bluuebunny/crossref_metadata_2025_split huggingface dataset:
Realising the ASEAN power grid through unbundling: takeaways from the Philippines’ and Singapore’s experience
Authors: Aris Hazleen , Jørgensen Bo Nørregaard 
Published: April 2020

Abstract
The ASEAN Power Grid (APG) is a flagship initiative mooted in 1997 to strengthen and promote power interconnection and trade in the ASEAN region. The ultimate aim of the APG is to ensure energy security and sustainability in the region, particularly the electricity. One way to achieve this, as demonstrated by the Nordic countries, is by having a regional electricity market, on top of the physical interconnection of the grids. Thus, taking the cue from the Nordic region, a pre-requisite to the regional electricity market is the liberalisation of the electricity supply industry (ESI) of each of the ASEAN member countries. Although there is no one-size-fits-all solution to the establishment of the regional electricity market, liberalisation of the ESIs can potentially be the path for the ASEAN countries too, with the necessary modifications and localisations in place. Furthermore, ESI liberalisation or unbundling is not entirely new to the ASEAN countries. Nine out of the ten of its member countries have implemented unbundling, although the degree of implementation varies. To date, two ASEAN countries have unbundled their ESIs fully, namely Singapore and the Philippines. However, the two countries underwent different experience in liberalising their ESIs. While it was a ‘bumpy ride’ for the Philippines, Singapore had a smoother and more orderly transition. As such, deliberation of their experience in liberalising their ESIs would provide good insights for the other ASEAN countries to consider in liberalising their ESIs, should it become the direction. This paper therefore presents a brief overview of the Philippines’ and Singapore’s experience in their transformation towards liberalised ESIs with the aim to identify the good practices, the challenges as well as the lessons learnt from these transformations. Findings from the study show the importance of the governance and legislative framework to instate reform, as well as the gradual introduction of the reform moves. This is especially necessary as the lack of homogeneity and harmonisation of the regulatory framework and ESI structure of the ASEAN countries was found to be amongst the barriers towards the full realisation of the APG.
Simulation for CO2capture using tubular dual-phase membrane module
Authors: Yee Liow Ju , Lai Li Sze , Tay Wee Horng 
Published: April 2020

AbstractDual-phase membrane is a newly developed membrane that is capable of capturing carbon dioxide (CO2) from flue gas at high temperature up to 823 K. To date, the researches on CO2capture using dual-phase membrane are performed experimentally. However, the gas separation performance of the scale-up tubular dual-phase membrane module is scarcely studied. Therefore, the potential application of the dual-phase membrane module remains as a challenge. The design of membrane module and its implementation in actual operating conditions can be analyzed beforehand by using Computational Fluid Dynamics (CFD) simulation. In this paper, the hydrodynamic profile of the gas flowing inside a tubular dual-phase membrane module was studied to investigate its potential for industrial application. CFD simulation of gas mixture consisting of CO2and nitrogen (N2) that flowing through the membrane module was performed at 823 K. Among the parameters investigated are the absolute pressure, concentration of CO2and gas velocity within the tubular membrane module. The inlet mass flow rate was set at 0.00448 kg s−1and the total volume of the membrane module was 0.031 m3. Based on the simulation, 0.09 bar of pressure drop was observed when the feed gas stream passed across the membrane zone to the outlet zone. There was about 86 % of CO2recovery with the CO2concentration decreased from 20 mol % to 3.3 mol %. Besides, the membrane stage cut was around 0.17 with 83 % of the gas leaving the membrane module at the retentate side. The simulation results give reliable statement over the separation efficiency of CO2and flow pattern in membrane module. The scale-up performance of single membrane module has been predicted through the simulation based on the experimental data.
Iron oxide decorated graphene oxide embedded polysulfone mixed-matrix membrane: Comparison of different types mixed-matrix membranes on antifouling and performance
Authors: Chai P.V. , Mahmoudi E. , Mohammad A.W. , Choy P.Y. 
Published: April 2020

AbstractPolymeric membrane is widely adopted for water treatment due to its stability in thermal and chemical resistance, smaller footprints and relatively low cost. However, polymer membrane always suffers the poor performance due to its hydrophobic nature. In the recent years, nanomaterials were introduced into membrane matrices to increase the hydrophilicity. In this study, three different types of nanomaterial, iron oxide (Fe3O4), graphene oxide (GO), and iron oxide-decorated graphene oxide (Fe3O4/GO) were embedded in the polysulfone (PSf) mixed-matrix membranes (MMM). This study investigated the effect of three different nanomaterials on the membrane characteristics, performance, and antifouling properties. Membrane characterization, performance, and antifouling was carried out by pore size, porosity, contact angle analysis, zeta potential analysis, flux measurements and flux recovery ratio respectively. First, GO, Fe3O4and Fe3O4/GO nanomaterials were synthesized using Hummers method, co-precipitation method, and co-precipitation method in the presence of GO. After that, membranes were fabricated using phase inversion method. In this study, Fe3O4/GO-PSf MMM (76.35%) and GO-PSf MMM (64.39%) showed enhanced porosity as compared to the pure PSf membrane (56.89%) due to the presence of abundance hydrophilic group in GO nanoplates. However, the Fe3O4-PSf MMM show slightly lower porosity (53.82%). Contact angle analysis also revealed that Fe3O4-PSf MMM (71.47°), GO-PSf MMM (69.17°), Fe3O4/GO-PSf MMM (69.97°) showed improved hydrophilicity as compared to the pure PSf membrane (78.80°). Experiment also demonstrated that all the MMMs exhibit higher negatively surface zeta potential as compared to pure PSf membrane. The membrane performances were investigated using pure water flux and congo red (CR) dye removal. Study showed that Fe3O4/GO-PSf MMM give the best membrane performance with the flux of 112.47 L/m2. h and CR dye removal of 97%±2. Fouling analysis reveal that all MMMs exhibit high flux recovery ratio (>80%) as compare to pure PSf membrane.
Crucial factors in shaping strategies for Thai energy business in the dynamic era
Authors: Nakapreecha N , Pongthanaisawan J , Wangjiraniran W 
Published: April 2020

Abstract
In an era of rapid change, adequate strategy formulation is crucial to an organization, not just to overcome obstacles but to thrive in the business sustainably. To survive in the dynamic environment of the energy business, strategy formulation for energy enterprise need to consider various potential factors, together with their impacts. This includes social factors, innovation and technology factors, economic factors, environmental factors, as well as government policies and directions. The strategy formulation must be based on accurate and sufficient data, which indicates a level of impact and their uncertainties that may occur in the future. This paper presents analytical sets of key challenges, drivers, and critical uncertainties, which are expected to have significant impacts on the Thailand energy business in the next 30 years. The research starts with examining the global energy situation and challenges for the Thai energy business. The sustainable development goal is defined as a key decision focus at this step. Next, the STEEP analysis is employed to evaluate the impacts of factors on the energy business ranging from social factors, technology factors, economic factors, environmental factors to political factors. Foresight workshop with stakeholders is arranged to identify critical uncertainties. The result will be beneficial to both government and private enterprises in designing appropriate energy strategies.
Multi-criteria assessment of energy sector nationally appropriate mitigation actions in Sri Lanka
Authors: Sugathapala Thusitha 
Published: April 2020

Abstract
Sri Lanka has shown its commitment for greenhouse gas mitigation by publishing nationally determined contributions. Key share of mitigation targets is from the energy sector, amounting to about 40 Mt CO2e during 2020-2030. 52 mitigation options (MOs), referred to as nationally appropriate mitigation actions (NAMAs), were identified with a total mitigation potential of 75 Mt CO2e. Globally, the commonly used methodology for prioritization of NAMAs is the marginal abatement cost (MAC) analysis. However, this approach has received criticism over the effectiveness due to its inability to consider other important aspects such as barriers, enablers and co-benefits. The present study proposes a multi-criteria assessment (MCA) methodology involving more comprehensive characteristics of MOs and use of sustainability criteria/indicators to broaden the applicability of MAC analysis. The proposed methodology involves a stage-wise evaluation in three levels. Firstly, MOs identified are pre-screened based on technology maturity and information availability as indicators for chance of success in implementation. Among 52 MOs, 38 qualified for the next assessment level. These MOs are then undergone screening, where MAC and mitigation potential are combined with a scoring system together with a prescribed benchmark value as a qualifying criterion. Accordingly, 31 MOs are qualified, which represent a total mitigation potential of 62 Mt CO2e.Finally, at third level, indicators in relation to barriers, enablers and co-benefits are used to derive an overall score of MCA. The results of MAC and MCA analyses are used in conjunction to prioritize MOs under three appealing levels as 07 highly, 14 moderately and 10 least, with a total mitigation potentials of about 17.1, 32.4 and 12.8 Mt CO2e, respectively. Accordingly, the 21 high and moderate appealing MOs could contribute to the NDC targets. It is concluded that MCA methodology proposed is a sound approach in prioritizing MOs.
Magnetite activated carbon/chitosan composite from biomass for removal of diclofenac in aqueous solution
Authors: Yoong Yee How , Chong Woon Chan , Chung Ying Tao , Teoh Hui Chieh 
Published: April 2020

Abstract
Diclofenac (DCF) is a type of micropollutant from pharmaceutical waste which brings adverse effect to the aquatic environment if the wastewater is not well-treated. The impregnation of biopolymer on activated carbon has recently gained increasing attention to improve the removal efficiency of micropollutant from wastewater. Magnetite rice husk activated carbon/chitosan composite (MACCS) with high adsorption capacity was developed in this study by modifying rice husk activated carbon (RHAC) with iron oxide (Fe3O4) nanoparticles and cross-linked with chitosan. The adsorption performance of the synthesized MACCS was compared with rice husk activated carbon (RHAC) and magnetite chitosan (MCS) for DCF removal from aqueous solution. The physical and chemical properties of the synthesized biosorbents were investigated via scanning electron microscopy (SEM) and Fourier-transform infrared spectroscopy (FTIR). MACCS was identified as the best performing biosorbent and its DCF removal ability was further tested in batch with different parameters. The parameters reported in this study were solution pH and the synthesis ratio of activated carbon and chitosan. The most effective adsorption of DCF with MACCS was achieved at solution pH of 2.5 and activated carbon to chitosan ratio of 1:2. In acidic condition, the perfect coating of chitosan which contained abundance of amine group attached on the RHAC with high porosity had achieved 94% removal of DCF with maximum adsorption capacity of 270 mg/g. Besides, the MACCS could easily be separated from the aqueous solution due to its magnetic property. From the results, the MACCS biosorbent showed its potential to be an excellent alternative adsorbent for the removal of micropollutant from wastewater.
Incentivizing geothermal energy business with G20 collaboration
Authors: Tharom Tabratas , Hadi Hendro Sasasongko 
Published: April 2020

Abstract
Indonesia has an abundance of geothermal energy potential (29 GWe) and becomes the second-largest geothermal power plant installed capacity after the United States. Geothermal is the most reliable renewable energy due to its highest capacity factor. It works as the base load in the electric grid. Unfortunately, the installed geothermal power plant was only approximately 6.3 % in 2018. Although the Government of Indonesia (GoI) has already given and supported in terms of financial incentives, regulation, technical assistance, it could not boost geothermal development significantly. Recent geothermal based electricity generation cost is rising, especially for the greenfield, caused by rising exploration cost could lead to geothermal development unfavorable, especially for affordability policy in Indonesia energy. All the incentives could not yet accelerate geothermal development significantly due to the risk and cost of geothermal exploration. Facing the fact that exploration cost tends to rise over time, G20 collaboration should be able to reduce the risk and cost associated with geothermal exploration with effective incentives. This paper aims to provide solutions and recommendations regarding exploration cost reduction through geothermal technology research and development with an emphasis on cost and risk reduction among G20 collaboration. The proposed incentives are then constructed for Indonesia’s requirement to meet geothermal conditions and requirements from the trilemma energy aspect, especially for geothermal technology to reduce exploration cost and risk. The proposed incentives also deal with human resource development for improvement in learning rates to have better technology adoption and acquisition by using SWOT and Policy Gap Analysis.
Generation of Orthogonal Sequence Sets for M-ary Spread Spectrum Communications with OFDM Modulation
Authors: Xuan Guixin , Zhang Zhenyu , Zhang Bo , Zeng Fanxin 
Published: April 2020

Abstract
The number of orthogonal sequences is a key point of M-ary spread spectrum (MSS) communication system since more sequences mean higher data rate. When orthogonal frequency division multiplexing (OFDM) modulation is used into MSS system, the additional low peak-to-average power ratio (PAPR) property is required due to high power efficiency. Based on the segmentation-shift operation, multiple orthogonal sequence sets with the same size and sequence length are generated in this paper. By combining these orthogonal sequence sets, the number of the generated orthogonal sequences is very large. For any two orthogonal sequence sets, there exists good cross-correlation performance between them at zero shift. In addition to large set size and good correlation property, the generated multiple orthogonal sequence sets possess low PAPR, which is very suitable for OFDM modulation. The generation algorithm of multiple orthogonal sequence sets is provided in this paper, and the corresponding simulation results show the effectiveness of the provide method.
A Research of Instant Survey Based on Typical Scenario
Authors: Cheng Yinchao , Xie Qifang , Ma Yan 
Published: April 2020

Abstract
With the advent of 5G era and the continuous improvement of users’ demands for intelligent services, traditional online research methods cannot meet the survey needs of the communication industry at the present stage. In order to collect user feedback more accurately and improve survey efficiency, this paper proposes an instant survey based on typical scenarios. This method can effectively obtain the most authentic feedback information from users by establishing the intelligent user invitation and accurate questionnaire release of the contact points between enterprises and users in typical scenarios. The research results show that the method in this paper is 3.75 times higher than the traditional online research in terms of user participation, and about 6 times higher in terms of the survey result recovery, which significantly enhances the accuracy of the survey and effectively shortens the survey cycle. This paper introduces the idea of instant survey into the field of communication for the first time, and widely applied to the user survey in the communication field.
Design of Real-time Video Transmission System for Drone Reliability
Authors: Guo Jin , Li Xiaoyan , Lv Zhigang , Yang Yongxia , Li Liangliang 
Published: April 2020

Abstract
The low-latency reliability video transmission system designed in this paper can complete the functions of real-time image acquisition, transmission and display. The system uses Raspberry Pi 3B+ controller as the core; the 500W pixel camera OV5647 module with CSI interface feature is used as the acquisition module to collect image data in real time and perform compression coding processing; adaptive control of image measurement and control data through 4G public mobile communication network transmission. The experimental results show that the reliability video transmission method designed in this paper can achieve low latency reliability transmission of 480P and 720P resolutions. It can ensure low-latency reception of HD images at the receiving end, and the receiving frame rate is stable above 11FPS, which satisfies the system design requirements.
Screen-Camera Communication System Based on Dynamic QR Code
Authors: Liu Wenkai , Wang Biqi , Li Yan , Wu Menglong 
Published: April 2020

Abstract
Screen-camera communication is a new information communication method based on visible light. However, such communication mechanism relies on barcodes to transmit information which suffers a limited capacity and a low communication rate. Hence, we proposed a color multiplexed dynamic QR Code communication system based on mobile devices. Use this method can further improve the communication rates over the system. In our system, a self-defined frame structure has been designed for a better reliability and diversity in the transmission. The experiment results indicated that in the traditional dynamic QR Code transmission mechanism, the real-time communication rate is 150 Kbit/s and the non-real-time communication rate is 300 Kbit/s. While, under the proposed color multiplexed dynamic QR Code communication system, the real-time communication rate can reach 320 Kbit/s and the non-real-time communication rate can reach 900 Kbit/s. After multiple experimental tests, it can transfer text, picture and audio files with no error.
Research on the Sea Surface Waveguide Inversion of Radar Sea Clutters Based on Five-parameter Method
Authors: Zuo Lei 
Published: April 2020

Abstract
In this paper, a method for the formation of the oceanic atmospheric refractive index based on Five Parameters, which uses the power information of radar sea clutter. By comparing the surface waveguides measured in some experimental sea areas in China, the feasibility of this method is verified, which is beneficial to overcome the difficulty of directly measuring the atmospheric refractive index profile under harsh conditions at sea.
Expert System about Remote Support for Rushing to Repair the Damaged Power Equipment
Authors: Yang Xinyu , Lu Liming , Jiao Kaizhe , Zhang Lin 
Published: April 2020

AbstractCombined the theory of equipment battle filed damage and the information technology, the design model about remote technology support for power equipment battle field damage was put forward. The system was composed of site monitor diagnosis, network transmission gallery and the service center of remote technology support. The center of remote damage evaluation was established by using the structure of B/S and ASP + SQLServer2012. The key technologies of this system involve battle field damage data collection, data transmission, expert system and so on. It provides a good foundation for the development of repair technology through research and application of the system.
A Composite Detection Method for Direct GPS Deception Attack
Authors: Hu Kunjun , Huang Yuanfeng 
Published: April 2020

Abstract
On account of the GPS initial technology limitations, it is vulnerable to interference, deception and other security attacks; GPS is widely used. If it is attacked, it will bring very serious consequences. Due to the problem of cost, civil GPS seldom considers how to defend against security attack. Therefore, it is necessary to study a fast and efficient GPS deception signal detection method to resist the attack. By improving the existing detection methods of GPS deception signal, a composite detection method of GPS deception signal is proposed. Based on DOA detection, the detection of signal propagation time difference is added, and the existence of GPS deception signal is judged synthetically according to whether the signal angle of arrival and the signal propagation time difference exceed the threshold value of real signal. The improved method improves the detection efficiency by reducing the calculation times of the signal angle of arrival. By reducing the number of detection signals to improve the detection accuracy of signal propagation time difference when there are more detection signals and less deception signals, thus ensuring the accuracy of composite detection. And subsequent simulation experiments successfully detected direct GPS deception signals, which verified the feasibility of this method for rapid detection of direct deception signals.
Dynamic Update Siamese Networks with Deeper Features
Authors: Tan Jianhao , Tan Shanshan , Yin Wang , Liu Liming , Zhang Siyuan , Wang Yaonan 
Published: April 2020

Abstract
Visual object tracking has been a concern topic these years, and many trackers have achieved good results in various fields. These researches and breakthroughs have made many improvements to solve problems such as drift, lighting, deformation and occlusion. In this paper, we improve the structure of the AlexNet[1] network by designing the three important influencing factors of the receptive field size, total network step size, and feature filling of the twin network. Apart from this, we add a smoothing matrices and a background suppression matrices to effectively learn the features of the first few frames as much as possible. Fuse multilayer feature elements can learn online about target appearance changes and background suppression, and we train them by using continuous video sequences.
Target Tracking Based on Correlation Filter for Scale Offset
Authors: Tan Jianhao , Ma Xiaoping , Wang Yaonan 
Published: April 2020

AbstractExisting scale estimation methods mainly use fixed-size tracking box for target tracking. However, when the moving direction of the target changes from near to far or from far to near, the size of the current tracking box cannot adapt to the scale change. In order to overcome the disadvantage of invariant size of tracking box in the scale change, this paper proposes a scale offset estimation method based on correlation filter by combining the state of previous frame and current frame of the target. Select the scale proposal box in the scale layer, and adjust the position and size of the actual tracking box in real time according to the size of the proposal box, target position and scale offset. In this paper, OTB-100 is used as the dataset. The obtained tracking results show that our algorithm Ours has better tracking performance than the existing others tracking algorithm in scale variation, and it has better tracking effect and stronger robustness in drift and occlusion events.