Volume VIII Issue III

Crime is an action which Violates rights and freedoms. It started since the beginning of creation and regrettably will continue as long as human exists. Utopia exists only in our imagination as crime cannot disappear completely. Yet, we can minimize and deter it. Our role as urban planners is to create secured urban spaces and to effectively functionalize urban components to deter crime. First, this paper will gather comprehensive urban elements and features from different scholars and theories to urban crime prevention. Second, these urban components will be filtered depending on their effect on crime. Third, the urban components which do affect crime will be ranked according to their risk degree depending on definite criteria. Then, the analytical part will discuss Miami Spring city as a case study to compare its crime index with its urban components. Finally, this paper will conclude the most effective urban elements on crime and how to functionalize them in a proper way.

In today’s modern age, it is very difficult to separate waste manually at household level due to the time crunch and busy schedule of people living in metropolitan regions. Also if the waste is separated manually, it may lead to spread of various harmful diseases. Hence to overcome this issue, we have put forth a solution. In our model, we are separating dry, wet and metallic waste by using inductive and capacitive proximity sensor.

Millions of people die from Diabetes Mellitus every year. Recently, researchers have discovered that Diabetes Mellitus can be detected in a non-invasive manner through the analysis of human facial blocks. Although algorithms have been developed to detect Diabetes Mellitus using facial block color features, use of its texture features to detect this disease has not been fully investigated. In this paper, we propose a Principal Component Analysis (PCA) algorithm to detect Diabetes Mellitus based on facial block texture features. In previous work, Local binary Pattern is used which is not effective. In order to test the system performance, the facial images of 200 volunteers consisting of 100 Diabetes Mellitus patients and 100 healthy persons are captured and analyzed through this system. Based on the test result, the Computer-assisted Non-invasive Diabetes Mellitus Detection System through facial key block analysis is proven to be effective and efficient at distinguishing Diabetes Mellitus from Healthy patients in real time.

Models based on plastic instability, geometric instability and vertex theory were used to predict forming limits of austentitic stainless steels, with special attention to low nickel grades. Geometric instability predicted well forming limits of AISI 204 Cu (2.5%Ni, 0.42mm thick) sheet due to finest grain size. Bulk shear band formation when added to geometric instability, predicted very well the forming limits in the case of AISI 204 Cu (1.25% Ni, 0.7mm thick) and AISI 204 Cu (1.25%Ni, 0.9mm thick) sheets. Geometric instability model treating β fitting parameter as variable, predicted well forming limits of AISI 204 Cu (2.5% Ni, 1.15mm thick) sheet. Geometric instability model using void growth parameters, correlated well with experimental values for AISI 204 Cu (1.25%Ni, 0.7mm thick) sheet. Geometric instability when combined with bulk shear band formation, β parameter as variable and void growth parameter, predicted well for AISI 304 (8%Ni, 0.5mm thick) sheet, compared to AISI 304 (8%Ni, 1.25mm thick) sheet. The difference is traced mainly to the large difference in n values. Predictions agreed with experiment for models using more inputs, and for some cases, fit was better with approximate versions of geometric instability, instead of the more complete one.

In medical field, computerized disease diagnosis is a rapidly growing dynamic area of research. In recent years, important attempts are made for the improvement of computerized diagnosis of disease because errors in medical diagnostic systems can result in seriously misleading medical treatments. Machine learning is important in data analysis and prediction .An effective prediction from already available data requires proper support of machine learning techniques. Machine learning techniques basically supportable classification of data and for predicting result. In the field of bio-medical, pattern recognition and machine learning promise the improved accuracy of perception and diagnosis of disease. They also promote the objectivity of decision-making process. For the analysis of high-dimensional and multimodal bio-medical data, machine learning offers a worthy approach for making classy and automatic algorithms. This survey paper provides the details of different machine learning algorithms.

Computers are known for their wide range of uses especially in scientific and mathematical fields. However little or no thought has been given to putting them into good and proper use in our immediate academic environment and this is saddening indeed. This research aims to introduce the concept of computer networking and in addition, present a useful application of such a network – the Computer Based Test. The work also tries to outline the benefits of the Computer Based Test over the Paper and Pen or manual test methods. The design of the system is quite simple and easily understood. Its flexibility makes it amenable for future changes and amendment to either incorporate other aspects of intelligence or to be designed for any other school age or class.

Analysis of huge data requires extracting information for decision making. Presently, information retrieval (IR) is one of the retrieval systems which are searching for specific information. This allows users to specify the search criteria as well as specific single keywords, phrases and sentences to obtain the required results. Additionally, an index of search engines has to be updated on most recent information as it is constantly changed over time. Particularly, information retrieval results as documents are typically too extensive, which effect on accessibility of the required results for searchers. Consequently, a similarity measurement between keywords and index terms is essentially performed to facilitate searchers in accessing the required results promptly. Thus, this paper proposed the similarity measurement method between words by deploying Jaccard Coefficient. The performance of this proposed similarity measurement method was accomplished by employing precision and recall based on three types of query user entered.

The demand for energy is growing at a substantial rate. The power generation in fact, does not suffice the demand. Hence it is high time when the world needs to think of alternative energy sources, which are renewable and sustainable. Solar energy is one such source. It will help to sustain the lives of millions of underprivileged people in developing countries, especially as it more competitive with other energy sources in terms of cost. This article focuses on the world energy needs, energy generation, the alternative sources available and how various countries are taking their best step forward when it comes to opting for renewable energy.

Customer churn is one of the most important metrics for a growing business to evaluate. It is a business term used to describe the loss of clients or customers. In the retail sales and marketing industry, customers have multiple choices of services and they frequently switch from one service to another. In these competitive markets, customers demand best products and services at low prices, while service providers constantly focus on getting hold of as their business goals. An increase in customer retention of just 5% can create at least a 25% increase in profit. Therefore, customer churn rate is important because it costs more to acquire new customers than it does to retain existing customers. This present of this paper is to classify customers in Customer Relationship Management (CRM) based upon a list of selected customer information by using Backpropagation Feed Forward approach. It will help the retail sales and marketing company to present the targeted customers with the estimated loss across all non-churners for the promotion in direct marketing.

Modelling and Characterization of combustion characteristics of hydrocarbon fuelled engines have always been left largely at the mercy of experimental means. Meanwhile the experimental means is either cumbersome to set up or costly to achieve. This work therefore modelled mathematically the combustion characteristics of Low Heat Rejection (LHR) direct injection diesel engine running on the methyl ester of seed oil of Terminalia Catappa L. and its blends. The choice of LHR engine is occasioned by its superior advantages of improved fuel economy, higher energy in exhaust gases and capability of handling higher viscous fuel. First law of thermodynamics, ANNAND’s heat transfer equations and Olikara and Borman fundamental combustion equations were employed to develop the combustion mathematical model for the LHR direct injection diesel engine fuelled with methyl ester of seed oil of Terminalia Catappa L. MATLAB was employed to simulate the developed model, and evaluate the impacts of crank angles on the peak temperature, peak pressure, rate of heat transfer and other combustion variables. The results show that for crank angle increase of the engine, there is corresponding cylinder peak pressure decrease by about 0.03 % for diesel fuel and 0 % decrease for blends of methyl ester of seed oil of Terminalia Catappa L., cylinder peak temperature increase between 6 to 15 % for the blends and 0 % increase for diesel; and heat transfer increase between 10 to 47 % for the blends and 0 % increase for diesel. The study concludes that the developed combustion model for Low Heat Rejection (LHR) direct injection diesel engines running on the methyl ester of seed oil of Terminalia Catappa L. and its blends is sufficient and can be extended to other fuels. Crank angle increase also enhances combustion characteristics and same is improved when percentage composition of methyl ester is increased in the blends.

Digital marketing is rising in India with fast pace. Many Indian companies are using digital marketing for competitive advantage. As the world is more dependent on the internet, it helps the business to reach out and connect with the people on a larger scale. More and More employment for the youth as this field is just growing and number of professionals are less. Campaigns can be easily customized and made more targeted as per our business requirements.

A GPS-Based tracking system is proposed for arranging shelters to the victims that are afflicted by natural calamities. The location manager and algorithms are assessed by using Android Studio software. The results demonstrate the approximate location of shelters to the victims and present the at most potential of the application.

The research on mass cum linear momentum balance model to predict fluid flow in a well bore of an oil reservoir is unveiled. The fundamental principles of mass cum momentum balance applied to control volume of material systems in this case a differential petroleum reservoir well bore. An intractable momentum balance model was derived from the principles of linear momentum. The model was solve using certified field data to generate values for profile plot of velocity and pressure parameters as a consequence of momentum of fluid flow in wellbore. The mass of the fluid flow in the well bore is a function of the pressure and the velocity sustenance in the well bore and this is an annexation of the momentum balance model. Finally, the pressure-velocity effects of reservoir well bore predicts sustainability of exponential production of crude oil from a given well bore.

This research examined the use of sugarcane bagasse ash (SCBA) as a supplementary material in concrete. The coarse aggregates were granite chippings from Abakaliki, Nigeria and fine aggregates from Amansea River, also in Nigeria. The sugarcane bagasse was from a Sugar Processing Plant, also in Nigeria. The aggregates were tested for physical and mechanical properties based on BS 812: Part 2 & Part 3:1975. A total number of 90 cubes were made, cured and tested according to BS 1881: Part 108; BS 1881: Part 111 & BS 1881: Part 116. Scheffe’s (5, 2) lattice polynomial was used to develop a mathematical model for the optimization of the compressive strength of the sugarcane bagasse concrete at 28th day. The mathematical model developed was Ŷ = 22.13 X1(2X1-1) + 29.08 X2(2X2-1)+ 22.52 X3(2X3-1)+ 15.59 X4(2X4-1)+ 15.15X5(2X5-1) + 98.68 X1 X2 + 83.76 X1 X3 +72.64X1 X4 + 91.44 X1 X5 + 97.68 X2 X3 +54.68X2X4+57.12X2X5+ 68.1668X3X4 + 80.04X3X5 + 58.88X4X5. The student’s t-test and the Fisher test were used to test the adequacy of this model. The strengths predicted by the model were in complete agreement with the experimentally obtained values and the null hypothesis was satisfied.

The elimination of software development constraints through software testing and integration is very significant in order to completely differentiate the constraints that we experience during the testing and integration of software development, because the procedures are inter-woven. However, it is advisable to separate the procedure of testing and integration method into different modules or sub-routines before combining it together as to ensure error-free software application that will be easier to work with and attest to its meeting the client specifications.

Music recommendation system is a recommendation engine which recommends songs to the user based on his interest. Music can raise someone’s mood, get them excited, or make them calm. There are many types of music to which one can listen. World of so music is so big that a person can’t explore all the songs he’d like and listen to them. So, we build a model which assists a person in identifying songs he might like. These notes, which are the pitch and duration of a sound, identify music. There are unique features of songs which are determined by these notes. We can group the songs which are similar based on these features. In our project we use “million song datasets” and extract features of each song and create a dataset of features of songs. This dataset helps us to create a model. This model is built on clustering concept which forms the clusters of songs which have similar features. Whenever user listens to a song S, the song which has similar features to S is recommended to him. The history of the songs that user has listened to is also maintained according to the genre and a playlist of songs of his interest is created.

In the present experimental work, is made to study on the strength properties of structural light weight concrete produced replacing coarse aggregate by blending light weight aggregates such as Cinder(class-F) and ECA for M30 grade of concrete. The light weight concrete is prepared by using Cinder and ECA with replacement of cement and coarse aggregate with 40,50,60 % and 100% in concrete . Mix design of the project is 1:1.24:0.63. As per above mix proportion we casting 15 no. of brick specimens of size 0.61x0.20x0.10m and cylindrical moulds of 0.15x0.3m. For the period of 7,14,28 days. Light weight concrete has strength comparable to normal weight concrete, yet is typically 25 % to 35% lighter

This research article is intended to investigate the college students online shopping experience with reference to jabong.com, this research is chosen in the view of fast double digit growth in e-commerce space, this study would help to identify the college female students buying experience over jabong.com. Since little research literature found with reference to female students' online buying experience. The researcher has developed an appropriate questionnaire with all necessary statistical tools such as reliability and factor analysis, tested questionnaire was used to collect data from 100 samples in Bangalore city, then data was analyzed using SPSS. Normality tests show non-normal distribution of responses, hence non-parametric tests used for analyzing data. The results found that customers are happy with the timely delivery of the apparels and also happy with the pricing and website design by jaboong.com. However, customers have shown discomfort over credit/debit card payment option due to security issue.

The rapid growth of technology and infrastructure has made our live easier. The advent of technology has also increased the traffic and the road accident takes place frequently which causes huge loss of life because of poor emergency facilities. Our project will provide an optimum solution to this draw back. According to this project when a vehicle meet with an accident immediately vibration sensor will be activated and send to the signal to microcontroller. Microcontroller sends the alert message through the GSM MODEM including the location to police control room or a rescue team. So the police can immediately trace the location through the GPS MODEM, after receiving the information. Then after conforming the location necessary action will be taken. If the person meets with a small accident or if there is no serious threat to anyone’s life , then the alert message can be terminated by the driver by a switch provided in order to avoid wasting the valuable time of the medical rescue team. There is a one death every four minutes due to traffic accident. These causes huge social and economic burden to people involved, so it’s very important to nullify accidents and find out the real reason of it. The proposed system records information about the vehicle much before and during the accident by using a black box.

Escalation in the amount of vehicles is raising the issue of vehicle parking at an appropriate area especially, the car parking. This directly or indirectly leads to traffic congestion and crowding. This is because the current transportation infrastructure and car parking facility are incapable to cope up with the arrival of considerable amount of vehicles on the road. To ease the mentioned problem, some authors proposed a Smart Parking Management System which would benefit users to automatically find a parking zone with a lower amount. Smart Parking booking system involves use of IR sensor, Arduino Uno, ESP8266-01 Wi-Fi module and web server. The modern parking platform enables us to connect, evaluate and automate data gathered from devices and execute the possible smart parking system. The system would facilitate vehicle occupancy, checking and managing vacant parking space in real-time and scale-down the environmental pollution. The proposed system caters optimum usage of parking area and obtains substantial revenue generation.

The main aim of the project is to provide security to the child. For this to be achieved, we use wearable device which help the parents to get notified if the child faces any unusual situation. It instantly reacts for child’s safety until the parents arrive or it could apprise the parents and help to locate them. It is implemented using a Raspberry Pi3 and the sensors. Sensors collect data and store in the server which can be sent to parents through android application. It includes bright SOS light and distress alarm buzzer. The aim of this project is to provide security to the child in real time and also helps parents to observe the child’s condition using android application.