In this article, we review a number of pros and cons, including the meaning and application of artificial intelligence. We also considered the latest technological developments in the real world and discussed the application of AI in the fields of heavy industry, gaming, aviation, weather forecasting and expert systems, focusing on expert systems. Specialty applications for AI include expert systems, speech recognition, and machine vision. AI can be classified as weak or strong. Weak AI (also known as Narrow AI) is an AI system designed and trained for specific tasks. Virtual personal assistants (such as Apple's Siri) are weak AI. Powerful AI, also known as artificial intelligence, is an AI system with a wide range of human cognitive capabilities. When performing unfamiliar tasks, powerful AI systems can find solutions without manual intervention. The artificial intelligence that makes computers behave like humans is human-like, fashion-like, and humans spend much less time. Therefore, it is called artificial intelligence. This article concludes by analyzing the future potential of artificial intelligence.

The aim of the study was to develop a two-tier multiple-choice quality assessment tool based from the views of teachers. The study employed descriptive design with qualitative analysis. The researchers interviewed and employed the test to science teachers who specialize physics, biology and chemistry. The researchers utilized 15 multiple-choice tests about motion have been validated by experts. The result shows alternative conceptions on force and motion are the definition of nonzero value and how to interpret graphs of motion, whether it is distance, velocity or acceleration time graph. The study suggests that getting views, whether teachers or students prior to testing, is a big help in doing a quality assessment tool. Ping this test, firstly, content boundaries, learning objectives and alternative conceptions were identified.

This paper primarily focuses on Gate Diffusion Input (GDI) technique used for the implementation of digital logic circuits. It also discusses in detail the limitations and modifications of the basic GDI technique. Initially, GDI was a new technique used for low power digital combinational circuit design. This approach provides a reduction in power consumption, propagation delay, and area of digital circuits while the logic design complexity is small. GDI methodology allows implementation of a wide range of complex logic functions using only two transistors. GDI is a new technique for digital circuits implementation with a lot of advantages over existing ones. This paper also analyzes the recent applications of GDI technique which are the implementation of MASH 1-1 and MOD 2 modulator for Sigma Delta DACs and development of full adders for efficient arithmetic operations.

The advancements and increment in the number of gadgets enhances the comfort of human on a daily basis. Cloud and IoT is a state of art technology that has various applications in day to day life such as better portability and accessibility of devices and appliances. The paper works on a technology which undermines the current trend of searching the parking space. This paper proposes a system, where the end user will be able to book a desired parking slot from a pool of available spaces. User will be able to book the slots from any places through a mobile app. There will be variable rates as per the dependence of the users. The system provides the administrator an access to all the data and system while moving using cloud instead of remotely accessing. Use of Cloud & IoT makes it easier to monitor. This project provides a simulation and a prototype for the above mentioned system.

The paper describes the design of an intelligent auto traffic signal control system. Traffic congestion is the major issues that would be considered. At the junctions of the road, vehicular traffic intersects and it can be controlled by the traffic signals. One of the main need of the traffic signal is that good coordination and control among the vehicles. The traffic on the road is very high during the peak hours. This leads to the emergency vehicles to stick in the traffic jam. Dynamic control of traffic is needed during peak hours. Hence we propose an automatic traffic light control for emergency vehicles. The traffic light in the path of any emergency vehicles is controlled. It does not depend on the way of monitoring people to be manual which results in time delay. So, Human life is not affected due to the time delay in the arrival emergency vehicles. To control the traffic, the man power is not required in this method. The emergency vehicles find the shortest path to the location of the accident. If the train crosses the junction, the emergency vehicle gets alerted before five km. In front of the zebra line crossing, a divider can be created for safety crossing of people. The system uses AT mega 8micro controller, IR sensors. This system is used to control the traffic lights. And also save the time in emergency periods.

Statistics deals with aspects of data including the planning of data collection in terms of the design of surveys and experiments. In applying statistics to, e.g., a scientific, industrial, or societal problem, it is conventional to begin with a statistical population or a statistical model process to be studied. Populations can be diverse topics such as all persons living in a country or every atom composing a crystal. Statistics is the mathematical science involving the collection, analysis and interpretation of data. A number of specialties have evolved to apply statistical theory and methods to various disciplines. When census data cannot be collected, statisticians collect data by developing specific experiment designs and survey samples. Representative sampling assures that inferences and conclusions can safely extend from the sample to the population as a whole. In statistics, quality assurance, and survey methodology, sampling is concerned with the selection of a subset of individuals from within a statistical population to estimate characteristics of the whole population. In survey sampling, weights can be applied to the data to adjust for the sample design, particularly stratified sampling. Statistics tools are necessary for the data analysis. The computer revolution has implications for the future of statistics with new emphasis on experimental and empirical statistics. A large number of both general and special purpose statistical software are now available. Results from probability theory and statistical theory are employed to guide practice. In business and medical research, sampling is widely used for gathering information about a population.

Nowadays the home security is essential to avoid unnecessary steal. The home security is accomplished by developing and implementing proto type device. It is functioned by Android mobile through Global System for Mobile communication (GSM) and employs an IR sensor to detect the unauthorized person entering into the home. In case an IR sensor detects a person then the keypad will be activated to enter the password and the SMS will be sent to the house owner for authentication based on the owner’s replay, the gate will open. The warning message will be sent to the owner in case the person enters a password mistakenly. At the mean time buzzer will be activated. Also the Android application is used to control the electrical appliances.

A Static Synchronous Compensator (STATCOM) is one of the Flexible AC Transmission System (FACTS) device which plays an vital role in power system network in alleviation of small and large transient disturbances and better voltage regulation. This paper proposed a self tuning Proportional-Integral (PI) controller for STATCOM which provided a voltage support at point of common coupling (PCC). Self tuning of PI controller was achieved by adapting PI controller gains with system parameters by using Bats Echolocation controller which mimics the Bats Echolocation behavior. In the proposed controller, the system voltage (parameter) at point of common coupling compared with reference voltage and then Bats Echolocation Controller updates the PI controller gains according to the variation obtained between them. This paper also proposed a Cascaded Multilevel Inverter (CMLI) instead of conventional Voltage Source Inverter (VSI) for STATCOM to obtain better voltage regulation at point of common coupling. The voltage imbalance between H-bridge cells in CMLI was rectified by prosing Multicarrier Pulse Width Modulation (PWM) techniques, The proposed controller was validated by comparing the simulation results with fixed gain PI controller and Self tuning PI controller using Neural controller and Particle Swarm Optimization.

In mechanical industry there is unpredictable demand, volatile and inflexible supply processes depending on heavy competition in marketing. The manufacturing and inventory cost are high. To reduce the cost using lean principles. Lean supply chain management is the processes, how well designed supply chain should operate, delivering products quickly to the end customer, with minimum waste. The focus of this multi-dimensional approach is on cost reduction and eliminating waste by using tools such as Just in Time (JIT). By linking Lean Attributes (LAs) and Lean Enablers (LEs), this study used Quality Function Deployment (QFD) to increase the leanness of the chain. Fuzzy logic is used to deal with linguistic judgments expressing relationships and correlations required in Quality Function Deployment (QFD). To illustrate the practical implications of the methodology, the approach is exemplified with the help of a case study in the Mechanical industry. We use the industry wide data, articles from business journals, industry reviews in India.