Volume 8 | Issue 7 |

 Abstract

Smart building is a building with useful and cost efficient through the building elements like structure, services management and systems with their inter relationship. It helps the owners and occupants to realize their goals for cost comfort convenience and safety. Smart Buildings are occupied with telecommunication systems, reduces energy consumption and increase the cheerful and secure its occupants. Smart buildings are the ones which tend to perform better at cost lesser and easier to maintain. It helps in easy and scheduled maintenance of all the equipment or components provided in a building. To manage the energy use effectively smart buildings are very much helpful that energy use pattern of the building is well diminished. Aim is to optimize the building energy use by suggesting and implementing various alterations or equipment in the building and change in user behavior in order to make it sustainable as well as reducing cost of building energy use. Thus the use of components and managed building control systems with technological awareness to create environment which is cheer-full, efficient with secure a cost effective to satisfy the needs while reducing energy and water consumption

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Smart building, smart building components and Analysis, Sustainability

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India harvested 223.089 million tonnes of horticultural produce from 20.876 million hectares of land in the 11thfive year plan. The major crops contributing to it are fruits and vegetables (approx 204 million tonnes from 14.314 million hectares area). Horticulture sector contributing 30 percent to the India�s agricultural GDP from 8.5 percent of cropped area. As the waste utilization technology are adopting in developed countries and the scales of economies of these technologies does follow in Indian conditions due to various factors. Therefore, there is a need for development of cost effective technologies for the production of value added products. Post harvest management of fruits and vegetables provides ample opportunities for value addition besides providing wealth from waste. Its effective utilization helps in reducing the cost of production of crops besides optimum utilization of biomass. A several process technologies used to utilize fruit and vegetables such as drying & dehydration, freezing, fermentation, extraction, etc., are some treatment examples that can be useful to recycling and upgrading waste of fruit and vegetable market.

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Keywords: Horticulture, Post Harvest management, Post Harvest losses, Value Addition, Biomass, etc.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper gives an analytical and experimental investigation on the web stiffened built-up cold-formed columns with batten sheets. Initially, the paper presents the axial compressive test result on 6 specimens under fixed-end conditions. It is shown that the batten sheets have a significant influence on the buckling and ultimate strength of the model under axial compression. The test specimens were also analytically investigated by the finite element program of ANSYS. The test result of finite element analysis is close to test results. The parameter studies were conducted by using the program of ANSYS. In which the effect of increasing height, width-thickness ratio, batten spacing were all investigated and it all concluded that the height, thickness-width ratio, batten spacing contribute to the column strength and mode of failure.

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 Keywords

Cold-Formed Steel, Built-Up Columns, C-Columns, Buckling Behaviour, Web Stiffeners, Battens, CFS Sections, Thin Walled Steel

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Deep learning such as Convolutional Neural Networks (CNNs) are an important workload increasingly demanding high-performance hardware acceleration. One distinguishing feature of deep learning workload is that it is inherently resilient to small numerical errors and works very well with low precision hardware. This paper presents a novel method to double the computation rate of convolutional neural network (CNN) accelerators by packing two multiply-and-accumulate (MAC) operations into one DSP block of off-the-shelf FPGAs (called Double MAC).There are several technical challenges, which we overcome by exploiting the mode of operation in the CNN accelerator. We have validated our method through FPGA synthesis and Verilog simulation, and evaluated our method by applying it to the state-of-the art CNN accelerator. While a general SIMD MAC using a single DSP block seems impossible, our solution is tailored for the kind of MAC operations required for a convolution layer. We find that our Double MAC approach can increase the computation throughput of a CNN layer by twice. In this paper we implement a Multiply Accumulate (MAC) unit based on a modified 8-bit Ripple carry adder which is again replaced by 8-bit Kogge Stone adder (KSA) for a DSP module in order to achieve high throughput. Our evaluation results shows that not only our Double MAC approach can increase the computation throughput of a CNN layer by twice with essentially reduced area, delay and power

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ripple Carry Adder,Kogge Stone Adder,Multiply Accumulate unit, Single MAC unit, Double MAC unit,CNN,Deep Learning

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Creative Commons Attribution 4.0 and The Open Definition

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Network, as a component, plays a very important role in automotive. The main concept of this project involves the communication between different ECU's within the vehicle through the CAN Protocol. There are different components configured in an ECU. Here, in this project NET component covers the major role. The development of the software includes three stages. The developing of the software is based on the customer expectation which is provided in the form of CAN-matrix. First stage involves Implementation or Configuration. The configuration of software is built by the reference of the base software provided by the customer by the use of AEEE tool base. The different layers of AUTOSAR and Bosch specific layers are configured, DBC is created and the application container is generated which contains the final configured software. Second stage is of testing the software. Testing is done on the LABCAR, where the generated application container is flashed and the logs are measured. Third stage involves the reviewing part, where the derived test logs are reviewed in the offline mode using MM6 and Canalyzer tool. Thus the message is communicated to different ECU's through CAN communication protocol.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CAN. AUTOSAR, Electric Vehicles.

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Creative Commons Attribution 4.0 and The Open Definition

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Stress is characterized as "the vague reaction of the body to any request put upon it". Mental pressure may have advanced from a genuine occasion that caused a passionate unsettling influence before. This occasion may have been the untidy separating from a relationship that prompts passionate agony. As the occasion subsides into the past, different conclusions inside the individual mind will in general reason tension and stress. Stress is a mental reaction of the body that happens at whatever point we should adjust to evolving conditions, regardless of whether those conditions be genuine or seen, positive or negative. In brain science, stress is an inclination of tired, dejection, loss of memory, unreasonable annoyance, negative reasoning. It might cause progressively genuine conditions like heart issues. The primary goal of this examination is to discover the contrast among utilized and jobless ladies in their mental pressure. This investigation is illustrative in nature. Accommodation testing strategies were adjusted for choosing the sample. The sample size is 100 (50 Employed women�s and 50 unemployed women�s). In this examination that there is a noteworthy distinction among utilized and jobless ladies in their mental pressure.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

: Stress, Mental pressure, Employed women, Unemployed women, etc.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Recent advances in positioning techniques, small devices, GIS-based services, and ubiquitous connectivity, have enabled a large variety of location-based services able to tailor services according to the location of the individual requiring the service. Location information, however, if on one side is critical for providing customized services, on the other hand, if misused, can lead to privacy breaches. Location Privacy is the serious issue where the location can be easily traced with the given system. In images there will be metadata where it contains all the image details in at. At first the feature extraction will be made using Recurrent Neural Network (RNN) thus the location feature are get known. A dummy location is done with the Pseudo random Function and the metadata location is changed. The user can access only when the access is provided to them. Here the user access can be provided by the authority who they wish to share their location. Our scheme employs an entity, termed Function Generator, to distribute the spatial transformation parameters periodically, with which the users and the LSP(location service provider) can performs the mutual transformation between a real location and a pseudo location. Without the transforming parameters, the anonymizer cannot have any knowledge about a user�s real location. The main merits of our scheme include (1) no fully trusted entities are required; (2) each user can obtain accurate POIs, while preserving location privacy.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Location privacy, pseudo random function, privacy preserving, RNN extraction

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In order to control errors in data transmission through a noisy channel Viterbi algorithm has served as a powerful tool meant for interpreting the conventional codes. It is centred on extreme possibility algorithm for interpreting the data? While coming to hardware implementation of Viterbi algorithm became crucial as it drain large amount of assets because of its complexity. This paper confers the implementation of an efficient VHDL execution of a Viterbi decoder by means of the concept of pipelining to diminish the critical path. There by improving the operating frequency of the design and improving the through put using Modalism and Xilinx ISE tools for simulation and synthesis of modules respectively.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Error correcting code, convolutional codes, Viterbi algorithm, convolutional codes.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Engine drives vehicle by generating power. To generate this power engine need fuel. Imagine a vehicle without fuel is nothing but the piece of iron. Today where automotive world reach it was beautiful journey, this journey consists lots of ups and downs. Modern automotive face lots of challenges, out of all big challenge is �limited fuel source� �Fuel prices� etc. fuel prices rapidly increases now a days. So Automotive world is looking for substitute for fuel energy. For example, Solar energy, Battery energy, etc. A battery vehicle also called E-Vehicle. it is successful outputs of Automotive world over a fuel problem. In conventional vehicle it is easy to determine remaining fuel, you can check in fuel meter on dashboard. Also, Time required to Refill fuel in conventional vehicle is several minutes. however, in electric vehicle it is more challenging to monitor remaining energy and compared to conventional vehicle an electric vehicle needs several hours to refill rather than several minutes. Also, safety, operation, and even the life of the passenger depends on the battery system. Battery management system keep a continue eye on the key operational parameters during charging and discharging for example voltages, currents and the battery internal and ambient temperature. The BMS system would normally estimate and provide inputs to protection devices which would disconnect the battery from the load or charger any of the parameters like SOC, over charge, under charge, high temperature, become out of limits. All parameters are monitor and well manage with using Neural network algorithm will be implemented on MATLAB software for the process

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Battery, Fuel, charging, Neural Network, Temperature, Automotive, Gasoline, BMS

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Internet of Things (IoT) is an interactive environment, which interconnects material things to the internet and provides advance and intelligent services to a wide range of applications. This kind of complex and dynamic system is often susceptible to attack during data transmission and processing. Therefore, it is essential to know the origin of data and to assure that the source is reliable and the integrity of data is maintained during transmission. However, the limitation on the resources and heterogeneous environment brings several challenges for securing the data in the IoT system. Traditional security solution becomes infeasible because of low energy devices in the IoT system. The purpose of this paper is to present a lightweight security solution for the IoT system by using the Received signal strength indicator. RSSI values would be used to generate the link fingerprint. By comparing the link fingerprints values of various nodes on the server, the presence of adversarial nodes in the system can be detected. This method required very less energy in comparison to the other conventional method.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Internet of Things, Security, RSSI, Link Fingerprint

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Creative Commons Attribution 4.0 and The Open Definition