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Light-reflecting characteristics play a crucial role in optically rewritable liquid crystal display (electronic paper). By using a special optimizer software, light-reflecting characteristics of the twisted nematic cell were calculated. The achieved values of the normalized reflection coefficients range within ∼ 0.03 - 0.43, which is comparable or better than other commercial technologies. The calculated contrast ratio of the device is 10 : 1. A 2D image, which can be displayed on the electronic paper was obtained. Comparison of the simulated background color and contrast ratio is very similar with the results, which were obtained in experimental cells of other studies. Our calculations indicate that angular dependence of the reflectance coefficient is almost uniform within a wide range of viewing angles.

Paper artifacts are contaminated by external factors in the process of preservation such as foxing. For the problem of backward technology of rapid detection of foxing on paper artifacts, a method based on hyperspectral imaging technology is proposed to detect foxing spots on paper artifacts. After selecting the region of interest and obtaining the corresponding average reflectance, the difference in the average reflectance is found after comparing the healthy regions with the diseased regions. Using band operation and minimum noise fraction to observe the characteristics of foxing image, although there is overlap in different parts, the distribution distinction between moldy and healthy regions is obvious; K-nearest neighbor method and BP neural network are applied to establish the spectral discrimination model of paper artifacts with foxing spots, and the overall discrimination rate of the two methods is 73.3% and 85%, respectively. The results show that hyperspectral imaging can be used for the identification of foxing spots, but the distinction between different parts is not good, and the discrimination effect still needs to be improved.

In Today’s world technologies such as Internet of Things, Cloud Computing as well as Fog Computing are growing at an exponential rate which depend upon each other directly or indirectly. The Internet of Things can be described as a network of substantial matter such as cars, washing machines, refrigerator which can interact with each other through internet. Billions of devices will be IoT enabled in near future and generate enormous amount of data but IoT devices has some limitations like storage capabilities, processing capabilities and utilization of resources which can only be handled by integrating it with cloud technology. Cloud model provide environment in which software, Infrastructure, sharable pool of configurable resources, virtual environment, sensors, hardware and database is provided as a utility for IoT devices and users. In cloud computing paradigm some limitations exist for example distance of the data source from multi-hop, geological unified structure, latency, heterogeneity and many more. To address such limitations, Fog computing approach can be used to bring computing assets nearer to IoT devices. Fog computing is an enhancement of the cloud-based Network and computing services. It provides computational and storage services of cloud proximate to IoT devices. This paper provides an overview regarding the cloud computing uses in IoT devices and issues or problems that occur during integration. Handling of problems that occurs during integration of cloud with IoT can be done through fog computing. The purpose of this survey is to understand the concept of fog computing to improve the existing system of Integration of Cloud with IoT.

Wireless technology these days is very quickly becoming crescent. A network that was recently wired to get online was required. Just wired phones have been a thing of the past. In the past four decades, mobile networks have thrived immensely. The starting point was the 1G cellular concept where ‘G’ stances for generation linkages. This had fully developed very rapidly, generating 1G, 2G, 3G and gradually transferring into 4G from generation to generation. And now people are utilizing the 4G networks. 5G network will nearly stretch its wings to conquer this complex world of cell technology. Integrated 5G work is continuing, with complete service planned in 2020. The development of 5G technology is the perfect solution for the many problems facing us today with today’s innovations. 5G will become an intelligent technology that will limit to a single global uniform body the number of different innovations. This paper is mostly about the evolution of mobile wireless networks like 1G and 5G as well as how they vary and their benefits and drawbacks.

This paper is based of policy to diversify energy from renewable energy, one of the types of renewable energy is biodiesel. The purpose of this paper is to explain the water content in biodiesel with palm oil added, and the water content in biodiesel with coconut oil added, and compare the water content of the two types of biodiesel. The type of research used is the research and development method, testing the water content of the biodiesel at the Sucofindo Padang Laboratory and the Pertamina Padang Laboratory. The results showed that the water content of biodiesel with palm oil had a lower water content compared to biodiesel with coconut oil. Referring to the provisions of the Indonesian National Standard (SNI 7182:2015) that the water content in biodiesel is 0.05% as the maximum limit, while referring to Gaikindo (Association of Indonesian Automotive Industries), the maximum water content in biodiesel is 0.020% to 0.025%, then biodiesel B5, B10, B15, and B20, with palm oil added, and biodiesel B5 and B10 with coconut oil added as fuel can be used for diesel engines.

This study focus on the removal of textile dyeing effluent by analyzing the physio-chemical parameters such as color, turbidity, pH, Chemical Oxygen Demand (COD). Activated carbon is used for removing color from the wastewater collected from silkworm textile industry, Bishnupur, West Bengal. We have used activated carbon made with coconut shell which is ecofriendly and low in cost. The results of the analysis were compared with the water quality standards of BIS (Bureau of Indian Standard) for further application of the treated water in agricultural field. Also, this paper included the case study on textile dyeing industry in Bankura district, West Bengal, India and its impacts of pollution load in the environment.

Biomass-based energy conversion and storage applications have proven to be the most effective technology for practical and sustainable applications. However, their further development was hindered by poor electrode performance. Naturally, abundant biomass is a green alternative carbon source with many desirable properties. This study presents a relatively easy approach for the synthesis of activated carbon-based electrode materials derived from natural biomass with an emphasis on supercapacitor applications. The selected biomass waste is Longan leaves. The precursor was converted into activated carbon through ZnCl2 impregnation at three different concentrations in high-temperature pyrolysis. All activated carbon confirmed a good amorphous structure. Furthermore, oxidative compounds were also found to have an effect on their electrochemical properties. supercapacitor cells prepared in a two-electrode system exhibit high electro-capacitive properties with a specific capacitance of 169.83 F g−1 at a constant current density of 1.0 A g−1 in an aqueous electrolyte of 1 M H2SO4. Furthermore, the optimum energy density was found in LF0.5 samples as high as 19.04 Wh kg−1 at a maximum power density of 124.37 W kg−1.

This study aims to assess the overall performance of a membrane bioreactor and reverse osmosis membrane for the treatment of textile effluent as well as to investigate their ability in meeting the water reuse standards. The laboratory-scale MBR-RO units were fed with textile wastewater, and the MBR effluent performance was evaluated through water quality for the parameters like total suspended solids (TSS), chemical oxygen demand (COD), and colour. The results reveal that the MBR system yields good quality permeate water. We obtained 99%, 90.3%, and 82.5% (average) reduction of TSS, COD, and colour, respectively, with this system. Moreover, the MBR technology is highly effective for pre-RO treatment. We also studied the impact of pressure and temperature applied to the RO membrane on the efficiency for eliminating TDS, COD, colour, and the permeate flux. The results demonstrated that the applied pressure positively affected while the feed temperature negatively affects the overall removal efficiency. This study confirms that the feed temperature, besides pressure, have a positive effect on the flux for an RO system.

Textile is one of the important industry. Conversion of fiber to fabric takes place which involves many process and synthetic chemicals. The fabric is then dyed or printed, fabricated into clothes. The extraction of dyes from the wastewater industry becomes a worldwide issue. Water contamination due to industrial discharge is the big threat to the environment. Hence an attempt was made in this study to treat textile wastewater using natural anionic polysaccharide sodium alginate as adsorbing agent. The optimum condition was obtained by varying dosage, pH, flow rate and depth of beads for varying contact time. For optimum conditions, the textile wastewater was analyzed. Results showed 32%, 56% and 75% removal of sulphates, alkalinity and nitrates respectively. Hence sodium alginate proved efficient in treatment of textile wastewater.

This study attempts to apply the concept of sustainability by reducing the environmental pollution of plastic waste, especially Polyethylene Terephthalate (PET) that are used in production soft drinks bottles. The plastic bottles were collected, roughened) Roughen the surface by using a metal clip after exposing it to heat, and then place it on smooth surfaces) and shredded into fibres of specific size and shape with an aspect ratio (L/D) of 34.5. Various proportions of PET (i.e. 0.5, 1.0, and 1.5%) have been used in the production of ordinary concrete. The influence of PET fibers on the properties of concrete was studied, such as workability, compressive and splitting tensile strengths. Furthermore, the shear characteristics of continuous reinforced concrete deep beams with dimensions of (150×300×2000) mm produced from such concrete were also investigated. For all percentage of replacements, The fresh property, compressive strength, and tensile strength of PET fibre encapsulated cement concrete were investigated. With the addition of plastic fibre, compressive strength increased marginally, but tensile strength measurements showed a substantial improvement over the control specimen. it has been found that there was an apparent impact of waste plastic fibers on the structural behavior of the investigated beams in terms of its brittleness. The increase in the ultimate load capacity With the increase in the percentage of fiber until a percentage(1%), then it begins to decrease after this percentage of continuous deep beams refers to the use of waste plastic fibers to improve the tensile properties of concrete and to limit the spread and width of cracks within the structure.

To treat domestic sewage with high efficacy and low cost, the technology of shortcut simultaneous nitrogen removal was used with a new biofilm reactor. The influences on nitrogen removal effect by start-up procedure, nitrogen transformation characteristics and main factors (hydraulic retention time, dissolved oxygen, carbon-nitrogen ratio) were analyzed. The results indicate that: The reactor finished start-up of shortcut simultaneous nitrogen removal in 14 days of cultivation time after the biofilm cultured in the carrier. The ammonia nitrogen removal rate, simultaneous nitrification-denitrification rate and cumulative nitrite nitrogen rate respectively reached 91.3%, 82.7% and 63.4% in the last phase of start-up procedure. To remove ammonia nitrogen with the technology of shortcut simultaneous nitrogen removal efficiently and steadily, hydraulic retention time, dissolved oxygen, carbon-nitrogen ratio should be controlled in 3.56 hours, 1.5 mg/L and 5~8.

Wastewater of textile industry containing any pollutants, turbid and strong color appearance. Electrocoagulation (EC) is a wastewater treatment alternative, which are some factors: distance of electrode, voltage application, and time operation. This research was determined the optimum voltage density and flow rate by continuous system EC. The couples of Al electrode was immercing in the EC chamber by various distance: 1, 5; 3.0; 4.5; 6 cm, and applide 18 volts. The wastewater was passed to the EC chamber by ascending in varieous flow rate: 1, 0; 1.5; 2.0; 2.5 mL s−1. The product was evaluated according to the regulations PermenLH RI no 5/2014, including: COD, TSS, pH, DO, Conductivity, and Al concentration. The result optimum voltage density application is 12 Vcm−1 (18 volts/1.5 cm), and a flow rate 1 mL s−1. COD Removel is 91.80% (1.683 to 138 mgL−1; fulfil the regulations), TSS removel is 87.83% (937 to 114 mg L−1, (not fullfil the regulations), color degradation is 83.98% (239, 14 to 38, 31 mgL−1 PtCo). The others are pH increase in the range of tolerant, DO increase up to 8, 2 mg L−1, Conductivity increase up to 5350 μs cm−1, and Al increase up to 2, 71 mgL−1.

Plasma Dielectric Barrier Discharge (DBD) can be applied to degrade textile wastewater. In this study, a DBD plasma reactor was composed of two electrodes of stainless-steel mesh as the outer electrode and Cu wire as the inner electrode with pyrex glass as the dielectric barrier. The electrodes were connected to an AC voltage of 3.07 kV. As much as 1500 ml of textile wastewater has flowed continuously into the system. Variations time of treatment were 0, 30, 60, 90, and 120 minutes. Physical parameters of textile wastewater such as pH, total dissolved solid (TDS), and absorbance were measured before and after treatment to determine the effect of plasma. As a result, the highest degradation efficiency of 54.29% was obtained after treating the textile wastewater for 120 min.

Light via our eyes influences visual performance, visual comfort and visual experience, but also affects several health related, non-image-forming (NIF) responses. New metrics have been developed to quantify the NIF effects of light. In order to incorporate these in lighting design practice, simulation tools are required that are able to process information about the spectral distribution of light sources and materials. However, most of the tools currently used for daylight and electric light simulations simplify the spectrum into RGB (Red, Green, Blue) colour values. This paper presents an overview of the currently used programs for simulating the NIF effects of light in building design and discusses the possibility of using existing spectral rendering software as an alternative. A review of literature shows that mostly Radiance or Radiance-based programs have been used so far, but new user-friendly tools could employ existing spectral rendering tools. As the NIF effects of light gain greater importance in lighting design, new simulation workflows are needed. This paper aims to support the development of future workflows by presenting the current state-of-the-art.

The paper is devoted to experimental study of heat exchange and pressure drop of channel with various geometry twisted bands. The studies were carried out in the range of operating modes parameters of the nuclear power units’ heat exchange equipment. The three different designs of intensifiers are presented in the paper. The values of heat transfer coefficient and pressure drop are obtained. The dependences of the Nusselt number (Nu) on the Reynolds number (Re) were calculated. The comparative analysis of intensifiers is made. The efficiency factor was also calculated on experimental data. The most optimal geometry form of intensifier was selected.

Under the pressure of energy and environmental protection, we will promote the technological progress and demonstration of electric vehicles, and the construction of charging facilities will continue. Charging facilities planning and orderly charging, as two major research directions of electric vehicle infrastructure, are of great significance for the future development of electric vehicles. The optimal charging of electric vehicles can effectively improve the safe and economic operation ability of distribution network, which is of great significance to its safe operation. Therefore, this paper proposes the outsourcing test experiment and processing of urban electric vehicle public charging network based on 5G and big data. In this paper, through the analysis of the development status of urban electric vehicles, this paper proposes to optimize the charging mode of electric vehicles by combining the charging network forward and backward algorithm. In the outsourcing test experiment, the electrical safety test shows that when the current reaches 1.1-37.1kw: 5000A, when the power factor is 0.8 ∼ 0.9, when the short-circuit current impact is tolerated, the connection device will not affect the breaking operation by contact fusion welding, and the insulation protection will not be invalid. Through investigation and analysis, the satisfaction degree of electric vehicle optimization algorithm is increasing year by year. Through the analysis of the test results, the research in this paper has achieved ideal results and made a contribution to the research of urban electric vehicle public charging network.

The use of georeferenced information system and Light Detection and Ranging (LiDAR) data in combination with traditional data analytics tools is very promising in urban scale engineering and especially in energy urban planning. This paper explores the use of new DH networks for industrial waste heat exploitation and for that purpose, a case-study in Vitoria-Gasteiz (Spain) is proposed. The methodology explained in this paper explores the incorporation of data from industrial emplacements, buildings and road network in order to identify optimal areas in the city for the construction of a new district-heating network. An area of influence of a buffer of radius 1.5km from the industry location is defined and the proposed algorithm divides this area into grids of different sizes. The path for the network is calculated by optimizing the economic performance of the network. The results show that the district-heating may be built in the south-west direction from the industry and among the 40 configurations studied, payback periods from 6 to 8.5 years are obtained.

Full power converter wind turbine is the main type of wind power, so the simulation calculation needs to establish accurate model parameters. This paper analyzes the model structure of PSASP program according to its low voltage ride through control and physical characteristics, and puts forward the parameter identification method of LVRT characteristics of full power converter wind turbine, and to use the LVRT data of 5. 5MW unit for parameter identification and simulation verification. This paper proposes that the electromechanical transient simulation can ignore the part of the generator model of the full power converter wind turbine, and simulates the grid side converter with the controlled current source. The main characteristics of LVRT are determined by the control system of the converter. In order to do the parameter identification, it is necessary to calculate and analyze the control characteristics of multiple measured data. First, determine the control mode, then determine the control parameters to complete the parameter identification. In this paper, the modeling conditions and model structure of the full power converter wind turbine are confirmed. The correlation between the parameters during the LVRT fault and the parameters during the LVRT recovery period and the LVRT characteristics is analyzed. In this paper, a parameter identification method is proposed to analyze the active current and reactive current during the LVRT fault, which has strong physical significance and operability. Based on the actual LVRT characteristics of 5. 5MW wind turbine, the parameter identification and simulation are carried out to verify the correctness of the method.