bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Passive Building Energy-Efficiency Evaluation Method Considering Human Thermal Adaptation with Seasonal Climate Change
Authors: Zheng W , Chang Y , Zhang L , Li W , Liu Y , Cho S 
Published: December 2020

Abstract
Under the premise of satisfying the human thermal comfort in the whole year, accurately evaluating the building energy-efficiency (BEE) through passive design can provide direct feedback and guidance for the passive design process. The scientific relationship between dynamic indoor thermal comfort benchmarks, outdoor climate change and passive building energy-efficiency design (PBEED) is a prerequisite for calculating BEE with passive design method. However, the current energy-efficiency effect evaluation method cannot reflect the dynamic change characteristics of the thermal comfort benchmark linked with the continuous dynamic change of the climate throughout the year. Firstly, BEE evaluation method in China was introduced, and energy conservation ratio calculating method was illustrated. Then, analyse and conclude 4 disadvantages of BEE evaluation method. Secondly, a new calculating method of PBEED evaluation considering human thermal adaptation with seasonal climate change was invented, including calculating model, some new concepts appeared in the model and calculating process of PBEED evaluation index. Finally, obtaining method of the PBEED evaluation index was proposed, including temperatures outdoors and indoors, dynamic thermal comfort zone. The results of this study will expand the application field of adaptive thermal comfort in building energy conservation, and will provide scientific support for accurately evaluating the passive building energy-efficiency design.
Research on the Aging Evaluation System of Public Environment in Communities from the Perspective of Sustainability
Authors: Mei Wen-Bing , Ou Sheng-Jung , Li Kun 
Published: December 2020

Abstract
The purpose of this study is to improve the quality of community-based care for the elderly, and to build an evaluation system for the aging of the community’s public environment. The research is carried out in two phases: the first phase is the policy specification and the literature statistics, the preliminary sampling of the appropriate aging evaluation indicators; the second phase is the questionnaire survey and exploratory factor analysis, extracting important evaluation factors.The research results showed that the evaluation system of community public environment suitable for aging people is composed of 4 dimensions and 24 indicators, the study suggested that construction standards and decision-making basis for the community’s public environment to be suitable for aging people when the community is under renewed and reconstructed situation.
The Indicators Constructed by FAHP and the Delphi Method to Evaluate Sustainable Development of Taiwan’s Indigenous Tribal Environment
Authors: Liu I. C. , Chiang Y. H. , Han C. J. , Liu Y. L. 
Published: December 2020

Abstract
The research aims to investigate the indicators for evaluation of sustainable development of Taiwan’s indigenous tribal environment. For that matter, the indicators for evaluation of sustainable development of Taiwan’s indigenous tribal environment are obtained from literature reviews and further 1nalysed through two questionnaire surveys by the Delphi method and the Fuzzy Analytic Hierarchy Process (FAHP).The research findings are summarized as follows: (1) Five first-class indicators and 24 second-class indicators for evaluation of sustainable development of Taiwan’s indigenous tribal environment are derived; (2) First-class indicators are life culture, art culture, historical site, natural environment and tribe experience according to their weights from high to low; (3) Nines key factors for evaluation of sustainable development of Taiwan’s indigenous tribal environment are celebration of festival, traditional cuisine, life etiquette & custom, architectural feature, ancient monument, traditional artistry, life experience, life style and industrial activity. The research findings as suggestions for sustainable development of Taiwan’s indigenous tribal environment will be submitted to the relevant organizations or other researchers who are interested in our research in their follow-up studies.
Gradient Boosting Tree for Land Use Change Detection Using Landsat 7 and 8 Imageries: A Case Study of Bogor Area as Water Buffer Zone of Jakarta
Authors: Handoko Juni , Herwindiati D E , Hendryli J 
Published: December 2020

Abstract
The land use change in Bogor regency need to be studied, since it acts as a water buffer zone for the sorrounding area, which includes the capital city of Jakarta. This study aims to analyze the land use changes in Bogor Regency using the gradient boosting tree model. Landsat 7 and 8 imageries of Bogor area in 2008, 2011, 2014, and 2017 are used as the case study. The images are cropped into sub-district level and classified into four classes, which are green area, partial green area, impervious land, and partial impervious land. By comparing two images of classification result between two different years, the land use changes can be determined. This study shows that most land use changes from 2008 to 2017 occur in Sukamakmur sub-district with a percentage of 69.31% (134.0757 km2). Based on the type of land, most land use changes are from impervious area to green area.
Exploiting Artificial Intelligence to Enhance Healthcare Sector
Authors: Sivalenka Vishali , Aluvala Srinivas , Fatima Naheer , Raghava Kumari D , Sandeep CH 
Published: December 2020

Abstract
The resonance of the Artificial Intelligence (AI) makes it familiar in the lives of current generation. Artificial Intelligence is concerned to build smart machines possessing capability to perform different tasks without any human interaction. So, these machines are considered as a replica of human intelligence. The predictions and processing of large amount of data performed by artificial intelligence can be faster and more accurate compared to human beings whereas humans take a lot of time to analyse the huge volume of data. As the technology is upgrading gradually in the present generation, artificial intelligence created its own significance in the market through its emerging technologies such as machine learning and deep learning. Many small and large sector enterprises have been started utilizing the artificial intelligence. It is existing in many forms such as SIRI, ALEXA etc. and also been implementing in many areas such as healthcare, education, business, finance, manufacturing, banking and more. This paper focuses on and presents the implementation, impact of artificial intelligence in healthcare.
Cognitive ability to improve driving in aging adults suffering with visual and hearing impairments with yoga and exercise
Authors: Martha Sheshikala , Ahmed SyedMusthak , Jose Mary G. , Yadav Bonthala Prabhanjan , Gouthami S. , Sridevi M. 
Published: December 2020

Abstract
Visual and Hearing impairments are the one of the major cause for accidents. In this paper we discuss the major impacts of Visual and Hearing Impact while driving and the remedies that can be used to provide the solution to the Problem. Impairment can be defined as the abnormality or mis-functionality of a physical body or a system. We discuss the types of disease that are affecting both vision and hearing impairment and the types of exercises that are required to overcome these diseases empowering Cognitive Abilities. Yoga plays a major in improving the strength of Visual and Hearing impairments, so we discuss the exercises that are required to improve the impairments.
Analogous Approach towards Performance Analysis for Software Defect Prediction and Prioritization
Authors: Smitha Chowdary Ch. , Edamadaka Gayathri , Raghavendra Sai N. , Jogendra Kumar M. 
Published: December 2020

Abstract
This exploration paper proposes the Software frameworks assume a significant part in everyday human lives, and hence making quality programming framework is an indispensable issue. A lot of work is being done here. One of the principle key among them is programming deformity forecast (SDP). Imperfection Prediction is a twofold request issue the spot a particular item module will be requested as broken however those blunder might be more great more than 0 and as Non-Defective on those slip will be identical to 0. A number for programming estimations additionally measurable models have been framed to this explanation behind existing. Larger aspect of the deformity Prediction models would make using AI in techniques. That execution of various models can be contemplated using the boundaries like Accuracy, hit rate and bogus alert rate. In this exploration covers on the different examinations done on the region of programming imperfection forecast in the previous not many years lastly another framework is proposed.
Various signals used for device navigation in BCI production
Authors: Janapati Ravichander , Dalal Viswas , gupta Rakesh sen , Anuradha P , Raja Shekar P V 
Published: December 2020

AbstractWith computer hardware development in recent years it has become easier than in earlier centuries to resolve problems in machine learning and computer vision. This has led to a widespread interest in EEG-based brain computer (EEG-BCI) interfaces, which can be used to support a number of support technologies which benefit from the hands-free and personal thought translation in this area. However, most analysis is more practical than evidence-of-concept. Therefore, some technological advances are being developed to allow seriously weakened engine systems to be used temporally in a 2D or 3D virtual environment, such as multiple sclerosis, amyotrophic lateral sclerosis, New technologies and rising developments in automation technologies, In bringing new technology to a continuously diverse population, we are confronted with new challenges. However, in recent years no one has studied general patterns for web applications with different aspects of the BCI interface architecture. In this study, we examined how EEG-BCI research has developed over the past decade to explore the latest trends in EEG applications. In this article, we have researched the review of articles BCI articles for each signals and functionality.
Cancer prediction for type-2 diabetes using machine learning
Authors: Malathy V , Shilpa N , Anand M , Swathi N , Elavarasi R 
Published: December 2020

Abstract
Type-2 diabetic patients may easily get suffered from cancer. The presented work in this paper predicts whether the diabetic patient has got cancer problem or not. If cancer is identified in the patient, the type of cancer such as breast cancer, colon cancer and liver cancer is classified. The parameters associated with cancer and diabetes are recognized and collected. Then the collected dataset is preprocessed. During preprocessing the null values in the dataset are replaced with mean values. The dataset is now ready for training. Cancer disease prediction is done by breast cancer, colon cancer and liver cancer. To classify the cancer type, random forest algorithm is used.
Solar power generation system with IOT based monitoring and controlling using different sensors and protection devices to continuous power supply
Authors: Rajeshwar Reddy K , Arabelli Rajeshwar Rao , Rajababu Durgam , Mahender Kommabatla 
Published: December 2020

Abstract
IOT technology, now a day performs very crucial role in industrial aspects related to safety, cost, production and maintains. The cost of renewable energy equipment is much lower, and large-scale industries are encouraged to set up solar photovoltaic systems and maintainers objects that are very useful for high power consumption. This solar photovoltaic system requires a better automation of the equipments, controlling, monitoring plants using remotely with different types of sensors that are interfaced with the system equipments and then have to identify the problems related to inaccessible locations in the industry. Using IOT technology for controlling and generating solar photovoltaic power can have a significant impact on the performance, monitoring and control of the plant using various wireless communication technology methods and then eliminating interrupting problems in a very short time. In this paper, we have implemented a solar power generation and tracking system with IOT sensors and produced continuous power.
Novel Hybrid MIMO Detector for Spatial Multiplexed MIMO System
Authors: Umamaheshwar Soma , Mahender Kommabatla , Gopal Maisagalla 
Published: December 2020

Abstract
The need of data transmission has recently increased dramatically and the promising MIMO technology has been employed to preserve reliability. It can achieve exceptionally enhanced spectral proficiencies by adopting several antennas both at the source and the receiver. However, complexity of several detection schemes escalates because of tremendous increasing of customers and antennas. This paper proposes novel hybrid MIMO detection (NHMD) method to compromise the complexity and the hardware design challenges. The key objective is to develop a less-complex hybrid detection system to enhance hardware execution suitability without negotiating the performance of the bit error rate. The proposed NHMD method combines conventional linear detectors such as zero-force (ZF) and minimum mean square error (MMSE) with the K-best detector for quality enhancement. It introduces an optimal differential evolution (ODE) algorithm that selects detector using multiple constraints. Moreover, this method uses parallelism process to reduce the number of arithmetic logics. The proposed NHMD method has been done for different antenna configurations (2×2, 4×4) and implemented on Xilinx tool with different FPGA families. The simulation results confirm that NHMD method consumes less hardware’s, power and higher throughput without affecting BER performance.
Radiation Hardened Circuits in Multiple Harsh Environments
Authors: Adupa Chakradhar , Chandhra Prakash T , Ramchandar Rao P. , Tarun Kumar J. , Rajendra Prasad Ch. 
Published: December 2020

Abstract
Semiconductor electronic devices and Circuits most of the times there is a possibility is that they will be exposed to the harsh environments where they may exposed to ionization radiation environments and due to that the circuits may get malfunctioned and the total modules of the system may get collapsed so there is need of RADHARD circuits. Usually these RADHARD circuits are used in nuclear reactors And Space Application circuit Modules as well as in the device internal modules where the circuits should run without any functional Interruption due to the ionization Radiation Effects. Actually RADHARD is a Procedure of Designing a electronic circuit Such that, the circuit Will Function in ionization radiation affected areas Without Fail. Even when any sort of Ionization Effects are Present there. we preferably design these kind of Circuits Because there is a huge need of these circuits to work accurately and efficiently for the modules which we design especially in Nuclear Power Plants And Space Equipments Space Crafts, Military Aircrafts, Satellites, Nuclear Power Plants, And Nuclear Power Weapons, etc.. Because in these applications the electronic circuits are most of the times effected by Ionization Radiation.
Cognitive User Mobility Using Cooperative Spectrum Sensing
Authors: Sandeep Kumar V , Juluru Tarun Kumar , Ramchandar Rao P. , Ravi Kiran K 
Published: December 2020

Abstract
The shadow effect and multi-path can be partly eliminated by the cooperative spectrum sensing. At present research on cognitive use based on cooperative spectrum sensing is in static state, the cognitive user mobility is affected by the cooperative spectrum sensing performance. The mobility of the cognitive user is considered in this paper and a dynamic cooperative spectrum sensing model is put forward based on the centralized spectrum sensing. It shows that PU is static and other cognitive user travelling in a straight line at varying velocity in the model. From the simulation results it is observed that dynamic cognitive user cannot cooperative with the static cognitive user spectrum sensing by fusion rule.
Smart Traffic Junction Using Raspberry Pi
Authors: Mahesh Kumar G. , Kumaraswamy Eelandula 
Published: December 2020

Abstract
In present situation, use of vehicles is rapidly increasing all over the world, particularly in urban areas. In the recent years, the numbers of vehicles on roads are arising at an exponential rate. This increase is accomplished by the road accidents and signal jumping is the major cause. In future, a traffic control system of smart features is an important issue as the people using the road increase and the existing resources and infrastructures are narrow. An intelligent traffic control system is designed to overcome the increasing demand of all these essentials. A system should be designed to optimize the control of traffic. This paper will express the improvement of traffic reduction largely in a city. Management of traffic is a sturdy case. With several junctions, the difficulty enhances as the traffic state increases. By redefining the threshold values for a real time application, an excellent way of improving the traffic is proposed. By using RASPBERRY PI controller performing the processing of real time data obtained from sensors, Smart traffic junction using Raspberry pi based light control system is implemented as key role. This concept is that incoming vehicles at a traffic junction is outfitted with a retractable barrier. When there is red light at the traffic junction, the barrier rises and widely blocks the incoming vehicles and when there is green light at the traffic junction, the barrier retracts. Thus, this project will control traffic on four-way roads based on traffic control barriers. With this system, there will be less traffic jams, emergency vehicles will reach the destination in time and the country will be developed. So, this intelligent system will help us to control traffic in more autonomous way.
Acid resistance behaviour of Binary blended Geo-polymer Mortar
Authors: Poongodi K , Saravanan R , Murthi P , Shyam Sundar G , Gobinath R 
Published: December 2020

Abstract
An investigation on the impact of blended combination using Ground granulated blast furnace slag (GGBS) and Metakaolin (MK) in geopolymer mortar was carried out and presented. The geopolymer is a new generation green binding material and it has replacing total cement usage. Sodium silicate and sodium hydroxide were utilized as alkaline activator solutions for the development of geopolymer mortar and maintain the rati between the solutions as 2. The sodium hydroxide solution molarity was maintain as 8M. The GGBS was replaced with MK from 0% to 100% with the increment level of 20%. The strength and acid resistance behaviour of blended geopolymer mortar were investigated under ambient curing condition. The results obtained from this investigation indicated that the 60% replacement of GGBS by MK produced higher compressive strength and lesser absorption behaviour in addition to the higher resistance to the acid attack.
Strength Properties of Bamboo Fiber Reinforced Concrete
Authors: Kumarasamy Karthikeyan , Shyamala G , Gebreyowhanse Haftom , Kumarasamy  
Published: December 2020

Abstract
A comparative study of the experimental results of the properties concrete with variable percentage of ratios natural fiber with Concrete. The Bamboo was used in structural element like supports, columns, roofs etc. and in the construction of the building. For the construction work concrete is used as the basic materials. The concrete is strong in compression but fragile in the tensile strength. It has become involved in making concrete using natural materials. Bamboo fibre with high tensile strength is expected to contribute significantly to quick growth, large growth distribution and low-cost earthquake-resistant construction and seismic retrofit skill. This thesis explores the mechanical properties of reinforced concrete made of bamboo fibre. In order to study the basic concrete properties such as compressive power, split tensile strength, this research was carried out to study the basic concrete properties such as compressive strength, split tensile strength and Flexural strength by adding in volume of concrete at 0%, 0.5%,1.0%,1.5%,2.0% and 2.5% with concrete and finally the results were compared with conventional concrete and bamboo fiber concrete.
Experimental Investigation on Conventional Rebar RC Column with Non-Conventional Prefabricated Cage System
Authors: Gurumoorthy N , Rajesh Kumar K , Sivakumar S , Chandana P , Vinod Kumar M , Vandhiyan R 
Published: December 2020

Abstract
A new steel reinforcement is recommended in the name Prefabricated Cage System (PCS) in the column. PCS is a non-conventional prefabricated cage reinforcement system that allows for simpler, quicker and more durable construction which can be utilized in Reinforced Concrete (RC) columns to replace traditional longitudinal and transverse steel. Besides having alike or greater strength correlated with the traditional reinforcement given in columns, the PCS decreases the construction schedule time and reduces the overall construction expense. The PCSwas manufactured through punching or cutting hollow steel tubes or plates by perforation, and PCS costs are often almost equal to traditional rebar reinforcement. The construction time can be greatly decreased by using PCS. In this article, instead of two types of traditional rebar reinforcements, two types of perforations were used in PCS reinforcement. Comparative research was performedfor the columns under axial loading among the PCS reinforcement and the traditional rebar reinforcement. Test results showed that the axial load carrying capacity of PCSspecimens was comparable or superiorto that of conventional reinforced concrete columns.
A Comprehensive Review on the Transmission System of Electrical All-Terrain Vehicle
Authors: Vamsi GDS , Sheriff Mohammed Ajmal , SilvisterRaju John 
Published: December 2020

Abstract
The purpose of this study is to explore the differences between the traditional or gasoline All-Terrain Vehicles (ATV) and the electrical ATVs. From the previous researches, it is evident in recent decades that electrical vehicles are environment-friendly and do not produce polluted gases to the environment. The research provides important insights about electrical vehicles and advantages over gasoline-powered ATVs. The paper highlights the use of electric motors with different types of batteries and strengths that make electrical ATVs highly effective as a “low performance” vehicle for simple activities. With the extensive literature review and comparative analysis, the paper indicates important findings that the transmission or the power drive system enhances the performance of the motor due to the use of a differential gearbox. The paper concludes that electric motor delivers better load resistance and effective performance.