A NOVEL SIMPLE AND HIGHLY SECURE METHOD FOR DATA ENCRYPTION-DECRYPTION

In the course of the past 30 years, data has become pivotal to all aspects of human life. Data generated, captured, and replicated are increasing in size and expanding applications. The proliferation of fast wireless networks has encouraged data storage within the cloud. So, protecting data from attackers has become urgent to maintain its security and confidentiality, need for security and privacy technologies, systems, and processes to address it. This research paper proposes a simple and highly secure encryption decryption (SHSED) algorithm that can be used for cloud computing-based applications. It achieves the Shannon’s concept of diffusion and confusion by the involvement of logical operations, such as XORing, addition, and subtraction in addition to byte shifting. It is also characterized by the flexibility in the secret key length and the number of rounds. Experimental results have demonstrated powerful security level and a clear improvement in the encryption execution time measurements and security strength as compared with cryptosystems widely used in cloud computing

Developing an Expert System to Diagnose Tomato Diseases

There is no doubt that tomato diseases are one of the important reasons that destroy the tomato plant and its crops. This leads to clear damage to these plants and they become inedible. Discovering these diseases after a good step for proper and correct treatment. Determining the treatment with high accuracy depends on the method used in the diagnosis. Correctly, expert systems can greatly help to avoid damage to these plants. The expert system diagnoses tomato disease correctly to facilitate farmers to find the correct treatment based on the appropriate diagnosis. Objectives: An expert system has been established based on CLIPS to diagnose tomato plant diseas

A Proposed Expert System for Strawberry Diseases Diagnosis

Background: There is no doubt that strawberry diseases are one of the most important reasons that led to the destruction of strawberry plants and their crops. This leads to obvious damage to these plants and they become inedible. Discovering these diseases after a good step for proper and correct treatment. Determining the treatment with high accuracy depends on the method used in the diagnosis. Correctly, expert systems can greatly help in avoiding damage to these plants. The expert system correctly diagnoses strawberry disease to make it easier for farmers to find the right treatment based on the appropriate diagnosis. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment. Methods: In this paper the design of the proposed Expert System which was produced to help Farmers and students interested in agriculture strawberry in diagnosing many of the strawberry diseases such as: Leaf Spots, Grey Mold, Red Stele/Red Core, Wilt, Powdery Mildew, Alternaria Spot, Black Root Rot, Anthracnose (black spot), and Angular Leaf Spot. The proposed expert system presents an overview about strawberry diseases are given, the cause of diseases are outlined and the treatment of disease whenever possible is given out. CLIPS language was used for designing and implementing the proposed expert system. Results: The proposed strawberry diseases diagnosis expert system was evaluated by Farmers and they were satisfied with its performance. Conclusions: The Proposed expert system is very useful for Farmers with strawberry problem and students interested in agriculture strawberry

Mint Expert System Diagnosis and Treatment

Background: Mint is a grassy, perennial plant, belonging to the oral platoon, fast growing and spreading, its leaves are green in color, fragrant, tart, refreshing, square-shaped leg, bifurcated, erect, ranging in height from (10 - 201 cm). Home to Europe and Asia. The mint plant has many benefits, the most important of which are pain relief, treatment of gallbladder disorders, the expulsion of gases, anti-inflammatory, and relaxing nerves. While the mint plant is the ideal option for the start of gardens, it is prone to some common diseases that affect the plant's growth. Objectives: The main goal of this expert system is to get the appropriate diagnosis of disease and the correct treatment. Methods: In this paper, the design of the proposed Expert System was produced to help Farmers and those interested in agriculture in diagnosing many of the Mint diseases such as Mint rust, Verticillium wilt, Anthracnose, Powdery mildew, Black Stem Rot, Stem and stolon canker, Septoria leaf spot. The proposed expert system presents an overview of mint diseases are given, the cause of diseases outlined and the treatment of disease whenever possible is given out. CLIPS Expert System language was used for designing and implementing the proposed expert system. Results: The proposed Mint diseases diagnosis expert system was evaluated by Agricultural Students at AL Azhar University and some friends interested in agriculture and they were satisfied with its performance. Conclusions: The proposed expert system is very useful for Farmers and those interested in agriculture

Construction and Performance Monitoring of Various Asphalt Mixes in Illinois: 2015 Interim Report

A series of five experimental projects were constructed to better determine the life-cycle cost and performance of pavement overlays using various types and combinations of recycled materials—namely, reclaimed asphalt pavement (RAP), recycled asphalt shingles (RAS) and crushed concrete. The asphalt binder replacement (ABR) varied from 15% to 48% in the experimental sections. The study of these projects prior to construction, during construction, and for a short monitoring period after construction is intended to determine the impact of various pavement conditions, pavement cross-sections, mix designs, and material properties on the ultimate performance of the hot-mix asphalt (HMA) overlay. This interim report documents the construction and testing to date on two of the five projects in the study—Crawford Avenue/Pulaski Road and US 52 (IL 52 to Laraway Road)—that were constructed in 2014. Distress and profile surveys were conducted before and after construction. Samples were obtained of the HMA surface and binder courses and were tested for basic properties, plus Cantabro, stability/flow, Texas overlay cracking potential, fracture energy, flexibility index, fatigue, modulus, creep, and Hamburg rutting. Presented are early performance trends and baseline conditions that future performance can be compared against. Also included in this report is an update of performance on three total recycle asphalt (TRA) sections and a comparison section constructed in 2013 with ABR’s ranging from 20% to 60%.R27-161, Illinois Department of TransportationOpe

Construction and Performance Monitoring of Various Asphalt Mixes in Illinois: 2016 Interim Report

series of five experimental projects were constructed to better determine the life-cycle cost and performance of pavement overlays using various levels of asphalt binder replacement (ABR) from use of reclaimed asphalt pavement (RAP), recycled asphalt shingles (RAS) and crushed concrete. The ABR varies from 15% to 48% in the experimental sections. The study of these projects prior to construction, during construction, and for a short monitoring period after construction is intended to determine the impact of various pavement conditions, pavement cross-section, mix design, and material properties on the ultimate performance of the hot-mix asphalt (HMA) overlay. This second interim report documents the construction and initial testing of three of the five projects in the study—namely, Washington Street, US 52 (Laraway Road to Gougar Road) and US 52 (Gougar Road to Second Street)—which were constructed in 2015. Distress and profile surveys were conducted before and after construction. Samples were obtained of the HMA surface and binder courses and were tested for basic properties, plus Cantabro, stability/flow, Texas overlay cracking potential, fracture energy, Flexibility Index, fatigue, modulus, creep, and Hamburg rutting. Presented are early performance trends and baseline conditions that future performance can be compared with. Also included in this report is an update of performance on the sections constructed in 2014 and the total recycle asphalt (TRA) sections constructed in 2013.Illinois Department of Transportation, R27-161Ope

Utilizing Lab Tests To Predict Asphalt Concrete Overlay Performance

A series of five experimental projects and three demonstration projects were constructed to better understand the performance of pavement overlays using various levels of asphalt binder replacement (ABR) from reclaimed asphalt pavement (RAP), recycled asphalt shingles (RAS), and crushed concrete. The ABR varied from 15% to 60% in the experimental sections. The study of these projects prior to construction, during construction, and for a short monitoring period after construction is intended to determine the impact of various pre-existing pavement conditions, pavement cross-section, mix design, and material properties on the ultimate performance of the asphalt concrete (AC) overlay. This final report is the third report on this research project. Two interim reports that documented project construction and performance to date have been previously published. This report documents final material testing, performance data collection of distress and profile surveys after construction. This report provides a compilation of findings and recommendations from all stages of these projects. The testing suite included Cantabro, stability/flow, Texas overlay, Illinois Flexibility Index Test (I-FIT), fatigue, modulus, creep, and Hamburg rutting. Pavement performance as measured by transverse cracking was found to be more pronounced in thin AC overlays than in thick AC overlays. The Flexibility Index was found to correlate to transverse cracking and confirmed the validity of using this parameter in mix design development.IDOT-R27-161Ope