Lapdock: Brainless Laptop Prajapati, Shivam
International Journal for Research in Applied Science and Engineering Technology,
07/2021, Volume:
9, Issue:
VII
Journal Article
Open access
Lapdock is based on the idea of providing a variation to our typical laptops and making them more efficient and comfortable to use. It is made up of two words mainly: - lap (seated person’s upper ...leg) and dock (plug or anchor) 1. Lapdocks do not contain CPU of their own and this makes them different from laptops despite their similar appearance. The good thing about lapdocks is that lapdocks do not store any data in them. The devices are powered by using other devices that come with embedded O.S. For example: - Android phones, Raspberry pi etc. As these lapdocks do not contain any fragile part such as CPU or HDDs, it adds to its durability. All you need to do is to connect your intelligent devices to lapdock using a cable such as an HDMI cable and the lapdock is ready to be used. A lapdock is not a typical appliance, but it is the ultimate device and future of laptops. On an average, it is quite rare to change our laptops frequently. Laptops are expensive devices and require a lot of software to be downloaded while purchasing them. For their proper functioning, the software needs to be updated on a regular basis. Along with this, the other devices such as your phones and cameras are also needed to be updated accordingly. Using lapdocks we can get rid of tedious and costly tasks by updating just one device and using it to do our work. It is quite usual for people to change their mobile phones frequently as new and advanced features are launched in the market. With auto update it is easier to keep your phones updated than to update or change your laptop. There can be numerous reasons to change your phones: - phones become slower, crash, the bater might deplete fast, the camera becomes outdated and so on. People require new phones, whether for a new feature, technological development, or merely to modify. So, getting the latest phone is quite common and hence lapdocks are a better option. These devices are durable and need no applications. Infact, they do not require any other technical support so they need not be upgraded or replaced on a regular basis. That is why lapdocks are indeed the future and a workable alternative to owning a single long-lasting item and as a result avoiding obsolete electronic waste.
Emotions play a great role in human lives. Our mind unconsciously notices the emotions of people we meet every day. It interprets the signals people emit through these emotions. It also tries to ...determine how to respond to and deal with people around us. Facial expressions can reveal emotions like happiness, anger, sadness, surprise, fear, excitement, desire, contempt, disgust, confusion and many more. This paper proposes an emotion-based movie and song recommender system that utilizes deep learning techniques for user's emotion detection. It also provides recommendation of movies and songs that match user's emotional state at that time.The emotion detection based movie and song recommender system is a revolutionary system that aims to come up with customized suggestions formed on basis of user's emotional state at that time. It uses advanced techniques of artificial intelligence for emotion detection of user. It then suggests movies and songs that align with their mood. Also, it can help users find latest items that they may not have found by themselves. It leads to a more enjoyable and fulfilling entertainment experience. Additionally, the system has the potential to improve mental health outcomes by providing users with content that can positively impact their emotional state. Overall, the movie and song recommender system using emotion detection is a valuable tool for anyone seeking personalized entertainment recommendations. Our research work focused on using facial expressions for movies and song recommendation to the user. Depending on the expression user reveals at particular moment we can best recommend movies that suit his current mood.
The rise of computation-based methods in thermal management has gained immense attention in recent years due to the ability of deep learning to solve complex 'physics' problems, which are otherwise ...difficult to be approached using conventional techniques. Thermal management is required in electronic systems to keep them from overheating and burning, enhancing their efficiency and lifespan. For a long time, numerical techniques have been employed to aid in the thermal management of electronics. However, they come with some limitations. To increase the effectiveness of traditional numerical approaches and address the drawbacks faced in conventional approaches, researchers have looked at using artificial intelligence at various stages of the thermal management process. The present study discusses in detail, the current uses of deep learning in the domain of 'electronic' thermal management.
The paper presents a framework that realistically simulates a microgrid and forecasts renewable energy and load demand. Electricity spot prices are also forecasted and used by the scheduler to ...optimize the total microgrid cost per day. The energy storage and conventional supplies are coherently scheduled to meet the demand. Forecasting models described here give an excellent insight to choose the appropriate architecture to safeguard grid stability, smooth scheduling, and energy management. Finally, the results help in a better understanding of the functioning of the smart grid system.
Electric Vehicles (EVs) have gained immense attention in recent years due to their numerous advantages as a green alternative to their fuel-based counterparts. Four-wheeler EVs are often expensive ...and not affordable by many people, but a high demand for two-wheeler EVs is being witnessed in the Indian market segment. Due to the novelty of the technology, many buyers in emerging EV markets lack a clear understanding of EV selection compared to their fuel-based equivalents, which have been on the market for decades. Therefore, customers often face difficulties in selecting models for purchase. Moreover, multiple features in EV models further make it challenging to develop appropriate criteria for building a recommendation system. Thus, there is a present need for a robust recommendation system that can rank the best alternative EV. This paper presents a novel hybrid Fuzzy AHP-TOPSIS approach for the ideal selection of two-wheeler EVs, explicitly targeting the Indian Market Segment. In this study, six criteria are selected to judge among eight popular EV alternatives. The Analytical Hierarchy Process (AHP) is employed to find the Fuzzy relative weights of each criterion, while TOPSIS is used to select one of the best alternatives among various similar options. The study would also help to aid low-performing EVs in determining their benchmarks.
Plant Disease Identification Using Deep Learning Prajapati, Shivam; Qureshi, Sarim; Rao, Yashas ...
2023 4th International Conference for Emerging Technology (INCET),
2023-May-26
Conference Proceeding
This paper presents an AI-based plant disease identification system that utilizes deep learning algorithms such as ResNet50, MobileNet, and Inception V3. The proposed system is divided into two ...phases: the training phase and the testing phase. In the training phase, the collected dataset undergoes preprocessing, data cleaning, feature extraction where data augmentation is also applied to prevent the neural network from learning irrelevant patterns, thereby boosting overall performance. Once the dataset is optimized, it is fed to the deep learning algorithm to create a model that can predict the disease of an infected plant. Finally, during the testing phase the model shall be given an input image where distinct unique patterns will be extracted and the prediction would be displayed
We propose a d-shaped photonic crystal fiber (PCF) refractive index (RI) sensor based on surface plasmon resonance (SPR), capable to work in both visible and near-infrared (NIR) wavelength (410–1790 ...nm) region. Gold (Au) is deposited on the flat outer surface of the PCF to excite the plasmons. A thin titanium dioxide (TiO2) layer is sandwiched between fiber surface and gold layer so that the gold nanoparticles can strongly attach with the fiber surface. It also helps to shift the resonance wavelength of the proposed sensor to near IR region which is much advantageous for biosensing. A thin graphene layer is applied on Au to assist adsorption of ample biomolecules on its surface. It also prevents gold from oxidation. Simulation results show the theoretical maximum wavelength sensitivity of 48,900 nm/RIU and average sensitivity of 13112.5 nm/RIU in the RI rage of 1.32−1.40. Besides this, the proposed sensor shows the higher amplitude sensitivity of 738.74/RIU with high resolution and maximum figure of merit (FOM) of 7.604×10-6RIU and 611.25/RIU, respectively. These promising outcomes of the proposed sensor make itself to be a potential candidate for the various analyte (organic chemicals, biomolecules) detection. Moreover, the fabrication feasibility of our proposed D-shaped sensor becomes easier than the circular PCF sensors as it avoids the internal coating of the plasmonic metals.
Full text
Available for:
GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPUK, ZAGLJ, ZRSKP
D-shaped photonic crystal fiber (PCF) sensor in the infrared spectrum is proposed to detect the analytes/liquids of different refractive indices (RIs) ranging from 1.32 to 1.40. To observe the effect ...of surface plasmon a thin layer of gold was deposited on the D-shaped PCF. Then a flake of graphene was deposited on the layer of gold. Graphene improves the detection capability of PCF sensors because of its excellent molecule adsorption property. Its large surface area and rich
π
conjugation make it a suitable dielectric layer for sensing. The proposed sensor is designed and numerically analyzed using finite element method. The thickness of the gold, graphene layer and the diameter of the two large air holes of PCF are varied to study its effect on the sensing characteristics of the proposed SPR-based PCF sensor. It is observed that the sensitivity improved to 33,500 nm RIU
−1
with effective RI resolution of 2.98 × 10
-5
RIU which makes the device more competitive among various plasmonic sensors.
Full text
Available for:
DOBA, EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, IZUM, KILJ, KISLJ, MFDPS, NLZOH, NUK, OBVAL, OILJ, PILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, SIK, UILJ, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
We propose a surface plasmon resonance based D-shaped photonic crystal fiber (PCF) refractive index (RI) sensor in visible to near-infrared spectrum. It is suitable for the detection of ...biomedical/biochemical analytes within the different analyte refractive indices ranging from 1.33 to 1.40. Gold is used as an active metal deposited on the partially removed cladding of the D-shaped PCF. Subsequently, a thin layer of molybdenum disulfide (MoS
2
) is deposited on the gold because it supports intensive confinement of plasmon polaritons with low loss. Further, a flake of graphene is deposited on MoS
2
layer as it provides oxidation resistance to gold and MoS
2
layers. MoS
2
improves the sensing characteristics of the proposed D-shaped PCF due to its high surface adsorption efficiency and excellent band gap tunability. Moreover, the structure parameter such as the diameter of the largest air hole and the thickness of gold, graphene and MoS
2
layer is varied to observe its effect on sensing performance of the proposed PCF. The simulation result showed that the sensitivity was improved and reached to 14,933.34 nm/RIU (refractive index unit) with a high figure of merit and an effective RI resolution of 401.05 RIU
−1
and
6.69
×
10
-
6
RIU, respectively. With such sensing characteristics, our proposed sensor can be a potential candidate in plasmonic sensors.
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