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In recent times, energy storage has been a major concern in the renewable energy sector. Traditional batteries are becoming less effective and sustainable as the world is moving towards renewable energy. Gravity battery, also known as Gravitricity is a new energy storage technology that is gaining popularity in the renewable energy sector. Gravity battery uses excess energy to hoist heavy objects, and when needed, the objects are released, generating energy. This paper highlights the need for alternative energy storage systems and the potential of gravity batteries to address the limitations of traditional batteries. This paper provides an in-depth analysis of gravity battery technology including the need analysis, problem Statement, product producers, advantages, disadvantages, and how it can replace the present batteries in power systems. The paper concludes that gravity battery technology is a promising alternative to traditional batteries and requires further research and development to accelerate its adoption in the renewable energy sector.

Efficiency of Intrusion detection systems-IDS are evaluated using parameters like completeness, performance and accuracy. The first important parameter is the completeness, which occurs when the detection of attack fails. This is the most difficult parameter to evaluate compared to the other two parameters. The second one is performance, which indicates the audit events process. When the IDS doesn’t work properly or works poorly, the real time detection becomes impossible. Legitimate actions are flagged as anomalous which is termed as inaccuracy. This part needs attention to address the inaccuracies. Optimal solutions must take the inaccuracies into consideration for accuracy, thereby efficiency of IDS. There are different trends in IDS. Some of them are discussed below. Behavior and knowledge-based IDS: Misuse detection, appearance-based detection, behavior detection and anomaly detection etc. There are numerous stability and security issues as a result of the Internet’s and computer networks’ rapid proliferation. The present study reports the case study of image processing in a fruit grading plant with data safety over cloud with Original Equipment Manufacturer (OEM). How Artificial Neural Networks (ANN) architecture can help is discussed and recommendations are made for impending improvement.

In the present work, an attempt was made to reduce the NOx emission of crude rice bran oil methyl ester without any considerable increase in smoke density, when used as a fuel in a stationary CI engine. Three factors namely, fuel injection timing, Exhaust Gas Recirculation (EGR) and fuel injection pressure were chosen and their combined effect in controlling the NOx emission of a stationary Diesel engine fuelled with crude rice bran oil methyl ester was investigated. Three levels were chosen in each factor and NOx emission, smoke density and brake thermal efficiency were taken as the response variables. Experiments were designed by employing design of experiments method and Taguchi’s L9 orthogonal array was used to conduct the engine tests with different levels of the chosen factors. Multi Response Signal-to-Noise ratio (MRSN) was calculated for the response variables and the optimum combination level of factors was obtained simultaneously using Taguchi’s parametric design. Confirmation experiment was conducted for the obtained optimum combination level of factors and the results were compared with normal operating conditions and significant improvement was observed in the response variables. Dans la présente étude, il a été tenté de réduire les émissions de NOx de l'ester méthylique d'huile de riz brut sans accroissement considérable de la densité de fumée lorsqu'il est utilisé comme carburant dans un moteur stationnaire à allumage par compression. Trois facteurs, à savoir le calage d'injection de carburant, le pourcentage de recirculation des gaz d'échappement (EGR ; Exhaust Gas Recirculation) et la pression d'injection de carburant ont été choisis, et leur effet combiné a été examiné en matière de maîtrise des émissions de NOx d'un moteur Diesel stationnaire alimenté avec de l'ester méthylique d'huile de riz brut. Trois niveaux ont été choisis pour chaque facteur et les émissions de NOx, la densité de fumée ainsi que le rendement thermique au frein ont été retenus en tant que variables de réponse. Les expériences ont été conçues en employant la méthode des plans d'expériences et la table orthogonale L9 de Taguchi a été utilisée pour conduire les essais moteurs selon différents niveaux des facteurs choisis. Le Rapport Signal-Bruit de Réponses Multiples (RSBRM) a été calculé pour les variables de réponse et le niveau de combinaison optimum des facteurs a été obtenu en utilisant simultanément la conception paramétrique de Taguchi. Une expérience de confirmation a été menée pour le niveau de combinaison optimum des facteurs, puis les résultats ont été comparés avec les conditions de fonctionnement normal et une amélioration significative des variables de réponse a été observée.

A linear stability analysis is used to investigate the influence of mechanical vibration on the onset of thermosolutal convection in a horizontal porous layer heated and salted from above. Vibrations are considered with arbitrary amplitude and frequency. The Brinkman extended Darcy model is used to describe the flow and the Oberbeck-Boussinesq approximation is employed. Continued fraction method and Floquet theory are used to determine the convective instability threshold. It is found that the solutal Rayleigh number has the stabilizing effect. The existence of a closed disconnected loop of synchronous mode is predicted in the marginal curve for moderate values of solutal Rayleigh number and vibration amplitude.

Over the years, cyclones have left a deep and dark footprint on the coastal region of the Cuddalore district in southeast India, which was one of the worst affected districts in the mainland. These disasters over the past several years have revealed the differential impacts due to social structure, economic conditions, and level of infrastructure. Therefore, there is a need for strategies to address the aspects of socioeconomic and infrastructural vulnerability. Cuddalore district is one of the most vulnerable districts for Cyclone. The present study investigates the vulnerability of eastern coastal states of India from potential cyclones using Remote Sensing and GIS. Mapping of cyclone vulnerability zone on 1:50000 scale along the Tamil Nadu coast has been carried out using Remote Sensing and GIS techniques with six physical parameters such as elevation, wind speed, historical cyclone event significant wave height, probable maximum precipitation, and Landuse and Landcover. The regular rank and weight method have been used to integrate the above parameters to achieve the cyclone vulnerability zone map. The resultant cyclone vulnerability zone map has been divided into five cyclone vulnerability categories, namely very high, high, moderate, low, and very low. The output of the study showed significant results, which reflect that the entire northern coastal taluks come under very high cyclone vulnerability zone whereas central and southern coastal taluks fall under high to low cyclone vulnerability zone. This information would serve useful in advanced planning to minimize associated cyclone losses and reduce threats to future coastal development.