doctors cannot find the right balance data and unable to take samples properly. This article discusses a comprehensive review of cervical recognition based on segment core and classification.
Face Aging on Realistic Photo in Cross-Dataset Implementation
Authors: Hamzah Nabilah , Hafizhelmi Kamaru Zaman Fadhlan 
Published: September 2020

Abstract
Face aging or age progression is a prediction on how a person looks at the future. Face aging image-to-image translation is a process of translating an image of young people to their older version or vice versa. The need for a paired training dataset to train the generative adversarial networks (GANs) is a major problem with face aging image-to-image translation. Nowadays, there is a method where an unpaired training dataset can be used to do an image-to-image translation. CycleGANs is a GANs extended methods where there is no need for paired training dataset to train the CycleGANs. From the result, it shows that CycleGANs can do face aging image-to-image translation without using the paired training dataset.
Energy smart saving classroom with IoT based
Authors: Johana Mohamad Elmy , Kian Sek Tee , Chang Choon Chew , Mohd Faizan Omar , Abd Rahim Ruzairi , Mohaffyza Mohamad Mimi 
Published: September 2020

Abstract
A smart lecture room system is an approach to a complete solution for both building managers and users from a classical lecture room. This project is made to control the access of the lecture room automatically using a magnetic door lock. The system is controlled by the smartphone-based application with Wi-Fi connection. The access control system comes with energy-saving capability which is control the power supply. The system is also equipped with a security attribute as it embedded with motion detectors. This system is for detecting intruders who have no permission to enter the lecture room and make it more secure. Therefore, this device can be applied for general used to improve the current smart lecture room system.