Due to the increasing spread of digital computing, investigation of various number representation systems in the digital field seems necessary. In general, the number representation systems regarding their applications can be classified in two areas: general-purpose and specific-purpose. Binary Digit Residue Number System (BD-RNS) is one of the specific-purpose and optimized number system. In Residue Number System-based systems, how to select moduli set and evaluate its performance is an important issue. The objective of this study is to propose a systemic performance evaluation method for RNS based on the properties of moduli set. By abstracting the inherent properties of moduli sets, such as the complexity of arithmetic units, utilization ratio of dynamic range, parallelism and balance between residue channels, this method can provide advices on moduli set selection and carry out performance estimation before circuit’s implementation.

 The trustworthy power quality has always been a confront to smart gird system operation. It has been established that in spite of many solutions recommended the integration of unified power quality conditioner (UPQC) with smart grid is better option. In this paper, the approaches of UPQC integration are discussed. A model is also suggested in this concern. The proposed model was simulated in MATLAB and the results obtained are also discussed.

Diesel engines that reduce gaseous emissions and the particulate substance have long been considered a major source of air pollution, especially in metropolitan areas, and have long been a major concern to the public. Here, a lot of examine in the ground of tumbling these pollutants while diesel engines came into use. The main emission of a diesel engine are as:- NOx, SOx, CO and particulate matter (PM). Among these pollutants, CO and Sox and part of the particulate matter are reduced by some after-treatment methods, outside the engine, in the catalytic converter, etc. these NOx cannot be oxidized to obtain a clean product. Today, NOx emissions are reduced thanks to selective catalytic reduction. The use of aqueous emulsion diesel as fuel has been a recent field of study in this field. Emulsified water / diesel (W / D) formulations have been reported to reduce NOx, SOx, CO and particulate matter (PM) emissions without compensating for engine performance. In this project, a new type of suspension is organized using the assorted surfactant method, the main concern being its long-term stability. Then, effectiveness and emission tests were performed via the fuel in a water-cooled two-cylinder diesel engine. An outcome that were compare by means of those of diesel and evaluation graph was drawn to notice what are the compensation and disadvantages of using emulsion over diesel.

The wavelet coefficients of certain sub groups convey noteworthy data though the wavelet coefficients of other sub groups don't convey noteworthy data. The sub groups that don't convey huge data need not be encoded. This recoveries critical extra room. Anyway the wavelet changes and converse wavelet changes are perplexing tasks requiring a lot of equipment. In this work a technique to recuperate unique picture from the wavelet coefficients without the utilization of convoluted channels is introduced. One of the strategies to build the picture from the sub groups is to just include all the sub groups. The principle target of this exploration work is to determine proficient VLSI structures, for the equipment usage of the 5/3 DWT, utilizing complex multiplier and improving the speed and equipment complexities of existing designs.

As the current statistics report; depression, anxiety and behavioral disorders are common challenges that teenagers are facing today. Mostly, it has been observed that the only solution feasible found to them is to isolate themselves. This research focuses on the influence of family structure as a cause and cure for teenage problems

Ethanol which is one of the best alternative to fossils fuel as well as Environmentally cleaner, used with other blended fuel or in its own, in different proportions. this ethanol produce many ways like from sugarcane, agricultural waste, corn, etc. Ethanol is widely used as an alternative fuel or an effective additive of gasoline due to the advantage of its high octane number and its self-sustaining concept, which can be supplied regardless of the fossil fuel. As a result, vast study has been carried out to study its effects on engine performance an demission. in this experimental study ethanol- blends Gasoline in a different ratios and as a result shows that, carbon monoxide (co),emitted from exhaust of 4- stroke SI engine lower into environment. i.e. after blends Ethanol-Gasoline mixture emission of carbon monoxide (co) reduces. in this experimental studies Ethanol blends Gasoline have been used in 4-stroke single cylinder SI engine for performance and analysis under full load. In this experimental studies we can measure Torque, Break Power (BP),Break specific fuel consumption(BSFC), Break specific Energy consumption(BSEC),Thermal Efficiency, by using the experimental data. Today transport system is depends upon the fossil fuels specially liquid fuel which are depleting much faster rate than production. Consumption of the fuel is increasing day by day which is affecting the economy of our country. It fuel research is completely based on finding alternative fuel. In This paper the investigation main purpose is to evaluate the performance of the engine and decrease fuel consumption by using alternative fuel on combustion in four stroke SI engine. For this experimental investigation has been conducted on four stroke spark ignition engine, fuel-led with various bland of gasoline-ethanol. Experiment has been conducted ethanolgasoline bland such as E0 (pure gasoline), E5(combination of gasoline 95% by volume, ethanol 5% by volume), E10(combination of gasoline 90% by volume, ethanol 10% by volume), E15(combination of gasoline 85% by volume, ethanol 15% by volume), E20(combination of gasoline 80% by volume, ethanol 20% by volume), E25(combination of gasoline 75% by volume, ethanol 25% by volume), E30(combination of gasoline 70% by volume, ethanol 30% by volume), E35(combination of gasoline 65% by volume, ethanol 35% by volume) and E40(combination of gasoline 90% by volume, ethanol 5% by volume), is used in the study and its effects on break power, specific fuel consumption, break thermal efficiency. In this research comprehensive review of various operating parameters use of ethanol-gasoline blends has been discussed. International Journal of LNCT Volume-4 Issue-20 October -2020 ISSN: (Online):2456-9895 32 Result obtain from the experimental tests has been discussed too. This work investigated ethanol-gasoline blending on the performance, emission of four stroke single cylinder SI (spark ignition) engine, air cooled engine having compression ratio 2.5 is used. The advantages of using ethanol as SI engine fuel include its greenness, renew-ability, higher availability and usability in near future, higher octane number, and biodegradability. Ethanol can be produced biologically from sugarcane, crop residues, cellulose, agricultural biomass, municipal waste etc.

CR (Cognitive Radio) is proposed as a hearty answer for the issue of wasteful range use and handover dynamic. As CR can exist together with existing authorized essential clients, productive conventions are needed to perform range detecting and unused range designation among optional clients. The Cooperative Spectrum Sensing (CSS) technique of CR is actualized and will effectively conquer handover difficulties, for example, vitality effectiveness, range the executives, and information correspondence issues. The primary commitments of the proposition incorporate proposing the helpful transmission convention plot for improving the uplink information transmission and increment the detecting precision of portable terminals as far as both correspondence dependability and battery maintainability. The proposed spectrum sensing algorithm called Cooperative CUSUM performs better than optimal rule based techniques through a single observed spectrum sensing techniques under cooperative networks.

By the side of through the countries of the world; India is a developing country and, as a developing country, its energy needs are increasing every day and to meet all those energy needs that he require finding alternative ways through which we can meet all our energy requests. Therefore, we must move towards green energy sources and among all renewable sources (i.e. wind energy, geothermal energy, tidal energy, solar energy, etc.).The cosmological energy is a large amount favorable energy source as all the available energy is available all the way through the year. Solar radiation from the sun differs based on geographic location. To get the most out of solar devices like as a solar battery, a solar collector; the only need is that they are economic in economic terms; their level of absorption must be high and be readily available. Madhya Pradesh is a state that is located in the middle of India and is in the center, radiation from the sun is quite effective and the atmosphere of India there is dust particles present all the way through the year and dust. There is a factor lying that affects the overall effectiveness of the solar system decreases the effectiveness of a solar panel. A micro-level lesson was carry out to uncover out how dust affects the overall effectiveness of the plant, in particular radiation, which will be directly linked to the consequence of the plate on the photovoltaic solar module that was installed on the LNCT campus for a few months. And suggested how to increase plant efficiency for the months of December, January, February, March 2019 have been recommended.

The main objective of this research paper is to design architecture for radix-4 complex Vedic multiplier by rectifying the problems in the existing method and to improve the speed by using the cyclic redundant adder. The multiplier algorithm is normally used for higher bit length applications and ordinary multiplier is good for lower order bits. These two methods are combined to produce the high speed multiplier for higher bit length applications. The problem of existing architecture is reduced by removing bits from the remainders. The proposed algorithm is implementation Xilinx software with Vertex-7 devicefamily.

Stock price prediction is a critical aspect of financial markets, influencing investment decisions, portfolio management strategies, and risk mitigation techniques. The dynamic and often volatile nature of stock markets presents a challenge for investors and analysts seeking to anticipate price movements accurately. Traditional methods of stock price prediction have typically relied on historical price and volume data, coupled with technical indicators derived from various mathematical formulas. However, these methods may struggle to capture the complexity and non-linearity inherent in financial markets. In recent years, the advent of deep learning has offered new opportunities to enhance predictive modeling capabilities by leveraging advanced neural network architectures capable of learning intricate patterns and relationships in large-scale data sets. This survey paper aims to explore the intersection of technical indicators and deep learning methodologies in the context of stock price prediction, providing insights into the latest research developments, challenges, and future directions in this rapidly evolving field.